eprintid: 4002
rev_number: 10
eprint_status: archive
userid: 17
dir: disk0/00/00/40/02
datestamp: 2020-07-10 05:41:52
lastmod: 2020-07-10 05:46:26
status_changed: 2020-07-10 05:46:26
type: conference_item
metadata_visibility: show
creators_name: Yuki, Iwata
creators_name: Koichiro, Ishibashi
creators_name: Guanghao, Sun
creators_name: Luu Manh, Ha
creators_name: Han Trong, Thanh
creators_name: Nguyen Linh, Trung
creators_name: Do Trong, Tuan
creators_id: yuki.iwata.as@uec.ac.jp
creators_id: ishibashi@uec.ac.jp
creators_id: guanghao.sun@uec.ac.jp
creators_id: halm@vnu.edu.vn
creators_id: tthanh.hantrong@hust.edu.vn
creators_id: linhtrung@vnu.edu.vn
creators_id: tuan.dotrong@hust.edu.vn
title: Contactless heartbeat detection from CW-doppler radar using windowed-singular spectrum analysis
ispublished: inpress
subjects: ECE
divisions: avitech
divisions: fac_fet
abstract: 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.
date: 2020-07
date_type: published
contact_email: linhtrung@vnu.edu.vn
full_text_status: none
pres_type: paper
event_title: 42nd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
event_location: Montreal, Quebec, Canada
event_dates: July 2020
event_type: conference
refereed: TRUE
citation:   Yuki, Iwata and Koichiro, Ishibashi and Guanghao, Sun and Luu Manh, Ha and Han Trong, Thanh and Nguyen Linh, Trung and Do Trong, Tuan  (2020) Contactless heartbeat detection from CW-doppler radar using windowed-singular spectrum analysis.  In: 42nd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2020, Montreal, Quebec, Canada.    (In Press)