Analysis of myocardial infarction signals using optical technique

Nurhafizah Mahri, Gan Kok Beng, Mohd Alauddin Mohd. Ali, Mohd Hasni Ja`Afar, Rusna Meswari

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The risk of heart attack or myocardial infarction (MI) may lead to serious consequences in mortality and morbidity. Current MI management in the triage includes non-invasive heart monitoring using an electrocardiogram (ECG) and the cardic biomarker test. This study is designed to explore the potential of photoplethysmography (PPG) as a simple non-invasive device as an alternative method to screen the MI subjects. This study emphasises the usage of second derivative photoplethysmography (SDPPG) intervals as the extracted features to classify the MI subjects. The statistical analysis shows the potential of “a-c” interval and the corrected “a-cC” interval to classify the subject. The sensitivity of the predicted model using “a-c” and “a-cC” is 90.6% and 81.2% and the specificity is 87.5% and 84.4%, respectively.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalJournal of Medical Engineering and Technology
DOIs
Publication statusAccepted/In press - 23 Mar 2016

Fingerprint

Photoplethysmography
Biomarkers
Electrocardiography
Statistical methods
Derivatives
Monitoring

Keywords

  • myocardial infarction
  • Photoplethysmography
  • second derivative photoplethysmography

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Analysis of myocardial infarction signals using optical technique. / Mahri, Nurhafizah; Kok Beng, Gan; Mohd. Ali, Mohd Alauddin; Ja`Afar, Mohd Hasni; Meswari, Rusna.

In: Journal of Medical Engineering and Technology, 23.03.2016, p. 1-7.

Research output: Contribution to journalArticle

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