Advanced Signal Processing Techniques for Microwave Cardiopulmonary Signals Separation (original) (raw)
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IEEE Sensors Journal, 2022
Doppler-based radar systems have been seen as a promising tool to assess vital signs, since they are capable to monitor the respiratory and cardiac signal remotely, by measuring the chest-wall displacement. However, due to the spectral overlap of these signals, their proper separation is a challenging task. In this paper, we demonstrate the effectiveness of using Discrete Wavelet Transform in the cardiac signal extraction, by comparing this method with other approaches widely used in literature, namely a standalone Band-Pass Filtering, the Ensembled Empirical Mode Decomposition, the Continuous Wavelet Transform and the Wavelet Packet Decomposition. The comparison metrics were defined taking into consideration the heart rate computation accuracy, and also the peak detection consistency to further evaluate the Heart Rate Variability. The efficiency of those methods is also tested considering real application scenarios, characterized by non-controlled monitoring environment conditions and the ability to equally assess the vital signs of different subjects, regardless their physical stature.
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.
Microwave Doppler Radar for Heart Beat Detection Vs Electrocardiogram: A Validation Approach
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Abstract- This paper provides a validation approach for a microwave Doppler Radar system used for heartbeat detection. The proposed system is tested at 16 GHz with several transmitted power, simultaneously with a pc-based electrocardiogram. Obtained results show accurate detection for the heartbeat signal in terms of heartbeat rate and heart rate variability. 1.
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...
Signal Processing Methods for Doppler Radar Heart Rate Monitoring
Signal Processing Techniques for Knowledge Extraction and Information Fusion, 2008
A practical means for unobtrusive and ubiquitous detection and monitoring of heart and respiration activity from a distance could be a powerful tool for health care, emergency, and surveillance applications, yet remains a largely unrealized goal. Without the need for contact or subject preparation (special clothing, attachments, etc.), this could better extend health monitoring to the chronically ill in routine life, allow wellness monitoring for a large population without known predisposition for risk or harm, and provide alarm and data in emergencies. Such technology could also be used to detect lost or hidden subjects, to help assess emotional state, and to compliment more cumbersome measurements as pre-screening. Doppler radar remote sensing of vital signs has shown promise to this end, with proof of concept demonstrated for various applications. Unfortunately, this principle has not been developed to the level of practical application, mainly due to a lack of an effective way to isolate desired target motion from interference. However, by leveraging recent advances in signal processing and wireless communications technologies, this technique has the potential to transcend mere novelty and make a profound impact on health and welfare in society.
Doppler radar architectures and signal processing for heart rate extraction
Mikrotalasna …, 2009
In this paper heartbeat interval extraction methods using Doppler radar are reviewed. While single channel CW radar offers simple architecture and signal processing, this method is very sensitive to subject position. Quadrature radio architecture is used to overcome this limitation. The use of linear and non-linear demodulation methods was explored for heartbeat interval extraction, and it was demonstrated that heart rate variability analysis is feasible using quadrature Doppler radar.
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.
Heartbeat interval extraction using doppler radar for health monitoring
… in Modern Satellite, …, 2009
In this paper heartbeat interval extraction methods using Doppler radar are reviewed. While single channel CW radar offers simple architecture and signal processing, this method is very sensitive to subject position and may result in rate doubling, or the coupling between heart and respiratory rates. Quadrature radio architecture is used to overcome this limitation. The use of linear and non-linear demodulation methods was explored for heartbeat interval extraction.