Contact-less measurement system for cardiopulmonary activity

Analog Integr Circ Sig Process

et al. 2018

Self Cite

This paper presents a microwave system for heartbeat rate measurement. This system is based on using a vector network analyzer and horn antennas. The system generates a continuous wave signal toward a person's chest then the reflected signal is analyzed. The phase difference between the emitted and the reflected signals contains information about the chest movement; hence, the heartbeat rate can be extracted. In this work, several scenarios for detecting the heart activity are considered. The first scenario aims to provide a comparative study for using single-antenna and two-antennas microwave systems. Several radiated powers are considered in this scenario. Simultaneously with the microwave system, a wireless electrocardiograph is used as reference in order to determine the accuracy of the system. Measurements are performed in both cases when breathing normally and when holding the breath. The second scenario aims to test the ability of detecting the heartbeat activity of a person while moving. Measurements are performed while the subject walks towards the radar. Modeling is used for this purpose. The operating frequency used is 20 GHz in both scenarios. Signals are processed using wavelet transform and results show the ability to extract the heartbeat rate even with the presence of body movement.

Section: Signal Processing Using Wavelet Decompositionmentioning

confidence: 99%

Heartbeat rate measurement using microwave systems: single-antenna, two-antennas, and modeling a moving person

Analog Integr Circ Sig Process

et al. 2018

Self Cite

“…Thus, an advanced signal processing technique is required in order to extract the heartbeat signal from the cardiopulmonary signal. According to the literature, several methods of signal processing show the ability of extracting the heartbeat signal from the measured cardiopulmonary signal such as classic filtering, fast Fourier transform (FFT) [9], short time Fourier transform (STFT) and wavelet transform. Classic filters are widely applied for the heartbeat extraction, but the variation of the heartbeat cannot be extracted due to the distortion obtained when applying classic filters.…”

Section: Processing Techniquesmentioning

confidence: 99%

“…On the other hand, several processing techniques are applied to isolate multiple subjects and clutter noise like blind source separation (BSS), passive RF tags [6] and curvelet transform [7]. Others are used to separate heartbeat from cardiorespiratory signals based on bandpass filters [8,9] continuous-wavelet filters and ensemble empirical mode decomposition (EEMD) [10] and LMS adaptive harmonic cancellation algorithm [11]. Previous studies have shown the ability of detecting the heartbeat activity from the front side of the patient only.…”

Section: Introductionmentioning

confidence: 99%

Remote Heartbeat Detection Using Microwave System from Four Positions of a Normally Breathing Patient

et al. 2016

IRECAP

Self Cite

This paper presents a microwave system for the detection of the cardiopulmonary activity. Measurements are performed at different operational frequencies and from different sides of a healthy subject who is breathing normally while sitting at 1 meter from the system. Simultaneously with the microwave system, a PC-based electrocardiograph is used in order to validate the heartbeat rate detection. Cardiopulmonary signals are processed using wavelet transforms in order to extract the heartbeat signal. The obtained results upon using the proposed system show the ability of detecting the cardiopulmonary signals at four sides of the subject, and the signal processing techniques show high accuracy in extracting the heartbeat signal and the heartbeat rate.

“…The Doppler radar first captures the chest motion. Then the human heartbeat and respiration rates are identified by signal processing techniques [4].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of heartbeat detection behind a wall using CW Doppler radar

2016 IEEE Middle East Conference on Antennas and Propagation (MECAP)

et al. 2016

Self Cite

This paper presents a wireless measurement system for cardiopulmonary activity detection behind a wall. This system generates a continuous wave signal and is used at 2 different frequencies: 2.4 GHz and 10 GHz. The transmitted signal is directed toward the patient's chest situated at 1 m and then reflected. The radar system is based on a vector network analyzer, which measures the phase of S 21. The phase variation of S 21 contains information about heart and respiration activity. Measurements are carried out every 30 seconds, for a person sitting at a distance of 1 meter, directly in front of the system or behind a wall. Discrete wavelet transform is used as a processing technique to separate heartbeat signal from respiratory signal. The measurements were performed simultaneously with a PCbased electrocardiogram (ECG) which is used as a reference to validate the information extracted from the measured signals.