| Literature DB >> 32630376 |
Ivana Čuljak1, Željka Lučev Vasić1, Hrvoje Mihaldinec1, Hrvoje Džapo1.
Abstract
In recent years there has been an increasing need for miniature, low-cost, commercially accessible, and user-friendly sensor solutions for wireless body area networks (WBAN), which has led to the adoption of new physical communication interfaces providing distinctive advantages over traditional wireless technologies. Ultra-wideband (UWB) and intrabody communication (IBC) have been the subject of intensive research in recent years due to their promising characteristics as means for short-range, low-power, and low-data-rate wireless interfaces for interconnection of various sensors and devices placed on, inside, or in the close vicinity of the human body. The need for safe and standardized solutions has resulted in the development of two relevant standards, IEEE 802.15.4 (for UWB) and IEEE 802.15.6 (for UWB and IBC), respectively. This paper presents an in-depth overview of recent studies and advances in the field of application of UWB and IBC technologies for wireless body sensor communication systems.Entities:
Keywords: human motion tracking; implanted sensors; intrabody communication; ultra-wideband communication; vital signs monitoring; wearable systems; wireless body area networks; wireless body sensors
Mesh:
Year: 2020 PMID: 32630376 PMCID: PMC7349302 DOI: 10.3390/s20123587
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Wireless sensor network (WSN) topology of ultra-wideband (UWB) and intrabody communication (IBC) wireless body area network (WBAN).
Figure 2Impulse radio ultra-wideband (IR-UWB) signals in the time domain.
Figure 3Multiple signal propagation in conditions of multiple reflections and scattering: (a) direct and specular reflective multipath components (MPC) components, (b) single MPC component generated by scattering, (c) overall MPC signal components on the receiver (RX); Tx—transmitter, R1, R2—reflectors, D1, D2—diffusors, —time.
Figure 4Relative permittivity Ɛ (a) and conductivity σ (b) through the five tissue layers for the four UWB communication channels with the 3.4944 GHz, 3.9936 GHz, 4.4928 GHz and 6.4896 GHz center frequency with the bandwidth 500 MHz.
Summary of UWB vital signs monitoring application reported in the literature.
| 1st Author | Ref | Parameter | Method | UWB System | Application Scenario | Accuracy |
|---|---|---|---|---|---|---|
| Nguyen, 2014 | [ | HR, RR | SHAPA algorithm | IR-UWB radar | Eight subjects, lying on the top of a mattress | Practical for a real-time system |
| Brovoll, 2014 | [ | Human Heart Motion | Time-lapse imaging | Switched Array UWB r. | Antenna was aligned with the body | The subject was holding his breath |
| Hu, 2016 | [ | HR, RR | EEMD;CWT | IR-UWB radar | Sitting in a chair and breathing regularly | SNR of RR and HR improved by 7.59 dB and 4.82 dB |
| Ren, 2016 | [ | HR | Phase-Based | UWB Impulse Doppler r. | Subject sat still in front of the radar system | CSD and AD heart rate deviation is 2.6% and operating rate is 0.8 m |
| Yin, 2016 | [ | HR | Cascade CNN | NVA-R661 IR-UWB radar module | HR analysis by combination of the ECG and radar | Results accuracy of 88.89% in the slight motion state |
| Shy, 2018 | [ | HR, RR | FVPIEF based 2-Layer EEMD | UWB radar | Simultaneously analysis of RR and HR | Relatively accurately |
| Shen,2018 | [ | HR, RR Subject location | Autocorr. | PulsOn410 UWB radar | Vital signs monitoring | Potential implemention in integrated circuits and embedded systems |
| Yim, 2019 | [ | HR | CFAR algorithm | XK300-MVI radar | Clinical application | Quantified index to clinically record |
| Kim, 2019 | [ | RR | 1D CNN model | UWB radar | Eupnea, bradypnea, tachypnea, apnea, and motion classification | Average recognition rate of respiration patterns 93.9% |
Comparison of ultra-wideband communication systems in WBAN reported in literature.
| 1st Author | Ref | Application | System | Frequency Band | Data Rate | Features |
|---|---|---|---|---|---|---|
| Garcia-Pardo, 2016 | [ | UWB path loss models and channel measurements for IB2OB and IB2OFF communication scenarios | Two UWB omnidirectional patch antennas | 3.1–8.5 GHz | 20001 frequency points | Practical estimation of UWB transmissions path loss from wireless devices implanted in the abdominal cavity to an external unit |
| Kjelgård, 2017 | [ | Heart Wall Velocity Sensing | Body coupled antennas, RF-amplifiers, core radar processor (Novelda X2) | Center freq. 4 GHz | >35 GS/s | Good correlation with tissue doppler ultrasound and microwave radar |
| Leelatien, 2018 | [ | Wireless monitoring of transplanted organs (liver) | A low-profile tapered UWB antenna with vertical polarization | 4.5–6.5 GHz | 10 Mb/s | Attenuation variation 30 dB (with respect to 40 mm largest organ movement distance) due to respiration-induced organ movement |
| Schires, 2018 | [ | Through the back vital signs monitoring | UWB Novelda Xethru X2 chip with body coupled antennas | 3.8–9 GHz | 65 frames per second | High accuracy of back monitoring of vital sign using a pulsed radar mounted into a car seat |
| Zhang, 2018 | [ | Vital signs radar sensing and short-range communication and | CMOS IR – UWB radar and communication interface | BW = 5.6 | 10 Mb/s | Power consumption 6.4 mW and sensitivity −64 dBm at 10 Mb/s |
| Perez-Simbor, 2019 | [ | Wireless capsule endoscopy | Quasi-omnidirectional antenna | 3.1–8.5 GHz (phantom) | Resolution point:3201 | Study of the path loss using simulations, phantoms, and in-vivo measurements |
| Han, 2019 | [ | In-body to on-body links | HBC-UWB signals | 10–50 MHz | Combination of HBC and UWB band signal, better high data rate | |
| Lauteslager, 2019 | [ | Measurement of Cardiovascular Dynamics | UWB Xethru X2 single-chip radar in combination with body coupled antennas | BW = 2.5 GHz | 64 frames per second | High accuracy |
| Särestöniemi, 2019 | [ | Human abdomen area UWB on-body radio channel characteristics | UWB on body antenna (measurements conducted in an anechoic chamber) | 3.75–4.25 GHz | If the antenna separation distance is large on-body channel characteristics vary significantly depending on the body size and shape | |
| Fang, 2019 | [ | Channel modeling inside a UWB liquid phantom for wireless capsule endoscopy | Planar elliptical ring implanted IB antenna | 3.1–5.1 GHz | Frequency point 1601 | Proposed models confirm the agreement with the radiation |
| Song, 2019 | [ | Breast tumors detection | CMOS-IC portable IR-UWB-radar | 0.5–20 GHz | 100 G Sample/s | Results: IR-UWB radar-based detector has a potential for early-stage breast cancers detection |
| Kumpuniemi, | [ | Dynamic off-body on UWB frequencies radio channels measurements | Two planar prototype (dipole and double loop) antennas | 2–8 GHz | 1601 points in the band | Mean path losses varied between 47.6–69.4 dB |
| Särestöniemi, | [ | UWB radio channel characteristics study between a capsule endoscope and a directive on-body antenna in different parts of the small intestine | In-body omnidirectional dipole antenna (capsule model) from [ | In-body antenna 4 GHz | Radio channel characteristics varied significantly depending on the capsule model and on-body antennas location |