Analysis of myocardial infarction signals using optical technique
| Autor: | Mohd Alauddin Mohd Ali, Kok Beng Gan, Rusna Meswari, Mohd Hasni Jaafar, Nurhafizah Mahri |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
0206 medical engineering Myocardial Infarction Biomedical Engineering 02 engineering and technology 030204 cardiovascular system & hematology Electrocardiography 03 medical and health sciences 0302 clinical medicine Internal medicine Photoplethysmogram medicine Humans Myocardial infarction Photoplethysmography Lead (electronics) Alternative methods medicine.diagnostic_test business.industry General Medicine Heart monitoring medicine.disease 020601 biomedical engineering Triage Cardiology Biomarker (medicine) business |
| Zdroj: | Journal of Medical Engineering & Technology. 40:155-161 |
| ISSN: | 1464-522X 0309-1902 |
| DOI: | 10.3109/03091902.2016.1153740 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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