TY  - INPR
ID  - SisLab4002
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4002/
A1  - Yuki, Iwata
A1  - Koichiro, Ishibashi
A1  - Guanghao, Sun
A1  - Luu Manh, Ha
A1  - Han Trong, Thanh
A1  - Nguyen Linh, Trung
A1  - Do Trong, Tuan
Y1  - 2020/07//
N2  - 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.
TI  - Contactless heartbeat detection from CW-doppler radar using windowed-singular spectrum analysis
M2  - Montreal, Quebec, Canada
AV  - none
T2  - 42nd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ER  -