A robust procedure for P-wave detection and segmentation in high resolution 12-lead ECG

OJ Escalona, L Gavidia, G Wright

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

2 Citations (Scopus)

Abstract

Reliable detection and measurement of the P-wave duration and position in high resolution 12-lead ECG recordings, was automated by means of a computer procedure which involved noise reduction by means of signal averaging, and bi-directional filtering of the P-wave at 25 Hz and the QRS complex at 40 Hz. Then, algorithms for P-onset, P-offset and QRS-onset detection, allowed tile estimation of P-wave duration and PQ interval. This computer procedure was clinically tested with 52 volunteers. The results indicated that, although reliable P-wave detection was possible in at least three leads in any case, the measurement technique was most robust with leads I, II and V4.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1365-1366
Number of pages2
Volume18
ISBN (Print)0-7803-3811-1
DOIs
Publication statusPublished (in print/issue) - 15 Nov 1996
Event18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY - Amsterdam, Netherlands.
Duration: 15 Nov 1996 → …

Publication series

NamePROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Electronic)0589-1019

Conference

Conference18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
Period15/11/96 → …

Keywords

  • Algorithms
  • Automation
  • Computer applications
  • ECG
  • Image segmentation
  • Signal detection
  • Signal filtering and prediction
  • Bidirectional filtering
  • P wave duration
  • Signal averaging
  • Electrocardiography
  • Heart disease diagnosis

Fingerprint

Dive into the research topics of 'A robust procedure for P-wave detection and segmentation in high resolution 12-lead ECG'. Together they form a unique fingerprint.

Cite this