Video-based heart rate measurement using short-time Fourier transform

Yong Poh Yu, Ban Hoe Kwan, Chern Loon Lim, Siaw Lang Wong, P. Raveendran

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

25 Citations (Scopus)

Abstract

Non-invasive heart rate measurement is essential in medical and sport sciences. Typically, the first stage of heart rate measurements is obtained from non-invasive sensors. In this paper, the data from video sequences of a subject cycling are processed using short-time Fourier transform (STFT) to indicate the heart rate of the subject. The choice of using STFT is its ability to provide more accurately localized temporal and frequency information, especially for the rapidly changing heart rate pattern during the exercise routine. Experimental results show the proposed method can provide an acceptable result and the root mean square error is less than 2.5 beats per minute (BPM) for heart rate variations between 80 BPM and 130 BPM.

Original languageEnglish
Title of host publicationISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages704-707
Number of pages4
ISBN (Print)9781467363617
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventIEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2013 - Naha, Okinawa, Japan
Duration: 12 Nov 201315 Nov 2013
https://ieeexplore.ieee.org/xpl/conhome/6691895/proceeding (Proceedings)

Conference

ConferenceIEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) 2013
Abbreviated titleISPACS 2013
Country/TerritoryJapan
CityNaha, Okinawa
Period12/11/1315/11/13
Internet address

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