Study of Algorithm for Heart Rate Detection Based on Bipolar Motion ECG

Author

Sheng, Lei ; Wei, Chen ; Lihua, Guo ; Yuquan, Chen

Author_Institution

Nat. Key Lab. of Biomed. sensor, Zhejiang Univ., Hangzhou, China

Volume

3

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

389

Lastpage

392

Abstract

Heart rate is a very important indicator for both amount of exercise and motor function. A waistband-like bipolar ECG collect system was designed and used. Traditional method was ineffective to get correct heart rate value from the bipolar ECG signals collected under motion state. Two popular time-frequency analysis methods were used and compared. The result showed that Discrete Wavelet Transform (DWT) method could recover heart rate information from polluted ECG signals effectively. After DWT and reconstruct operation, heart rate can be calculated exactly.

Keywords

biomechanics; cardiology; discrete wavelet transforms; electrocardiography; medical signal detection; medical signal processing; signal reconstruction; time-frequency analysis; ECG signal reconstruction; discrete wavelet transform method; exercise; heart rate detection algorithm; motor function; time-frequency analysis; waistband-like bipolar ECG collect system; Band pass filters; Discrete wavelet transforms; Electrocardiography; Finite impulse response filter; Heart rate; Time frequency analysis; DWT; ECG; HHT; heart rate; motion;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.668

Filename

5721505