Monitoring vital signs using millimeter wave

Yang, Zhicheng; Pathak, Parth H.; Zeng, Yunze; Liran, Xixi; Mohapatra, Prasant

doi:10.1145/2942358.2942381

Cited by 140 publications

(55 citation statements)

References 18 publications

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“…Studies using Doppler Radio [30], FMCW [2,14,47], millimeter waves [43,9], and WiFi signals [42,20] all demonstrate accurate monitoring of a single person's breathing. Respiration monitoring using radio signal is also closely related to monitoring breathing using acoustic signals, which tends to use FMCW techniques and demonstrates good accuracy for a single person [25,40].…”

Section: Rf-based Sensingmentioning

confidence: 99%

“…To avoid this problem, much of the past work assumes a single person in the environment [46,1,47]. Papers that show results for multiple users require people to have a minimum separation of 1.5 to 2 meters [2,14,43]. Having a minimum separation between subjects reduces the mixing between the RF signals reflected off their bodies, and allows the receiver to zoom in on each individual using techniques like FMCW and antenna arrays.…”

Section: Rf-based Sensingmentioning

confidence: 99%

See 1 more Smart Citation

Extracting Multi-Person Respiration from Entangled RF Signals

Yue

Wang

et al. 2018

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

150

104

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Recent advances in wireless systems have demonstrated the possibility of tracking a person's respiration using the RF signals that bounce off her body. The resulting breathing signal can be used to infer the person's sleep quality and stages; it also allows for monitoring sleep apnea and other sleep disordered breathing; all without any body contact. Unfortunately however past work fails when people are close to each other, e.g., a couple sharing the same bed. In this case, the breathing signals of nearby individuals interfere with each other and super-impose in the received signal.This thesis presents DeepSleep, the first RF-based respiration monitoring system that can recover the breathing signals of multiple individuals even when they are separated by zero distance. To design DeepSleep, we model interference due to multiple reflected RF signals and demonstrate that the original breathing can be recovered via independent component analysis. We design a full system that eliminates interference and recovers the original breathing signals. We empirically evaluate DeepSleep using 21 nights of sleep and over 150 hours of data from 13 couples who share the bed. Our results show that DeepSleep is very accurate. Specifically, the differences between the breathing signals it recovers and the ground truth are on par with the difference between the same breathing signal measured at the person's chest and belly. Then, I would like to thank my collaborator Hao He. Hao and I have an enjoyable collaboration during this study. We have discussed every corner of our system and spent countless hours together improving its performance.

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Section: Rf-based Sensingmentioning

confidence: 99%

Section: Rf-based Sensingmentioning

confidence: 99%

Extracting Multi-Person Respiration from Entangled RF Signals

Yue

Wang

et al. 2018

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

150

104

View full text Add to dashboard Cite

show abstract

“…The RF-based motion tracking approach exploits the effects of a moving object/person on a received RF signal. The usefulness of this technique has been demonstrated by the Emerald [21], the mmVital [22], and the WiGait [23] devices. Interest in radar-based in-home activity tracking has also been growing due to its proven technology and safety [24].…”

Section: Introductionmentioning

confidence: 99%

“…Interest in radar-based in-home activity tracking has also been growing due to its proven technology and safety [24]. As pointed out in [22], [25], and [24], RF-based approaches face several challenges, including their sensitivity to the rich scattering structure of indoor environments, i.e., fixed scatterers resulting from walls and furniture, and the TV direction of motion of the moving users.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal

Hicheri

Pätzold

Youssef

2018

2018 IEEE 10th Latin-American Conference on Communications (LATINCOM)

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Accurate estimation of the time-variant (TV) velocity, i.e., TV speed and TV direction of motion, of walking persons in indoor environment is of great importance in a variety of wireless indoor applications. This paper presents a novel method for estimating the velocity of a walking person in three-dimensional indoor environments, which are assumed to be equipped with a distributed 3 × 3 multiple-input multipleoutput (MIMO) system. The approach estimates the TV speed, TV vertical angle-of-motion (VAOM), and TV horizontal angleof-motion (HAOM) by fitting the spectrogram of the complex channel gain of a non-stationary indoor channel model to the spectrogram obtained from the received radio signals. The validity of the estimation algorithm has been confirmed by comparing the estimated parameters of interest with their corresponding exact values, known from generated test signals.

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“…The use of array antenna is made to minimise the interferences of the reflected signals from the side Fig. 1 Structures of the designed antenna arrays with (a) 2 × 1, (b) 3 × 2 and (c) 6 × 2 patch elements objects because the array antennas have narrower radiation beamwidths than the single patch antenna [36]. Suitability of 60 GHz band for RVSM has been studied under the Doppler radar principle.…”

Section: Introductionmentioning

confidence: 99%

Ultra-Wide Patch Antenna Array Design at 60 GHz Band for Remote Vital Sign Monitoring with Doppler Radar Principle

Rabbani

Ghafouri‐Shiraz

2016

J Infrared Milli Terahz Waves

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In this paper, ultra-wide patch antenna arrays have been presented at 60 GHz band (57.24-65.88 GHz) with improved gain and beam-width capabilities for remote detection of respiration and heart beat rate of a person with Doppler radar principle. The antennas measured and simulation results showed close agreement. The breathing rate (BR) and heart rate (HR) of a 31-year-old man have been accurately detected from various distances ranging from 5 to 200 cm with both single-antenna and dual-antenna operations. In the case of single-antenna operation, the signal is transmitted and received with the same antenna, whereas in dualantenna operation, two identical antennas are employed, one for signal transmission and the other for reception. It has been found that in case of the single-antenna operation, the accuracy of the remote vital sign monitoring (RVSM) is good for short distance; however, in the case of the dual-antenna operations, the RVSM can be accurately carried out at relatively much longer distance. On the other hand, it has also been seen that the visual results are more obvious with higher gain antennas when the radar beam is confined just on the subject's body area.

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Monitoring vital signs using millimeter wave

Cited by 140 publications

References 18 publications

Extracting Multi-Person Respiration from Entangled RF Signals

Extracting Multi-Person Respiration from Entangled RF Signals

Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal

Ultra-Wide Patch Antenna Array Design at 60 GHz Band for Remote Vital Sign Monitoring with Doppler Radar Principle

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