Implementation of a real-time ECG signal processor

Shih Yu Chang Chien, Cheng Han Hsieh, Po-Hung Lin, Qiang Fang, Shuenn Yuh Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A real-time ECG beat detection and classification system integrated with a decimation filter is presented in this paper. The decimation filter with a decimation ratio of 128 is utilized with four stages to optimize power. The beat detection algorithm is based on multi-scale Haar wavelet transform. The first step of the beat detection algorithm is to define a region composed of 128 sample points. The next step is to define the beat position. The beat detection algorithm which is verified with data from MIT/BIH Arrhythmia Database achieves a sensitivity of 99.67% and a positive predictability of 99.59%. The used heartbeat classification algorithm is called maximum similarity comparisons. The parameter of the classification is programmable for doctors. This proposed system can realize multiple functions in real time. This chip is fabricated in a 0.18 μm standard CMOS technology with chip area of 4.84 mm2, which achieves low power consumptions and can carry out a long term cardiac monitoring.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
PublisherIEEE Computer Society
ISBN (Print)9781479927708
DOIs
StatePublished - 2014
Event2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 - Chung Li, Taiwan
Duration: 11 Apr 201414 Apr 2014

Publication series

Name2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

Conference

Conference2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
Country/TerritoryTaiwan
CityChung Li
Period11/04/1414/04/14

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