In this article, we introduce a portable and low-cost ventilator that could be rapidly manufactured, to meet the increasing demand of ventilators worldwide produced by COVID-19 pandemic. These ventilators should be rapidly deployable and with functional capabilities to manage COVID-19 patients with severe acute respiratory distress syndrome (ARDS). Our implementation offers robustness, safety and functionality absent in existing solutions to the ventilator shortage (i.e., telemonitoring, easy-to-disinfect, modularity) by maintaining simplicity. The design makes use of a manual resuscitator as the core respiration component activated by a compression mechanism which consist of two electronically controlled paddles. The quality measurements obtained after testing on a calibrated artificial lung demonstrate repeatability and accuracy exceeding human capabilities of manual ventilation. The complete design files are provided in the supplementary materials to facilitate ventilator production even in resource-limited settings. The implementation of this mechanical ventilator could eliminate device rationing or splitting to serve multiple patients on ICUs.
In this article, we introduce a portable and low-cost ventilator that could be rapidly manufactured, to meet the increasing demand of ventilators worldwide produced by COVID-19 pandemic. These ventilators should be rapidly deployable and with functional capabilities to manage COVID-19 patients with severe acute respiratory distress syndrome (ARDS). Our implementation offers robustness, safety and functionality absent in existing solutions to the ventilator shortage (i.e., telemonitoring, easy-to-disinfect, modularity) by maintaining simplicity. The design makes use of a manual resuscitator as the core respiration component activated by a compression mechanism which consist of two electronically controlled paddles. The quality measurements obtained after testing on a calibrated artificial lung demonstrate repeatability and accuracy exceeding human capabilities of manual ventilation. The complete design files are provided in the supplementary materials to facilitate ventilator production even in resource-limited settings. The implementation of this mechanical ventilator could eliminate device rationing or splitting to serve multiple patients on ICUs.
The current COVID-19 pandemic is causing a rapidly increasing number of SARS-CoV-2 pathologies around the world. Based on the number of patients expected to contract the disease and especially those likely to require assisted ventilation, we are currently facing a potential shortage of mechanical ventilators [1], [2].Most COVID-19 patients who develop Acute Respiratory Distress Syndrome (ARDS) often require prolonged mechanical ventilation. Due to this and the limited number of ventilators, health professionals around the world have been forced to make difficult triage decisions for patient treatment [3]. The problem is further aggravated because of the complexity and expense of commercially available Intensive Care Unit (ICU) ventilators whose distribution has also been affected by the breakdown of regular supply chains and factories closures as a consequence of the pandemic [4].Therefore, there is a critical need for health care facilities with sufficient number of ventilators because access to such equipment directly affects the number of deaths associated with the disease in an ICU. In response to this crisis, five innovation centered institutions in Peru gathered and conceived the Masi project, a team to develop a ventilator with sufficient functionality to safely treat COVID-19 patients with ARDS, while reducing the production time, logistical complications and cost to make ventilators available to assist and sustain the already saturated Intensive Care Units (ICU) system or any emergency point of care.The ventilator design focuses on safe operation and reliable production while addressing the specific needs of COVID-19 patients with ARDS: minimizing part count, reducing or eliminating reliance on scarce parts and resources, ensuring viable implementation in different healthcare systems (from incipient systems like ours in Peru and other across the world) and seeking simple assembly, testing and use procedures by health-care personnel with limited experience on this type of ventilator system [5].Modern ICU ventilators provide complex control and intricate feedback loops of a wide variety of respiratory parameters and ventilation modalities for highly specialized staff [6], [7]. Regulatory requirements and certification procedure are understandably high, paired with the failure of supply lines and the difficulty in rapidly ramping up production of commercial ventilators slow down the healthcare system response. In the meantime, lives are at risk. In addition, some of the emergency ventilators which are still commercially available do not meet the medical requirements of the complex ARDS-like pneumonia associated with COVID-19 which requires pulmonary protective ventilation with careful control of pressure and volume as compliance of the infected lung tissue can rapidly deteriorate, which may lead the patient to a barotrauma or further lung injury. We are then left with an unmet need for COVID-19 pneumonia-appropriate and rapidly deployable emergency-use ventilators.In this context the project Masi (word in quechua for ”companion”) was conceived to provide a low-cost emergency ventilator that can meet the ongoing growing demand while complying to basic healthcare regulations. Several healthcare regulation agencies such as the Spanish Agency of Medicines and Medical Devices (AEMPS), United States Food and Drug Administration (US FDA) and the United Kingdom Medicines and Healthcare products Regulatory Agency (UK-MHRA) have issued guidelines for emergency ventilators design and development. In the absence of a global standard for open source ventilators, most of the initiatives have adopted the UK-MHRA guidelines for Rapidly Manufactured Ventilator System (RMVS) [8] as the baseline standard for design and development of such ventilators. Masi has also been designed to comply with these guidelines and the General Directorate of Medicines, Supplies and Drugs of Perú (DIGEMID) verified that the design met the specified standards.In addition, safety and easy usability by healthcare professionals are the two main factors considered in Masi development. Based on published literature and reported clinical experience [9], [10], [11], [12], we determined the following ventilation features to be essential for safe use in patients in this crisis: Pressure and volume controlled ventilation modes, respiratory rate (RR), inspiratory time and forward-compatibility with external modular components such as adjustable positive end-expiratory pressure (PEEP) valves. Particularly, the ventilator interface has been designed in such a way that it requires minimal training to operate the ventilator without sacrificing ventilation modes available in more complex commercial ventilators (VC–CMV, PC–CMV and PC–CSV).The design of Masi is unique compared to other open-source designs currently available in its compression mechanism, the ability to control various respiration parameters, simultaneous implementation of the aforementioned operation modes and real time monitoring through different portable devices. The design makes use of a manual resuscitator as core driver to insufflate air into the patient airways via a mask, similarly to other designs found in open projects like E-Vent of MIT [13] or ApolloBVM from Rice University [14] and closed-sources derivatives like OxVent of University of Oxford and King’s College London [15] and Spiro Wave from 10xBETA [16].In addition, basic alarms indicating high or low pressure and volume are implemented to notify the healthcare provider when desired parameters are not being met or if there is a significant problem with the system. Our approach provides predictable delivery of ventilated breaths and streamlined device production. Masi is a ventilator that, although based on the automation of a manual resuscitator, includes functionalities that can be related to a critical use ventilator such as the Medtronic Puritan Bennett 980. This is supported by the inclusion of invasive and non-invasive ventilatory types both mandatory and spontaneous. In addition, control and monitoring of oxygen concentration is provided. Therefore, it is also superior to some of those developed in the context of the emergency, such as the Spiro Wave. The PI, VT, and PEEP ranges meet the requirements of the MHRA guideline and were verified with specialists in the care of COVID-19 patients. A feature-wise comparison of Masi with the two ventilators which are already being used in ICUs is presented in Table 1.
Table 1
Functionality comparison versus two frequently deployed ventilators.
Masi
Spiro Wave MIT Emergency Ventilator
Medtronic Puritan Bennett 980
Ventilation Type
Invasive Non-invasive
Non-invasive
Invasive Non-invasive
Mandatory type
Volume control Pressure control
–
Volume control Volume control plus Pressure control
Pressure support Tube compensation Volume support Proportional assist ventilation
Inspiratory pressure (PI)
(0–45) cmH2O
(0–40) cmH2O
(5–90) cmH2O
Tidal volume (VT)
200 ml to 800 ml
200 ml to 800 ml
25 ml to 2500 ml
End expiratory pressure (PEEP)
(0–20) cmH2O
(0–25) cmH2O
(0–45) cmH2O
O2%
(21–100) %
–
(21–100) %
Functionality comparison versus two frequently deployed ventilators.Several source ventilator designs have been proposed during the outbreak. Most of the open alternatives shared to the community have been extensively reviewed in [10], including some notable designs distributed through the web like [17], [18], [19]. A particular useful taxonomic study that focuses on highlighting three important characteristics (i.e., buildability, adoptability and scalability) to make a project quickly deployable was presented in [20]. This taxonomy helped us to qualitative compare our ventilator with other projects including the percepction of three important parties: Engineers, healthcare personnel and managers respectively for a classification matrix divided on 4 quadrants: early projects/proof of concept, educational projects, hospital grade replacements and traditional hospital grade MVs. We consider this iteration of Masi in the quadrant of hospital grade replacement equipments, sacrificing a bit of buildability over other alternatives like E-vent and Openbreath by including ventilation modes with graphical feedback and a medical grade sterilizable casing and mechanism for a cleaner and straightforward adoption into our local emerging medical service system.In the next sections we will present further design choices which were based by targeting safeness, effective ventilation and quick production. For validation, the device was tested utilizing a precision test lung and a gas flow analyzer with time-stamped data capture.
Hardware description
Functional blocks
Masi hardware is distributed in three mayor blocks: The ventilation circuit, the electrical circuit and the mechanical system, all of them controlled simultaneously by the firmware. These three functional blocks are presented in Fig. 1. The ventilation circuit comprises the pressurized medical air and oxygen inlet, the reservoir of the manual resuscitator, connections, valves, filters and pipes that go directly to the patient. The electrical circuit comprises the power supply unit, sensors, the control unit and the step motor. Finally, the mechanical system comprises the mobile manual resuscitator actuator and the metal structure containing all aforementioned parts (equipment housing).
Fig. 1
Block diagram: Ventilation circuit, electrical and power control.
Block diagram: Ventilation circuit, electrical and power control.
Ventilation circuit
All the components of the circuit ventilation systems are medical grade and comply with regulations and permits for use in hospitals. The oxygen inlet is set in a low flux manometer with the recommended values provided to the clinician by Masi throught the FiO2 sensor feedback and serves flux to the reusable resuscitator. Masi’s mechanical design allows the adaptation of multiple commercial reusable resuscitators (i.e, Besmed PS-2103, the Ambu Oval,etc). The possibility to adapt any commercial resuscitator increases its deployment speed and success rate in case this material are not standardized. Also, being a reusable device, it allows easy disassembly and sterilization by immersion in glutaraldehyde disinfectant or steam. In addition, a PEEP valve is located on the inspiration/expiration conduct at the end of the expiratory circuit connected to an HMEF filter. It is necessary to mechanically regulate the level of the PEEP valve each time for a new ventilation configuration. Fig. 2 depicts the external ventilation connections. The flow/pressure probe is connected directly to the board through the Masi peripheral input (see Section 6.3), the presure is measured directly and the flow is derived from the pressure difference between these two inlets.
Fig. 2
External ventilatory circuit.
External ventilatory circuit.
Electrical circuit
Masi is powered by a grounded AC electrical outlet whit a protection fuse of 3A. The power is handled by an AC/DC Mean Well DRC-100 uninterruptible power supply (UPS) with a nominal power of 96 W and a self voltage input of 90VAC to 264VAC. The DRC-100 source provides electrical leakage protection and compliance with IEC 62368-1 and TPTC004. The output is set for a nominal load of 27.6VDC; in case of power failure, the equipment has a battery bank that allows an uninterrupted autonomy of at least three hours of operation complying with ISO 80601–2-80:2018(E), clause 201.11.8.101.1(C) which exceeds the MHRA-RMVS requirements of a minimum battery life of 20 min with hot-swapping capabilities to extend it to two hours. The sensing systems comprises three sensors. Two used in the calculations of flow and pressure control and a third one measuring the oxygen percentage. The first one is a differential pressure sensor SM9541-010C-D-C-3-S from SMi, which has a pressure range between −10 to 10 cmH2O and 1% full-scale accuracy. accuracy. The second one, an integrated pressure sensor MPVZ5010 from Freescale, with a range of 0 to 10 kPa and an accuracy of 5% at temperatures between 0 and 85 °C. The third sensor (CiTiceL AO2) which measures the oxygen percentage provides a full range measure with a resolution of 0.01%. At the initial configuration of the device, there is an internal test of the sensing system, setting a software failure flag, implemented in the control unit. In case the failure flag is set during operation, there would be screen, sound and portable devices alarms to alerts the clinicians. In these cases the clinicians can open the lid and begin to manually cycle the ventilator.The sensing system comprises three sensors, two used in ventilation control and a third one to measure the oxygen percentage. The first one is a differential pressure sensor SM9541-010C-D-C-3-S from SMi, which has a differential pressure range between −10 to 10 cmH2O and 1 % FS accuracy. The second one is an integrated pressure sensor MPVZ5010 from Freescale, with a range of 0 to 10 kPa and an accuracy of 5% FSS at temperatures between 0 and 85 °C. The third sensor measures the oxygen percentage (CiTiceL AO2) provides a full range measure with a resolution of 0.01%. At the initial configuration of the device, there is an internal test of the sensing system. If during the test the failure flag is set, there would be an error showed on the screen. In case the failure flag is set during operation, there would be screen and sound alarms.The engine module is driven by a DM556D controller. The DM556D offers low noise, vibration, and functioning temperature values. Its voltage is DC 24 V-50 V and it is suitable for all the 2-phase hybrid stepper motor whose current is less than 5.6A. The stepper motor is responsible for operating the compression mechanism of the manual resuscitator. It can operate continuously and has a high precision step control with a radial force of 75 N and axial force of 15 N. The motor is electrically isolated from the chassis, thus protecting the user and the system from any electric shock. The power console complies with quality standards and electrical and mechanical protection according to the rules: EN60034-1, EN55014-1, EN55014-2, EN61000-3–2 and EN61000-3–3.
Mechanical system
The manual resuscitator drive mechanism is based on a system of paddles attached to an axis which serves as pivoting point (similar to a clamp), where the upper end of the pallets receives the force through a chain drive transmission. This system transforms the torque and rotational movement of the step motor to translation and force, which allows to compress the resuscitator with both pallets in a controlled manner.The support structure, casing of the internal parts and the compression mechanism are made of austenitic stainless steel material AISI 304, selected for its high resistance to corrosion against cleaning products used for surface sterilization (Fig. 3). Also, it is not sensitive to magnetic fields, which allows to protect the sensors and electronics. Its pedestal has four antimicrobial wheels of 10 cm in diameter following the specification of the standard IEC60601–1 sub-clause 9.4.3 for mobile equipment.
Fig. 3
(a) Front and (b) Back views of the compression mechanism (the manual resuscitator is highlighted in red).
(a) Front and (b) Back views of the compression mechanism (the manual resuscitator is highlighted in red).
Telemetric remote interface
The telemetry module allows mobile clients to connect to a web server hosted on the ventilator to display pressure, flow and volume graphs, the user can also select the programmable values remotely. The telemetric capabilities of the device are controlled from the Main Microcontroller (MM), that sends sample data, alarms, etc to the Telemetry Microcontroller (TM). The TM performs a connection setup upon the ventilator’s power on sequence. This setup attempts to connect to a configured network. This configuration is done once at startup, and provides Masi with the required credentials to access the local network, from this point the operation can continue without any further manipulation and start the execution of its telemetry functions. The telemetry is performed via MQTT messages sent to a broker located in a cloud server. The use of a broker in this instance, allows for direct operation to the client applications without use of the server on this type of situations which reduces latency. Data is transferred from the mainboard to the telemetric module in buffered time windows of 3s containing 75 samples where is stored and broadcasted to each of the clients through a TLS cryptographic protocol provided by https://letsencrypt.org/ (ISRG, California, USA) ensuring the integrity of the transmitted data and security of the patients information. Fig. 4 depics the communication process.
Fig. 4
Block diagram describing the telemetry data flow).
Block diagram describing the telemetry data flow).
Firmware
The controller and power board interacts with the ventilation circuit sensors driven by the firmware. Its is divided in four main blocks: Wi-FI communication, which allows Masi to be accessed remotely for patient monitoring; battery control which makes regulates and diagnostic the health of the power circuits, graphical interface driver and the central control which all other blocks are connected to. The files corresponding to each of these block are uploaded to the repository.The firmware injection is performed through an atmel ICE for the ATMEGA files and through visual studio for the other two microcontrollers according to the following sequence:Build Masi-ControlFlash.7z files in atmel studio and load the compiled version in the ATMEGA 4809Load the ATMEGA 4809 EEPROM with the calibration fileBuild Masi-Bat.7z files in the ATMEGA 48 PBLoad the STM bootloader throught the board serial portLoad the GUI interface design files in the touchscreen SD slotBuild the Masi-GUI.7z files and load them in the STM32F103C8 through USBBuild the Masi-TELE.7z files and load them to the ESP-WROOM through USBMasi is capable of operating under three ventilation modes: VC–CMV, PC–CMV and PC–CSV to control volume and pressure (VC or PC respectively). The first two modes execute a continuous mandatory ventilation (CMV), where spontaneous breaths are not allowed between mandatory breaths and the third mode executes continuous spontaneous ventilation (CSV), where all breaths are spontaneous.
Device potential in the current crisis
Masi has both mandatory and support ventilation modes. In addition, it offers tele-monitoring capabilities when paired with portable devices like laptops, cellphones and tablets.Masi has a novel chain drive transmission to transform the motor torque into compression through its double paddle system. This is superior to other other implementation seen in the literature which normally use only unilateral compression. It also has no backlash, and is far quieter.Unlike other emergency ventilators known to us, we offer a tactile screen design allowing visual feedback for monitoring and a fully alarmed ventilation operation suitable for life support.The system complies with UK-MHRA standards and its capable of being used clinically on ICU due to its robustness and easy-to-disinfect design.Fig. 5 presents the assembled prototype and its interaction with different peripherals for patient monitoring.
Fig. 5
(a) Front face of MASI (b) Patient monitoring on different periferals.
(a) Front face of MASI (b) Patient monitoring on different periferals.
Design files
Electronic design
Chassis and mechanism design
Firmware
Bill of materials
Ventilation circuit
Build instructions
The build process is divided in three phases: The metal fabrication, the electronic fabrication and assembling. Details on each phase are presented as follow.
Metal fabrication
Metal mechanical manufacturing includes laser cutting, CNC bending, TIG welding, among others. The manufacturing of the main mechanical parts of Masi starts with the selection of a stainless steel plate, which will be the base for this piece. After a cleaning treatment of the steel plate, it is cut according to the plans with a laser cutting machine. One advantage of using laser cutting is to avoid regrinding for chip removal at the cutting edge, but it could also be cut with more traditional cutting techniques. Finally, it goes through a CNC folding process to shape the parts to be ready for the welding or coupling process. The design files for the ventilator housing, support and compression mechanism are published in the file repository.
Electrical circuit
Electronic fabrication
The printed circuits were produced on double-sided fiberglass boards. Fig. 6 depicts a diagram describing the board functional blocks beginning by an initial division between the front panel and the electronic tray. The front panel contains elements that interact with the operator. These elements are: A touch screen controlled by serial commands, a mechanical encoder and button, that allows select and set operation values and an on/off button. The electronic tray contains an AC/DC power supply, UPS and the PCB.
Fig. 6
Functional blocks present in Masi’s board design.
Functional blocks present in Masi’s board design.The main PCB comprises the following elements:A self-latching circuit; when the on/off button is pressed the PCB is energized and activates a contact that allows to control it is own power supply.Three DC/DC isolated power supplies that transfer power without direct electrical connection.The control microcontroller processes a closed loop control of the system, acquiring data of the pressure sensors and controlling the motor.The screen microcontroller is in charge of the interaction between the operator and the equipment, shows the equipment ventilation graphs and generates the alarms of the system.The Wi-Fi microcontroller send the alarms and graphs of ventilation to a server in real time. So, a doctor can diagnose remotely.The individual connections for each component and their corresponding routing at the final board are depicted in the.sch and.brd files respectively. This files are part of the source repository uploaded to the Mendeley database.
Assembling
The assembling procedure is divided in three phases: The front face assembling, the resuscitator compressor set up and chassis mount. The aforementioned sequence is depicted in Fig. 7. An overview of each step of the process is presented in the next subsections and its complemented by a series of videos contained in the source repository uploaded to the Mendeley database.
Fig. 7
(a) Assembled front face (b) Manual resuscitator compressor fixation (c) Chassis mount.
(a) Assembled front face (b) Manual resuscitator compressor fixation (c) Chassis mount.
Front face assembling
The front face is divided in two parts. The first contains the touch screen and physical interface buttons; the latter the control and power boards.For the interface panel section, the three elements (screen and buttons) are placed in their corresponding holders as seen on Fig. 8a. On the other hand, the battery, UPS and the control and power board are distributed in the front face back plate shown in Fig. 8b. Both parts fit into each other vertically and are attached to each other by bolts as seen on Fig. 7a.
Fig. 8
(a) Touch screen and interface buttons (b) Control and power boards.
(a) Touch screen and interface buttons (b) Control and power boards.
Resuscitator compression mechanism
The compression mechanism is the responsible for activating the manual resuscitator during operation. It can be divided in two main parts: the actuator and protection cover. The first comprising the step motor (and its supporting structure), the resuscitator holder, the driving mechanism and the compressing pads; the latter comprising the structure which separates the manual resuscitator from the actuator block (Fig. 9). For an intuitive overview of the assembling process, the corresponding explosive views including the list of parts are included in the repository files.
Fig. 9
(a) Actuator and Cover view of the compression mechanism.
(a) Actuator and Cover view of the compression mechanism.A complete view of the assembled compression mechanism is presented in Fig. 10, where the mechanism, motor and manual resuscitator are depicted in gray, black and blue respectively.
Fig. 10
(a) Back and front (b) view of the compression mechanism.
(a) Back and front (b) view of the compression mechanism.The process begins by mounting the step motor supporting structure, as shown in Fig. 11. Then step motor is attached to it at the same time than the stop sensors (for paddle feedback to the main board) and the pivots for the driving mechanism.
Fig. 11
(a) Motor supporting structure (b) Step motor mounting and driving mechanism assembly.
(a) Motor supporting structure (b) Step motor mounting and driving mechanism assembly.Next, the paddle system is mounted (Fig. 11 and the chain drive mechanism is set (Fig. 12b). When both paddles are fixed the cover plate is attached to the compression block (Fig. 12c). Finally, the chain drive is lubricated (Fig. 12c) and the structure is placed vertically to attach the manual resuscitator supporting plate (Figs. 13b and c)
Once the compression mechanism has been assembled it is attached to the main chassis as depicted on Fig. 14a, the fan positioned in the back part of the upper cover plate is connected to the main board and the cover plate is latched to the main body completing the chassis structure (Fig. 14b). The ventilator circuit peripherals connections is presented at the end of the next section.
Fig. 14
(a) Ventilation connection to the main board (b) Upper cover back plate installation.
(a) Ventilation connection to the main board (b) Upper cover back plate installation.
Operation instructions
The Masi ventilator is designed as a backup for patient ventilation in case of requiring invasive or non-invasive mechanical ventilation when no other commercial equipment is available at the hospital facility, mainly in the ICU. In that sense, the use of Masi should be evaluated according to the specific needs of each patient.
Required hardware
Masi is designed to make use of a wide range of instrumentation available at ICU. The minimum requirements for its proper deployment are:Endotracheal (ET) tubes and tracheotomy tubesHMEF filter (Connecting the patient’s ET tube and Masi)Corrugated inspiration circuit tube.Compressed oxygen tank or compressed oxygen network.Before ventilating a new patient, the corrugated inspiration circuit tubes, ET and HMEF filters must be replaced by clinical standard.
Internal connections
To verify the internal ventilation circuit connections proceed as follows: With the unit disconnected, use the knob at the top to open the fan cover (Fig. 15). Verify the connection of the manual resuscitator to the reservoir of oxygen and the inspiration circuit (Fig. 16a). Verify that the manual resuscitator and its oxygen reservoir have no leaks. To do this, cover the fan’s inspiration output and press the resuscitator manual by hand, this must not deflate. Finally, verify the connection of the oxygen sensor (Fig. 16b).
(a) Service knob, (b) Chassis top opening.(a) MASI internal view (top), (b) Oxygen sensor connection.
External connections
First, connect the oxygen supply to MASI’s left side input (Fig. 17a). Then, connect the corrugated tube from the patient’s ventilation circuit at MASI’s right output (Fig. 17b).
(a) Oxygen input connection, (b) Oxygen output connection.Then proceed to connect the ventilation peripherals. First, connect the patient’s ventilatory circuit corrugated tube to the inspiration/expiration valve (Fig. 18a). Then, connect the flow sensor to the bottom connector of the inspiration/expiration valve with both the light blue and transparent hoses facing the ventilator (Fig. 18b). Subsequently connect the PEEP valve to the lateral inspiration/expiration valve connector (Fig. 18c).
Fig. 18
(a) Inspiration/expiration valve, (b) Flow sensor and (c) PEEP valve connections at the external ventilation block.
(a) Inspiration/expiration valve, (b) Flow sensor and (c) PEEP valve connections at the external ventilation block.Use the light blue and transparent hoses to close the flow sensor circuit at the right side of Masi by connecting them the upper intake and lower output respectively (Fig. 19a). Finally, connect the sensor output to the HMEF filter (Fig. 19b). After all the connections have been verified press the power button at the front face to turn on the device.
Fig. 19
(a) Paralel flux sensor circuit, (b) HMEF filter.
(a) Paralel flux sensor circuit, (b) HMEF filter.
User interface (UI)
After Masi has been powered up the GUI appears in the frontal screen. The UI contains the metrics panel and three action buttons assigned to the alarm settings, troubleshoot and start ventilation.The metrics panel is divided on three main sections which are highlighted by different colours in Fig. 20 in the following manner:
Fig. 20
Masi graphical interface.
The mode selection block is highlighted on white. It is automatically set on VC-CMV mode at boot (highlighted on yellow) and it can be switched to PC–CMV and PC–CSV on demand by the user. After selection, the colour of the tabs corresponding to other ventilation modes remain grey, indicating that they are not in use.The ventilation settings block is highlighted on purple. If the user does not configure them before starting ventilation, the default value are set and shown on the screen. To change the values shown the user must select/touch the desired parameter box and turn the selector knob until the desired value is obtained. This process can be repeated for all the other variables. The configurable parameters in each ventilation mode and their default values are shown in Table 2.
Table 2
Programable parameters: Default, minimum and maximum values.
Ventilation mode
Parameter
Units
Default Value
Range
Min
Max
General
Trigger
L/Min
5
5
10
FiO2
%
21
21
100
PEEP
cmH2O
0
0
20
VC-CMV
VT
ml
400
200
800
RPM
1/m
15
4
35
Ti
sec
1
0.7
7.5
PC-CMV
PC
cmH2O
15
5
35
RPM
1/min
15
4
35
Ti
sec
1
0.7
7.5
PC-CSV
PS
cmH2O
10
5
30
Cycle
%Vpeak
20
5
40
Tapnea
sec
15
2
20
The external settings block is highlighted on orange. These are not automatically controlled by the device and are only referential. The values should match the settings of the two peripherals connected to Masi (i.e, PEEP valve and FiO2 controller). It is necessary to mechanically regulate the level of the PEEP and the oxygen valve each time a new ventilation begins.Masi graphical interface.The alarm settings button is represented by a white and red bell icon located in the UI’s upper-left part and allows access to the alarm configuration screen (Fig. 21). Here, the user can review and modify the minimum and maximum values on the metered parameters that will trigger the alarm in case of threshold overflow. The setup of these values is similar to the ventilation setting procedure: select/touch the box containing the target parameter and turn the analog knob until the desired value is obtained. Table 3 summarizes the metered parameters and their default alarm values.
Fig. 21
Alarm configuration screen.
Table 3
Alarm settings: Default, minimum and maximum values.
Parameter
Units
Default value
Range
Min
Max
Pmin
cmH2O
10
0
60
Pmax
cmH2O
50
0
60
Vmin
L/min
100
50
800
Vmax
L/min
700
50
800
RPMmax
1/min
35
15
45
dPEEP
cmH2O
1
0
5
dFiO2
%
50
0
79
Alarm configuration screen.The troubleshooting button is located in the lower-left part of the GUI and it allows access to a screen where a technical report of the different units and sensors status is presented. This report serves as a quick self-diagnostic tool for the technical personnel.Finally, the start button (represented on green) is located in the lower-right part of the GUI and triggers the ventilation to the patient when tapped.
Controlling the ventilation
Set up the parameters for the selected ventilation mode (Table 2), use the knob for setting the desired values (Fig. 22a), then press ”START”. Set the alarms for pressure, volume, breathing rate, difference from PEEP and FiO2 difference, then press the green button on the screen (Fig. 21). Once ventilation has begun, manually define the value of PEEP using the valve (Fig. 22b), the user must register the selected value on ventilation mode settings screen. After selecting the desired FiO2 value in the ventilation mode settings, Masi estimates the optimal oxygen flow intake. Use the recommended value to mechanically set the oxygen flow in the tank/wall supply accordingly. To modify any ventilation parameter select it on the UI screen and use the rocker knob in the lower right (Fig. 22a) a) to adjust it to the desired values. To confirm, press the ”OK” button on green at the screen. Finally, to stop ventilation and turn off the equipment press the red stop button and tap ”STOP VENTILATION” at the screen. Press the power button on the front during for 5 s and disconnect the device.
Fig. 22
(a) Selection knob, (b) PEEP valve setting.
Programable parameters: Default, minimum and maximum values.Alarm settings: Default, minimum and maximum values.(a) Selection knob, (b) PEEP valve setting.
Validation and characterization
The device was designed to meet each of the requirements of the standards of the MHRA Technical Guide (2020). MHRA is a specification of the minimally clinically acceptable ventilator to be used in the initial care of patients requiring urgent ventilation in UK hospitals during the current COVID-19 pandemic caused by the SARSCoV-2 virus. A ventilator with lower specifications than this is likely to provide no clinical benefit and might lead to increased harm, which would be unacceptable for clinicians. The following tests will be divided in three sections: Electrical safety tests, Instrument control accuracy tests, Pressure limit tests:
Electrical safety tests
First, the current consumption (Table 4) is calculated for the operating states of temperature (Heating) and temperature decrease (Cooling).
Table 4
Current consumption measurement.
Operation state
Polarity
Measure (mA)
Mean (mA)
2
3
4
5
Stand-by
Direct
0.3
0.3
0.3
0.3
0.3
0.30
Inverse
0.3
0.3
0.3
0.3
0.3
0.30
On-line
Direct
0.6
0.7
0.6
0.6
0.7
0.64
Inverse
0.7
0.7
0.7
0.6
0.7
0.68
Current consumption measurement.In addition, the values corresponding to the ground impedance (Table 5) measured at the 4 sides of the chassis and the leakage current to ground (Table 6) proved to be lower than the maximum admissible values according to the IEC60601–1 standard (Peru).
Table 5
Ground resistance test
Measurement point
Maximum admissible values (mΩ)
Measurement (mΩ)
IEC 60601-1 Standard (Peru)
1
2
3
4
5
Average (mΩ)
Lateral face 1
100
97
96
98
96
99
97.2
Lateral face 2
100
88
96
92
97
94
93.4
Lateral face 3
100
90
93
94
98
97
94.4
Lateral face 4
100
87
98
91
97
96
93.8
Table 6
Measured leakage current to ground.
Test parameters
Maximum admissible values (uA)
Measurement (uA)
Mean (uA)
Polarity
Neutro
IEC 60601-1 standard (Perú)
1
2
3
4
5
Direct
Close
500
247
248
247
247
248
247.4
Open
500
487
489
488
489
490
488.6
Inverse
Close
500
243
244
244
244
244
243.8
Open
500
487
489
488
489
490
488.6
Ground resistance testMeasured leakage current to ground.
Instrument control accuracy tests
For the following set of tests the ventilator was connected to the gas supply as specified for normal use configuration. The ventilator output was endorsed by the peripheral breathing system to a test lung for adults with varying compliance and resistance with an electronic ventilator analyzer. A ventilator calibrator simultaneously measuring the flux and pressure at the ventilator’s output and the pressure in the lung. The derived average parameters from these measurements are reported in ATP conditions (ambient temperature and pressure) under a sensor data acquisition rate set at 100 samples per second during 30 respiratory cycles in the two following tables.The first draft was performed on volume controlled mode and the results are presented in Table 7. The test was performed for different volume, respiratory frequency, inspiration to expiration ratio (I:E) to a set positive end-expiratory pressure (PEEP) with the artificial lung calibrated to different combinations of Compliance and Resistance. The accuracy analysis on these values are presented in Table 8 (in absolute percentages). The results revealed a maximum mean error of 11.8% for the set values and 9.4% for the measured values.
Table 7
Volume controlled ventilation values.
Compliance on the test lung [ml/cmH2O]
Resistance [ml/cmH2O]
Volume [ml]
Respiratory frequency [rpm]
I:E
PEEP
Sample
Set (Masi)
Measured (Masi)
Mean (Calib.)
Set (Masi)
Mean (Calib.)
Measured (Masi)
Mean (Calib.)
Set (Masi)
Measured (Masi)
Mean (Calib.)
1
50
5
200
255
269.54
20
19.37
2.4
2.19
8
8.3
8.42
2
50
5
200
196
196.85
12
19.28
1.7
1.84
12
12.4
11.87
3
20
20
200
220
200.05
20
0.77
1.2
1.16
8
8.4
7.75
4
20
20
200
213
173.41
12
12.11
1.3
1.30
8
8.1
8.10
5
20
20
200
212
193.51
20
19.69
1.3
1.28
12
12.2
11.37
6
20
20
200
207
163.13
12
12.49
1.3
1.31
12
12.3
12.36
7
10
50
200
162
152.25
20
10.71
1.4
1.42
8
8.1
11.08
8
10
50
200
204
161.39
12
12.59
2.2
1.92
8
7.9
11.09
9
10
50
200
209
172.44
12
12.30
2.4
2.32
12
12.5
11.63
10
50
5
400
403
466.93
12
12.07
2.0
2.22
8
8.4
7.79
11
20
20
400
444
449.02
12
12.07
2.7
2.83
8
8.0
9.13
12
20
20
400
378
365.33
20
14.97
2.3
1.97
12
12.2
12.32
13
20
20
400
414
449.03
12
12.52
3.5
3.05
12
11.9
12.97
14
50
5
600
651
619.11
20
19.11
1.9
1.94
8
8.0
7.60
15
50
5
600
609
654.43
12
11.47
2.0
2.11
8
7.9
7.88
16
50
5
600
650
623.05
20
19.11
1.9
2.10
12
11.9
11.59
17
50
5
600
605
640.02
12
12.77
2.0
1.79
12
12.0
12.25
Table 8
Accuracy on measurements under volume controlled ventilation.
Accuracy on measurements (%)
Volumen
Respiratory frequency
I:E
PEEP
Sample
Set (Masi)
Measured (Masi)
Set (Masi)
Measured (Masi)
Set (Masi)
Measured (Masi)
MIN
0.0%
0.4%
0.6%
0.1%
1.1%
0.0
MAX
34.8%
21.2%
60.7%
14.5%
38.6%
40.4%
MEAN
11.8%
9.4%
10.5%
6.5%
8.1%
8.6%
Volume controlled ventilation values.Accuracy on measurements under volume controlled ventilation.The second draft was performed on pressure controlled mode and the results are presented in Table 9.. The test was performed for different PIP, respiratory frequency, inspiration to expiration ratio (I:E) to a set positive end-expiratory pressure (PEEP) with the artificial lung calibrated to different combinations of Compliance and Resistance. The accuracy analysis on these values are presented in Table 10 (in absolute percentages). The results revealed a maximum mean error of 9.6% for the set values and 8.3% for the measured values.
Table 9
Pressure controlled ventilation tests.
Compliance on the test lung [ml/cmH2O]
Resistance [ml/cmH2O]
PIP [cmH2O]
Respiratory frequency [rpm]
I:E
PEEP
Sample
Set (Masi)
Measured (Masi)
Mean (Calib.)
Set (Masi)
Mean (Calib.)
Set (Masi)
Measured (Masi)
Mean (Calib.)
Set (Masi)
Measured (Masi)
Mean (Calib.)
1
50
5
10
9
9.98
20
21.34
2.0
2.5
2.23
8
8.0
7.52
2
50
5
20
20
19.55
20
20.94
1.0
1.0
1.06
8
8.7
8.42
3
50
5
20
20
21.01
12
11.92
1.0
1.0
1.01
8
8.1
8.02
4
50
5
20
20
19.62
20
21.30
1.0
1.0
1.11
12
12.1
11.63
5
50
5
20
20
21.47
12
12.39
1.0
1.0
1.12
12
12.1
11.59
6
50
5
20
19
19.61
12
12.18
1.0
1.2
1.32
16
16.1
15.54
7
20
20
20
20
9.94
20
12.04
1.0
1.0
0.42
8
8.0
7.38
8
20
20
20
20
20.41
12
11.84
1.0
1.0
0.97
8
8.0
7.53
9
20
20
20
20
20.33
20
19.79
1.0
1.1
1.15
12
11.9
11.23
10
20
20
20
20
20.37
12
11.88
1.0
1.0
1.00
12
12.0
11.47
11
50
5
20
18
18.50
20
20.77
2.0
1.9
2.02
8
8.0
7.93
12
50
5
20
20
20.47
12
11.89
2.0
1.9
1.93
8
8.1
7.94
13
50
5
20
18
19.98
20
21.02
2.0
2.1
2.33
12
11.9
11.36
14
50
5
20
20
22.67
12
13.53
2.0
2.0
1.13
12
12.1
12.07
15
50
5
20
19
19.53
12
11.88
2.0
2.3
2.54
16
15.9
15.31
16
20
20
20
20
20.05
20
19.79
2.0
1.9
1.93
8
8.1
7.77
17
20
20
20
20
20.36
12
11.86
2.0
1.9
2.00
8
8.0
7.51
18
20
20
20
20
20.19
20
19.68
2.0
2.0
2.13
12
11.9
11.41
19
50
5
20
19
19.42
12
11.87
3.0
2.8
2.78
8
8.0
7.79
20
20
20
20
19
19.06
20
19.73
3.0
3.1
3.20
8
8.0
7.58
21
20
20
20
20
20.40
12
11.89
3.0
2.8
2.74
8
8.1
7.69
22
20
20
20
19
19.09
20
21.04
3.0
3.5
3.42
12
12.0
11.51
23
20
20
20
19
19.37
12
12.13
3.0
3.0
3.11
12
12.2
11.75
24
50
5
30
28
27.93
20
20.91
2.0
2.1
1.97
16
16.0
15.58
25
20
20
30
29
29.74
20
19.70
2.0
1.9
2.01
8
8.1
7.21
26
20
20
30
31
31.17
12
11.95
2.0
1.9
2.03
8
8.1
7.16
27
20
20
30
31
31.14
12
12.08
2.0
2.0
2.06
12
12.0
11.46
28
20
20
30
30
29.76
20
21.05
2.0
2.2
1.93
16
16.0
15.43
29
20
20
30
31
31.16
12
11.90
2.0
2.0
2.26
16
16.1
15.48
30
10
50
30
31
30.55
20
20.04
2.0
1.9
1.99
8
8.0
7.47
31
10
50
30
31
31.18
12
11.72
2.0
1.9
2.01
8
8.2
8.03
32
10
50
30
30
30.53
20
20.28
2.0
1.9
1.95
12
11.9
11.51
33
10
50
30
31
31.18
12
12.11
2.0
2.0
1.98
12
12.3
11.78
34
10
50
30
31
30.57
20
19.79
2.0
2.0
2.16
16
15.9
15.30
Table 10
Accuracy on measurements under pressure controlled ventilation
Accuracy of measurements (%)
Volume
Respiratory frequency
I:E
PEEP
Sample
Set (Masi)
Measured (Masi)
Set (Masi)
Set (Masi)
Measured (Masi)
Set (Masi)
Measured (Masi)
MIN
0.1%
0.2%
.2%
0.1%
0.1%
0.2%
0.3%
MAX
50.3%
50.3%
39.8%
57.9%
57.9%
10.5%
11.6%
MEAN
4.5%
4.1%
3.6%
9.6%
8.3%
4.0%
4.4%
Pressure controlled ventilation tests.Accuracy on measurements under pressure controlled ventilation
Pressure limit tests
In this test the peak pressure was recorded while tidal volume setting the fan between the range of 400 to 700 ml on steps of 50 ml. and fixed values of 10 cmH2O, 20 rpm, 1:2 for PEEP, breathing rate and I:E ratio respectively. The values are shown for two cases of compliance 50 and 10 ml/cm in Table 11.
Table 11
Peak pressure at different tidal volume setting
50 ml/cmH2O
10ml/cmH2O
Test
Tidal volume [ml]
Flux [L/min]
Peak pressure [cmH2O]
Peak pressure [cmH2O]
1
400
22
17.2
44.26
2
450
25
17.89
44.68
3
500
28
18.55
44.25
4
550
30
19.47
43.74
5
600
33
20.31
43.95
6
650
36
21.58
44.12
7
700
38
21.56
44.67
Peak pressure at different tidal volume setting
Discussion and conclusion
The Masi ventilator makes use of a widely available resuscitator to drive flow with a simple mechanical system controlled by a widely available stepper motor, controller and system-on-a-chip computer. In addition standard control of PEEP is provided with a disposable off-the-shelf valve. Electrical, Ventilation and Peak pressure parameters were evaluated using a lung simulator. Moreover, Masi counts with a set of programmed alarms that surpass MHRA recommended setups.Two important characteristics of Masi are its modularity (remaining as one of the most important added features to ventilators [21]) and telemetric capabilities. Mechanically each part of the mechanism can be replaced independently in case of malfunction without affecting its functionality. With regard to supplies; the sensors,valves,tubes and resuscitators could be replaced for similar models requiring minimal adaptations on hardware/firmware. Electronically it is divided in three blocks: user interface, power/control and telemetry, each of them as an independent logical system with its own controller and firmware. In addition its telemetric capabilities allows it to monitor the patient on real time, while ensuring the integrity and security of the data transmitted without incurring on any extra web service fee. Also, even when the device is designed to comply with high sterilization clinical standards other materials could be explored to implement the same hardware.We believe Masi can significantly help to reduce the current ventilator shortage and be adopted by the community to continuously evolve to provide more functionalities and improved performance. The future course of action for Masi is aligned with the inclusion of new ventilation modes, particularly Synchronized Intermittent Mandatory Ventilation (SIMV) and the addition of an air compression module to achieve an even more accurate control of pressure and volume.At the date of submission, 300 Masi units have been deployed to ICUs in our territory as the first locally designed and produced ventilators under the approval of DIGEMID (Peruvian regulatory authority), setting an important milestone on device manufacturing, leading to an initiative from PUCP and the Peruvian Institute of Technological Production to promote the fabrication of new medical devices and aiding our health professionals to save lives during the pandemic
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Hardware name
Masi (https://www.proyectomasi.pe/)
Subject area
• Medical
Hardware type
• Medical ventilator
Open source license
CERN OHL
Cost of hardware
Approximate cost of production: 1000 USD
Source file repository
https://doi.org/10.17632/kvx6syk42x.1
Design filename
File type
Open source license
Location of the file
control_avr_v15.sch
Schematic design file: It contains the electronic functional blocks and their connections
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
control_avr_v15.brd
PCB file: Component layout in the printed circuit board
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Design filename
File type
Open source license
Location of the file
Proyecto MASI - Blueprints
CAD design: blueprints for the chassis and support
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi3DModel.stl
3D model file: Mechanism model (for reference)
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Proyecto MASI - DXFs for laser cutting
DXFs model file: Pieces for construction
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Design filename
File type
Open source license
Location of the file
Masi-TELE.7z
Firmware: corresponding to the internet interface and telemetry capabilities and to be loaded in the ESP-WROOM
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi-Bat.7z
Firmware: corresponding exclusively to the battery module control and to be loaded in the ATMEGA48PB
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi-ControlFlash.7z
Firmware: corresponding to the main control block. To be loaded in the ATMEGA4809
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi-ControlEEPROM_S1.eep
Firmware: corresponding to the sensor calibration. To be loaded in the ATMEGA4809
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi-GUI.7z
Firmware: corresponding to the main user interface control. To be loaded in the ESP-WROOM
CERN OHL
https://doi.org/10.17632/kvx6syk42x.1
Masi-TELEboot.bin
Firmware: corresponding to the main control block. To be loaded in the STM32F103C8
Authors: Marti Pons-Òdena; Arnau Valls; Jordi Grifols; Ramon Farré; Francisco José Cambra Lasosa; Bruce K Rubin Journal: Paediatr Respir Rev Date: 2020-06-20 Impact factor: 2.726
Authors: Maryanne Melanie Gonzales Carazas; Cesar Miguel Gavidia; Roberto Davila Fernandez; Juan Alberto Vargas Zuñiga; Alberto Crespo Paiva; William Bocanegra; Joan Calderon; Evelyn Sanchez; Rosa Perales; Brandon Zeña; Juan Fernando Calcina Isique; Jaime Reategui; Benjamin Castañeda; Fanny L Casado Journal: PLoS One Date: 2022-03-03 Impact factor: 3.240