Contactless Heartbeat Detection from CW-Doppler Radar using Windowed-Singular Spectrum Analysis
| Autor: | Linh Trung Nguyen, Trong Tuan Do, Koichiro Ishibashi, Guanghao Sun, Manh Ha Luu, Yuki Iwata, Trong Thanh Han |
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| Rok vydání: | 2020 |
| Předmět: |
Heartbeat
Computer science Doppler radar Vital signs Beat (acoustics) 02 engineering and technology law.invention Heart Rate law Respiration Heart rate 0202 electrical engineering electronic engineering information engineering Humans Computer vision Radar Singular spectrum analysis Signal processing business.industry Spectrum Analysis 020208 electrical & electronic engineering Signal Processing Computer-Assisted 020206 networking & telecommunications Body movement cardiovascular system Breathing Artificial intelligence business |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc44109.2020.9175441 |
| Popis: | The continuous-wave Doppler radar measures the movement of a chest surface including of cardiac and breathing signals and the body movement. The challenges associated with extracting cardiac information in the presence of respiration and body movement have not been addressed thus far. This paper presents a novel method based on the windowed-singular spectrum analysis (WSSA) for solving this issue. The algorithm consists of two processes: signal decomposition via WSSA followed by the reconstruction of decomposed heartbeat signals through convolution. An experiment was conducted to collect chest signals in 212 people by Doppler radar. In order to confirm the effect of reducing the large noise by the proposed method, we evaluated 136 signals that were considered to contain respiration body movements from the collected signals. When comparing to the performance of a band-pass filter, the proposed analysis achieves improved beat count accuracy. The results indicate its applicability to contactless heartbeat estimation under involving respiration and body movements. |
| Databáze: | OpenAIRE |
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