A wireless microwave sensor for remote monitoring of heart and respiration activity

Sadek, Sawsan; Ghattas, Lama; Fawaz, Lama

doi:10.1109/mmw.2010.5605157

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…The reflected waveform is then received, demodulated, and processed to obtain the breathing and heart rates as discussed in the literature. Based on the results obtained from the following different approaches, 28,31,33,34 it can be easily identified that the heart and breathing rates can be obtained within percentage accuracy of around 90-95% under motionless testing conditions. However, the proposed approaches face several challenges during the detection process such as null point detection, signal deterioration at local oscillators, random body motions, and harmonic frequencies that make it difficult to separate the heart signal from the respiration signal, human detection behind the walls and multiple target heart rate detection.…”

Section: Qualitative Evaluationmentioning

confidence: 99%

“…Sadek et al 33 designed a new non-contact microwave sensor system operating at 9 GHz for heart and respiration rate estimations. The proposed system comprises two parts; the hardware part is made of a Doppler radar, made of an oscillator with 0 dBm of power emitted, an isolator, a circulator, a Schottky diode mixer and a horn antenna with a 15 dB gain and a digital multi meter (DMM), whereas the software part uses LabView for signal acquisition and two band pass Chebeychev filters are used to separate heart and respiration information.…”

Section: Contactless Vital Sign Monitoring Systemsmentioning

confidence: 99%

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Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in internet of things and sleep applications

Raheel,

Tubbal,

Raad

et al. 2024

Sens. Diagn.

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Section: Qualitative Evaluationmentioning

confidence: 99%

Section: Contactless Vital Sign Monitoring Systemsmentioning

confidence: 99%

Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in internet of things and sleep applications

Raheel,

Tubbal,

Raad

et al. 2024

Sens. Diagn.

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“…. Microwave Doppler sensor -the changes of the phase of the microwave signal is proportional to chest motion (Sadek et al, 2010).…”

Section: Respiration State Monitoringmentioning

confidence: 99%

Intensity‐modulated fiber optic sensor for health monitoring applications: a comparative review

2013

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Purpose -The purpose of this paper is to provide a comparative review of intensity-modulated fiber optic sensors with non-optical sensors for health monitoring applications, from the current research activities in the area. Design/methodology/approach -A range of published research work in sensor design for four different health monitoring applications, including, lumbar spine bending, upper and lower limb motion tracking, respiration and heart rate monitoring, are presented and discussed in terms of their respective advantages and limitations. Findings -This paper provides information on the various types of sensors applied into the health monitoring area. The sensing techniques of the fiber optic sensor for the stated applications are focused and compared in details to highlight their contributions. Originality/value -A comparative review of published work is illustrated in an informative table content, to allow a clear idea of the current sensing approaches for health monitoring applications.

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“…Order 4 Chebychev band-pass filter is applied between 0.5 and 1.5 Hz to finally detect the heartbeat signal. The detection is done in real time [5], [6]. Another system consists of a microwave source, a directional coupler, a pump, a mixer, a filter, a digital signal processing card PCMCIA having a 12-bit A/D converter and two separate pairs of patch antennas for transmit and receive functions [7].…”

Section: Introductionmentioning

confidence: 99%

Contact-less measurement system for cardiopulmonary activity

El-Samad

Obeid²,

Sadek³

et al. 2014

Proceedings of 2014 Mediterranean Microwave Symposium (MMS2014)

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This paper presents a wireless cardiopulmonary activity measurement system. This system generates a continuous wave toward a person's chest set at a distance of 1 m, then reflected to the system. Using a vector network analyzer, the phase of S21 is computed. The phase variation of S21 contains information about cardiopulmonary activity. Several processing techniques are used to separate heartbeat signal from cardiorespiratory signal either in frequency or in temporal domain. The measurements were performed simultaneously with a PC-based electrocardiogram to validate the heartbeat rate detection techniques. In conclusion, processing techniques used in this paper give accurate results.

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A wireless microwave sensor for remote monitoring of heart and respiration activity

Cited by 6 publications

References 6 publications

Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in internet of things and sleep applications

Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in internet of things and sleep applications

Intensity‐modulated fiber optic sensor for health monitoring applications: a comparative review

Contact-less measurement system for cardiopulmonary activity

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