An Effective QRS Detection Algorithm for Wearable ECG in Body Area Network

Author

Zhang, Fei ; Tan, Jun ; Lian, Yong

Author_Institution

Singapore Nat. Univ., Singapore

fYear

2007

fDate

27-30 Nov. 2007

Firstpage

195

Lastpage

198

Abstract

A novel QRS detection algorithm for wearable ECG devices and its FPGA implementation are presented in this paper. The proposed algorithm utilizes the hybrid opening- closing mathematical morphology filtering to suppress the impulsive noise and remove the baseline drift and uses modulus accumulation to enhance the signal. The proposed algorithm achieves an average QRS detection rate of 99.53%, a sensitivity of 99.82% and a positive prediction of 99.71% against the MIT/BIH Arrhythmia Database. It compares favorably to published methods.

Keywords

biomedical communication; biomedical electronics; diseases; electrocardiography; field programmable gate arrays; filtering theory; mathematical morphology; medical signal processing; personal area networks; signal denoising; FPGA; QRS detection algorithm; arrhythmia database; body area network; impulsive noise suppression; mathematical morphology filtering; modulus accumulation; signal enhancement; wearable ECG; Body area networks; Body sensor networks; Databases; Detection algorithms; Electrocardiography; Filtering algorithms; Filters; Interference; Morphology; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference, 2007. BIOCAS 2007. IEEE

Conference_Location

Montreal, Que.

Print_ISBN

978-1-4244-1524-3

Electronic_ISBN

978-1-4244-1525-0

Type

conf

DOI

10.1109/BIOCAS.2007.4463342

Filename

4463342