title: Analysis of myocardial infarction signals using optical technique.
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.
authors.affiliation: a Jabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan Alam Bina , Universiti Kebangsaan Malaysia , Bangi , Selangor , Malaysia ;|b Jabatan Elektronik, Fakulti Kejuruteraan Elektrik dan Elektronik , Universiti Tun Hussein Onn Malaysia , Batu Pahat , Johor , Malaysia ;
authors.forename: Nurhafizah
authors.initials: N
authors.lastname: Mahri
authors.affiliation: a Jabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan Alam Bina , Universiti Kebangsaan Malaysia , Bangi , Selangor , Malaysia ;
authors.forename: Kok Beng
authors.initials: KB
authors.lastname: Gan
authors.affiliation: a Jabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan Alam Bina , Universiti Kebangsaan Malaysia , Bangi , Selangor , Malaysia ;
authors.forename: Mohd Alauddin
authors.initials: MA
authors.lastname: Mohd Ali
authors.affiliation: c Jabatan Kesihatan Masyarakat , Pusat Perubatan Universiti Kebangsaan Malaysia , Cheras , Kuala Lumpur , Malaysia.
authors.forename: Mohd Hasni
authors.initials: MH
authors.lastname: Jaafar
authors.affiliation: c Jabatan Kesihatan Masyarakat , Pusat Perubatan Universiti Kebangsaan Malaysia , Cheras , Kuala Lumpur , Malaysia.
authors.forename: Rusna
authors.initials: R
authors.lastname: Meswari
mesh_terms: D004562:Electrocardiography / Q000295:instrumentation; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis*; D017156:Photoplethysmography / Q000295:instrumentation / Q000379:methods*
keywords: Photoplethysmography; myocardial infarction; second derivative photoplethysmography