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This paper presents a system for touch-less heartbeat detection and a cardiopulmonary signal modeling approach. Using a vector network analyzer, a microwave system is tested for the detection of the heartbeat signal at a distance of 1 m from a person. The proposed system shows the ability of detecting the heartbeat signals with the possibility of tuning both frequency and power. Measurements are performed...
This paper presents a practical study for heartbeat detection at 1 m distance. Our microwave system, based on a vector network analyzer, is used at 2.4 GHz, 5.8 GHz, 10 GHz, 16 GHz, and 60 GHz. Heart Rate Variability is extracted from the time domain variation of the phase of S21 for both the original and the smoothed signal, and its standard deviation is calculated.
A new system for contact-less heartbeat detection is proposed. Operating at 2.4, 5.8, 10, 16, and 60 GHz, our system shows the possibility to detect the heartbeat rate at a distance of 1 m from the person. The heart rate variability is extracted as well. Originating from experimental measurements, a model presenting the cardiopulmonary activities is proposed. Separating the heartbeat signal from the...
The aim of this work is to present a practical study to detect heartbeats from distance, as well as cardiopulmonary activity modeling and simulation, in order to separate the heart and the respiration signals. Using a Vector Network Analyzer, measurements are taken at 2.4, 5.8, 10,16 and 60 GHz. The Matlab simulation permits comparing several signal processing techniques in order to identify the most...
This paper demonstrates the possibility of detecting heartbeats using a vector network analyzer and two antennas. Within the same system, a comparative study is performed 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 16 GHz. This work proves the ability to accurately detect heart activity and extract...
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