Non-Negative Matrix Factorization-Based Blind Source Separation for Non-Contact Heartbeat Detection

Chen Ye, Kentaro Toyoda, Tomoaki Ohtsuki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Recently, through exploiting the spectral sparsity of heartbeat component, a heartbeat detection method using a stochastic gradient approach has enabled a high-resolution of heartbeat spectrum reconstruction by Doppler radar signal, which also suppresses the residual noises after signal decomposition. However, the interference from respiration and/or body motion often corrupts the decomposition of signal by singular spectrum analysis (SSA), resulting in an inaccurate extraction of heartbeat component. In this paper, a non-negative matrix factorization (NMF)-based blind source separation (BSS) is first applied to non-contact heartbeat detection for better heartbeat extraction, incorporating the stochastic gradient approach. Specifically, motion noise is taken into account as one of sources, achieving relatively stable separation in various scenarios. In our proposed BSS approach, the spectrogram originated from radar signal is decomposed twice by NMF, which is used to learn the basis spectra (BS) relying on spectral correlation. Experimental results showed the improved accuracy and robustness of our method over conventional methods, on the heart rate (HR) measurement against subjects' sitting still or typewriting.

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538680889
DOI
出版ステータスPublished - 2019 5 1
イベント2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
継続期間: 2019 5 202019 5 24

出版物シリーズ

名前IEEE International Conference on Communications
2019-May
ISSN(印刷版)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period19/5/2019/5/24

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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