Literature DB >> 32088910

Clinical evaluation of stretchable and wearable inkjet-printed strain gauge sensor for respiratory rate monitoring at different measurements locations.

Ala'aldeen Al-Halhouli1,2,3, Loiy Al-Ghussain4,5, Saleem El Bouri4, Haipeng Liu6,7, Dingchang Zheng7.   

Abstract

The respiration rate (RR) is a vital sign in physiological measurement and clinical diagnosis. RR can be measured using stretchable and wearable strain gauge sensors which detect the respiratory movements in the abdomen or thorax areas caused by volumetric changes. In different body locations, the accuracy of RR detection might differ due to different respiratory movement amplitudes. Few studies have quantitatively investigated the effect of the measurement location on the accuracy of new sensors in RR detection. Using a stretchable and wearable inkjet-printed strain gauge (IPSG) sensor, RR was measured from five body locations (umbilicus, upper abdomen, xiphoid process, upper thorax, and diagonal) on 30 healthy test subjects while sitting on an armless chair. At each location, reference RR was simultaneously detected by the e-Health sensor, and the measurement was repeated twice. Subjects were asked about the comfortableness of locations. Based on Levene's test, ANOVA was performed to investigate if there is a significant difference in RR between sensors, measurement locations, and two repeated measurements. Bland-Altman analysis was applied to the RR measurements at different locations. The effects of measurement site and measurement trials on RR difference between sensors were also investigated. There was no significant difference between IPSG and reference sensors, between any locations, and between the two measurements (all p > 0.05). As to the RR deviation between IPSG and reference sensors, there was no significant difference between any locations, or between two measurements (all p > 0.05). All the 30 subjects agreed that diagonal and upper thorax positions were the most uncomfortable and most comfortable locations for measurement, respectively. The IPSG sensor could accurately detect RR at five different locations with good repeatability. Upper thorax was the most comfortable location.

Entities:  

Keywords:  Clinical evaluation; Inkjet printing; PDMS; Respiratory rate; Wearable sensors

Year:  2020        PMID: 32088910     DOI: 10.1007/s10877-020-00481-3

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  15 in total

1.  Clinical evaluation of a novel respiratory rate monitor.

Authors:  Peter J Lee
Journal:  J Clin Monit Comput       Date:  2015-04-22       Impact factor: 2.502

Review 2.  Recent development of respiratory rate measurement technologies.

Authors:  Haipeng Liu; John Allen; Dingchang Zheng; Fei Chen
Journal:  Physiol Meas       Date:  2019-08-02       Impact factor: 2.833

3.  Accurate respiratory rates count: So should you!

Authors:  Tracy Flenady; Trudy Dwyer; Judith Applegarth
Journal:  Australas Emerg Nurs J       Date:  2017-01-07

4.  Respiratory Inductance Plethysmography Improved Diagnostic Sensitivity and Specificity of Obstructive Sleep Apnea.

Authors:  Dmitriy Kogan; Arad Jain; Shawn Kimbro; Guillermo Gutierrez; Vivek Jain
Journal:  Respir Care       Date:  2016-04-19       Impact factor: 2.258

5.  Special article: evaluation of a novel noninvasive respiration monitor providing continuous measurement of minute ventilation in ambulatory subjects in a variety of clinical scenarios.

Authors:  Christopher Voscopoulos; Jordan Brayanov; Diane Ladd; Michael Lalli; Alexander Panasyuk; Jenny Freeman
Journal:  Anesth Analg       Date:  2013-06-03       Impact factor: 5.108

6.  Flexible and Stretchable Physical Sensor Integrated Platforms for Wearable Human-Activity Monitoringand Personal Healthcare.

Authors:  Tran Quang Trung; Nae-Eung Lee
Journal:  Adv Mater       Date:  2016-02-03       Impact factor: 30.849

7.  Detecting specific health-related events using an integrated sensor system for vital sign monitoring.

Authors:  Mourad Adnane; Zhongwei Jiang; Samjin Choi; Hoyoung Jang
Journal:  Sensors (Basel)       Date:  2009-09-01       Impact factor: 3.576

8.  The application of a piezo-resistive cardiorespiratory sensor system in an automobile safety belt.

Authors:  Syed Talha Ali Hamdani; Anura Fernando
Journal:  Sensors (Basel)       Date:  2015-03-30       Impact factor: 3.576

9.  Reliability and validity of measuring respiration movement using a wearable strain sensor in healthy subjects.

Authors:  Haijuan Liu; Shaopeng Guo; Kaipei Zheng; Xiaojun Guo; Tsugumi Kuramoto-Ahuja; Tamae Sato; Ko Onoda; Hitoshi Maruyama
Journal:  J Phys Ther Sci       Date:  2017-09-15

10.  Respiration rate and volume measurements using wearable strain sensors.

Authors:  Michael Chu; Thao Nguyen; Vaibhav Pandey; Yongxiao Zhou; Hoang N Pham; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Ramesh Jain; Dan M Cooper; Michelle Khine
Journal:  NPJ Digit Med       Date:  2019-02-13
View more
  5 in total

Review 1.  Biomechanics of the Upper Limbs: A Review in the Sports Combat Ambit Highlighting Wearable Sensors.

Authors:  Andrés Blanco Ortega; Jhonatan Isidro Godoy; Dariusz Slawomir Szwedowicz Wasik; Eladio Martínez Rayón; Claudia Cortés García; Héctor Ramón Azcaray Rivera; Fabio Abel Gómez Becerra
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

2.  Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications.

Authors:  Talha Iqbal; Adnan Elahi; Sandra Ganly; William Wijns; Atif Shahzad
Journal:  J Med Biol Eng       Date:  2022-04-07       Impact factor: 2.213

3.  Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown.

Authors:  L Jani Anbarasi; Malathy Jawahar; Vinayakumar Ravi; Sherin Miriam Cherian; S Shreenidhi; H Sharen
Journal:  Health Technol (Berl)       Date:  2022-05-30

Review 4.  Monitoring Symptoms of Infectious Diseases: Perspectives for Printed Wearable Sensors.

Authors:  Ala'aldeen Al-Halhouli; Ahmed Albagdady; Ja'far Alawadi; Mahmoud Abu Abeeleh
Journal:  Micromachines (Basel)       Date:  2021-05-27       Impact factor: 2.891

5.  Influences of Sensor Placement Site and Subject Posture on Measurement of Respiratory Frequency Using Triaxial Accelerometers.

Authors:  Stephen Hughes; Haipeng Liu; Dingchang Zheng
Journal:  Front Physiol       Date:  2020-07-09       Impact factor: 4.566

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.