TY - GEN
T1 - Heart rate detection through bone-conduction headset
AU - Tsai, Tzung Min
AU - Lin, Hsing Chen
AU - Lee, Shuenn Yuh
AU - Chang, Soon Jyh
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/9
Y1 - 2014/12/9
N2 - This paper presents a heart rate detection technique using a microelectromechanical systems (MEMS) microphone (ZTS6011) produced by ZillTek Technology Corporation and a dynamic detection algorithm. The MEMS microphone can be stuck on the temple to detect the beating of the artery, and the pulse of blood transmission can be acquired by the developed sensing module, which includes preamplifiers and analog filters. The presented module has been implemented in a printed circuit board (PCB) with discrete components. The measured results show that the heart rate can be clearly detected in the steady state, and interference caused by motion artifact is distinguished. A dynamic detection algorithm is adopted to determine the various signals and extract the heart rate signal. Results reveal that the presented module may be minimized using integrated circuits, and digital processing is necessary to reduce interference caused by the motion artifact.
AB - This paper presents a heart rate detection technique using a microelectromechanical systems (MEMS) microphone (ZTS6011) produced by ZillTek Technology Corporation and a dynamic detection algorithm. The MEMS microphone can be stuck on the temple to detect the beating of the artery, and the pulse of blood transmission can be acquired by the developed sensing module, which includes preamplifiers and analog filters. The presented module has been implemented in a printed circuit board (PCB) with discrete components. The measured results show that the heart rate can be clearly detected in the steady state, and interference caused by motion artifact is distinguished. A dynamic detection algorithm is adopted to determine the various signals and extract the heart rate signal. Results reveal that the presented module may be minimized using integrated circuits, and digital processing is necessary to reduce interference caused by the motion artifact.
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U2 - 10.1109/BioCAS.2014.6981646
DO - 10.1109/BioCAS.2014.6981646
M3 - Conference contribution
AN - SCOPUS:84920522052
T3 - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
SP - 65
EP - 68
BT - IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Y2 - 22 October 2014 through 24 October 2014
ER -