An Electromagnetic Model of Human Vital Signs Detection and Its Experimental Validation

Nahar, Sabikun; Phan, Tuan; Quaiyum, Farhan; Ren, Lingyun; Fathy, Aly E.; Kıłıc, Özlem

doi:10.1109/jetcas.2018.2811339

Cited by 39 publications

(17 citation statements)

References 30 publications

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“…The research on the applicability of UWB-based technologies in healthcare can be divided into several approaches, depending on the monitored parameters. The most frequent application of UWB technology is vital signs monitoring, i.e., respiration rate (RR) and heart rate (HR) [ 12 , 19 , 25 , 78 , 79 , 82 , 101 ]. The most recent research focus on wireless in-body to on-body UWB communication, i.e., capsule endoscopy and tumor detection [ 28 , 29 , 30 , 31 , 88 , 89 ].…”

Section: State Of the Art: Emerging Technologies For The Wbs Applimentioning

confidence: 99%

Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges

Čuljak

Vasić

Mihaldinec

et al. 2020

Sensors

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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.

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Section: State Of the Art: Emerging Technologies For The Wbs Applimentioning

confidence: 99%

Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges

Čuljak

Vasić

Mihaldinec

et al. 2020

Sensors

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“…The heartbeat signal is complicated and nearly periodic. Almost all simulations to date are based on assuming the chest wall motion due to cardiac activity as sinusoidal [ 15 , 16 , 17 , 18 ], while Morgan et al’s [ 19 ] model is based on heart functioning. A short impulsive action is initiated during the systolic phase when the heart ventricles start emptying.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems

Singh

Rehman

Yongchareon

et al. 2020

Sensors

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Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model that simulates a chest wall motion due to cardiorespiratory activity. Chest wall motion due to respiration is simulated based on the optimal chemical–mechanical respiratory control-based mechanics. The theory of relaxation oscillation system is applied to model the motion due to cardiac activity. The proposed mathematical chest wall model can be utilized in designing and optimizing different design parameters for radar-based non-contact vital sign (NCVS) systems.

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“…One simple solution to distinguish between two subjects in the same direction is the use of a wide bandwidth for improved range resolution [24]- [26]. Peng et al extracted the vital signs of two subjects spaced 20 cm apart by using a frequency bandwidth of 1 GHz (range resolution 15 cm) [24]. Furthermore, a super resolution algorithm was proposed for multiple subjects [27].…”

Section: Introductionmentioning

confidence: 99%

A Resolution Enhancement Technique for Remote Monitoring of the Vital Signs of Multiple Subjects Using a 24 Ghz Bandwidth-Limited FMCW Radar

et al. 2020

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This study proposes a novel signal processing method for detecting the vital signs of multiple adjacent subjects using a 24 GHz frequency modulated continuous wave Doppler radar. Radar-based vital signs sensors have attracted significant attention because of their contactless and unobtrusive mode of measurement. However, limited-bandwidth, fixed-beam systems have been restricted to single subjects because a high resolution is required to detect the vital signs of multiple adjacent subjects. As the range resolution is determined by the frequency bandwidth, a novel method is proposed that doubles the effective frequency bandwidth by using a modified waveform. The proposed method can distinguish between two subjects sitting 40 cm apart, overcoming the 60 cm Rayleigh resolution for a frequency bandwidth of 250 MHz. The computational complexity of the proposed method is considerably low when compared with high-resolution algorithms such as the multiple signal classification algorithm. Furthermore, the method easily suppresses stationary clutter by using phase deviation. To validate the performance of the proposed method, experiments were conducted with two subjects lying side by side on a bed. The results indicate the excellent performance, with enhanced range and high detection accuracy. This method has many potential applications, including monitoring infants and sleep apnea patients.

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An Electromagnetic Model of Human Vital Signs Detection and Its Experimental Validation

Cited by 39 publications

References 30 publications

Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges

Wireless Body Sensor Communication Systems Based on UWB and IBC Technologies: State-of-the-Art and Open Challenges

Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems

A Resolution Enhancement Technique for Remote Monitoring of the Vital Signs of Multiple Subjects Using a 24 Ghz Bandwidth-Limited FMCW Radar

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