Chen, Y.-H.Y.-H.ChenChen, H.-H.H.-H.ChenChen, T.-C.T.-C.ChenChen, L.-G.L.-G.ChenLIANG-GEE CHEN2018-09-102018-09-102011http://www.scopus.com/inward/record.url?eid=2-s2.0-84055190234&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/362373As health care becomes popular, daily monitoring of health-status related parameters, including the heart rate (HR), is getting more and more valued. An easy, comfortable and robust solution is therefore an important issue. Phonocardiogram (PCG) is a physiological signal reflecting the cardiovascular status. It could be recorded by microphone-equipped on-hand devices, like the smartphone, even without direct skin contact. However, high inter- and intra-variance of PCG make its processing challenging. For PCG-based HR measurement, a robust method is still strongly required. In this paper, we propose a HR measurement algorithm on the processing of PCG that uses on-line template extraction and matching. Through several experiments where traditional methods cannot effectively handle, the robustness of our method is verified by its accurate HR measurement results. ? 2011 IEEE.[SDGs]SDG3Heart rates; Measurement algorithms; Measurement results; Phonocardiograms; Physiological signals; Robust methods; Robust solutions; Skin contact; Smart phones; Template extraction; Engineering; Industrial engineering; Health care; adult; algorithm; article; automated pattern recognition; computer assisted diagnosis; female; heart murmur; heart rate; human; male; methodology; pathophysiology; phonocardiography; reproducibility; sensitivity and specificity; sound detection; young adult; Adult; Algorithms; Diagnosis, Computer-Assisted; Female; Heart Murmurs; Heart Rate; Humans; Male; Pattern Recognition, Automated; Phonocardiography; Reproducibility of Results; Sensitivity and Specificity; Sound Spectrography; Young Adultconference paper10.1109/IEMBS.2011.6090552