An improved peak quantification algorithm for automatic heart rate measurements

Cheng Chi Tai, Jia Ren Chang Chien

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper proposes a new method improving the Peak Quantification Algorithm (PQA) introduced by Navakatikyan, et al. in measuring a human heart rate (HR). Experiments reveal that although the PQA can accurately measure the heart rates based on electrocardiogram (ECG) waveforms, this algorithm is too complex and uses too much memory, resulting in substantial reduction in accuracy when applied such algorithm to an embedded system. The proposed Improved-Peak Quantification Algorithm (Improved-PQA) can rapidly analyze the heartbeat waveforms and still accurately measure the heart rates even when it is adopted in an embedded system with a lower computational power and speed.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages6623-6626
Number of pages4
Publication statusPublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sep 12005 Sep 4

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period05-09-0105-09-04

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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