Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors
| Autor: | Max Denis, Winta Gebreslassie, Mulatu Bachoro, Timothy Oladunni |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test business.industry Hypertrophic cardiomyopathy Left ventricular hypertrophy medicine.disease Article Single lead Internal medicine Healthy volunteers cardiovascular system Cardiology Medicine cardiovascular diseases Electrical and Electronic Engineering Abnormality business Instrumentation Electrocardiography |
| Zdroj: | IEEE Sens Lett |
| Popis: | In this work, an automatic detection algorithm for hypertrophic cardiomyopathy (HCM) is presented. Of particular interest is the algorithm’s ability to differentiate HCM subjects and healthy volunteers from a single lead ECG dataset. Suspected HCM subjects are identified by the primary clinical abnormality associated with HCM, left ventricular hypertrophy (LVH). In total, n=43 human subjects ECG datasets are investigated: n=21 healthy volunteers and n=22 left ventricular hypertrophy (LVH) patients. Significant differences of p-value 0.01 and 0.04 were found for the respective ECG parameters, S-wave amplitude and ST-segment, when differentiating between the LVH patients and healthy human volunteers. |
| Databáze: | OpenAIRE |
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