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2010 International Conference on Body Sensor Networks
Sound Based Heart Rate Monitoring for Wearable Systems
Singapore, Singapore
June 07-June 09
ISBN: 978-0-7695-4065-8
| ASCII Text | x | ||
| T.T. Zhang, W. Ser, Goh Yam Thiam Daniel, Jianmin Zhang, Jufeng Yu, C. Chua, I.M. Louis, "Sound Based Heart Rate Monitoring for Wearable Systems," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 139-143, 2010 International Conference on Body Sensor Networks, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/BSN.2010.25, author = {T.T. Zhang and W. Ser and Goh Yam Thiam Daniel and Jianmin Zhang and Jufeng Yu and C. Chua and I.M. Louis}, title = {Sound Based Heart Rate Monitoring for Wearable Systems}, journal ={Wearable and Implantable Body Sensor Networks, International Workshop on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4065-8}, pages = {139-143}, doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2010.25}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Wearable and Implantable Body Sensor Networks, International Workshop on TI - Sound Based Heart Rate Monitoring for Wearable Systems SN - 978-0-7695-4065-8 SP139 EP143 A1 - T.T. Zhang, A1 - W. Ser, A1 - Goh Yam Thiam Daniel, A1 - Jianmin Zhang, A1 - Jufeng Yu, A1 - C. Chua, A1 - I.M. Louis, PY - 2010 VL - 0 JA - Wearable and Implantable Body Sensor Networks, International Workshop on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BSN.2010.25
This paper presents an alternative approach for heart rate measurement. Instead of using an ECG sensor, the proposed design uses sound signals received from a microphone which does not require skin-contact. Specifically, the design uses an air conductive microphone and an efficient algorithm to estimate the heart beat parameters of the wearer. The estimates are obtained for different activities undertaken by the wearer. The activities studied include sitting, jumping, reading, laughing, singing, and coughing. Data are collected from researchers and students working in the laboratory, and in the presence of lung sound, and other environmental sounds and noise. Preliminary results show that, the method can be an effective alternative means of monitoring cardiac (heart) sounds in a natural environment.
Citation:
T.T. Zhang, W. Ser, Goh Yam Thiam Daniel, Jianmin Zhang, Jufeng Yu, C. Chua, I.M. Louis, "Sound Based Heart Rate Monitoring for Wearable Systems," bsn, pp.139-143, 2010 International Conference on Body Sensor Networks, 2010
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