Comparison between single and two-antenna VNA system used for heartbeat rate extraction (original) (raw)
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Analog Integrated Circuits and Signal Processing
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.
Remote Monitoring of Heart and Respiration Rate Using a Wireless Microwave Sensor
Our research project consists of developing a wireless microwave sensor for remote sensing of heart and respiration activity, and then process the received signal in order to separate the respiratory from the heart response. The purpose of this paper is to develop a signal processing algorithm in order to separate the tow signal response from heart and respiration and then calculate the heart and respiration rates in order to transmit them via wireless network to the physician or to the hospital. A real set of data were acquired using a 2.4 GHz radar Doppler sensor. Two data set were acquired one is with respiration and another without respiration at different level of signal power starting from 3dB down to -27dB. The heart signal is very small comparing to the respiratory one in real time signal the separation seems to be very difficult using classical low pass and high pass filter analysis especially for the heart beat in a signal with respiration. Using wavelet toolboxes for sign...
Advanced Signal Processing Techniques for Microwave Cardiopulmonary Signals Separation
2016
This paper presents different signal processing techniques used in separating cardiopulmonary signals measured using a microwave Doppler radar. For different sides from the person under test, the microwave system is tested for several operational frequencies simultaneously with a PC-based electrocardiograph. Wavelet transforms are used in order to separate heartbeat signal from the cardiopulmonary signals. High accuracy is obtained in terms of heartbeat rate for the whole measurements.
Low power microwave systems for heartbeat rate detection at 2.4, 5.8, 10 and 16 GHz
2008
This paper demonstrates the possibility of detecting heartbeats using a vector network analyzer and two antennas. Using the same system, a comparative study is made by using different frequencies with different power levels for each frequency. In an anechoic chamber, measurements were taken at 2.4, 5.8, 10 and 16GHz. This work proves the ability to accurately detect heart activity and extracting heartbeat rates with low power such as -30 dBm.
2010
This work proposes a contactless multitunable microwave measurement scheme for heartbeat detection. Our system is based on simplicity and the ability of tuning two parameters: frequency and power. Measurements are performed at 2.4, 5.8, 10, 16, and 60 GHz. Operating at 2.4 GHz, the heartbeat signal is detected at different output power levels (from À2 down to À27 dBm). The heart rate variability is extracted for all the measurements.
Cardiac and respiratory monitoring through non-invasive and contactless radar technique
2008 Computers in Cardiology, 2008
The aim of this study was the evaluation of a microwave (MW) device for vital signs monitoring of patients and for MW signal characterization in terms of physiological content and meaning. Experimental tests were executed on volunteers in selected and controlled conditions and with different device setting. In each test session the MW signal was digitally acquired and saved together with true physiological signals coming from standard medical instrumentation. Single and multichannel data processing were applied in order to extract characteristic features from each signal and to identify any significant correlation. The results show the ability of the method to obtain precise indications on small physiological movements such as breathing or heartbeat; the received MW signal seems to offer specific information about the mechanical dynamics of the cardiac system. With our configuration settings, main limitations of this approach come from its low capacity to penetrate deeply into the body and to the poor spatial resolution.
Non-Contact Heart Rate Measurement Using UWB Antenna
2020
Presently the beat rate of the heart is measured with the help of these devices such as ECG, Pulse oximetery etc, that uses electrodes which are in straight towards the body. In healthcare and medical applications, infants at risk, sudden infant syndrome or burn victims in which the electrodes are employed to compute cardiopulmonary signal becomes impossible, In such situations the contactless monitoring plays a vital role. The use of an UWB antenna plays as a noninvasive monitoring system for the cardiopulmonary activity of the human being, since the little movements are observed because of the microwave sensitivity. Thus by receiving the signal which is reflected from antenna, then it is processed to find the rate of the heart. From the processed signal, the rate of the heart is computed with the help of the algorithm called Peak Detection. The rate of the heart is computed by finding the variation of the adjacent peaks after determining the peaks present in the processed signal.
ECG vs. single-antenna system for heartbeat activity detection
2011
This paper presents a single antenna Doppler system for contactless heartbeat monitoring. The proposed system, based on using a vector network analyzer, is tested at 16 GHz frequency for different transmitted power levels between 0 and -25 dBm. Both heartbeat rate and heart rate variability are extracted from the signals obtained with the Doppler system and compared to simultaneous ECG signals.
Doppler radar for heartbeat rate and heart rate variability extraction
2011
This paper presents a Doppler radar system used to detect the heartbeat signal from a d√istance of one meter. The proposed system is based on using a vector network analyzer and two antennas. Measurements are performed at 16 GHz for different power levels between 0 and -25 dBm. Both heartbeat rate and heart rate variability are extracted and compared to a simultaneous ECG signal.