DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring
- Author(s)
- Miran Lee; Qun Wei; Soomin Lee; Heejoon Park
- Keimyung Author(s)
- Park, Hee Jun
- Department
- Dept. of Biomedical Engineering (의용공학과)
- Journal Title
- Sensors (Basel)
- Issued Date
- 2023
- Volume
- 23
- Issue
- 5
- Keyword
- daily life monitoring; heart sound; phonocardiograms; photoplethysmogram; vascular transit time
- Abstract
- A sudden cardiac event in patients with heart disease can lead to a heart attack in extreme cases. Therefore, prompt interventions for the particular heart situation and periodic monitoring are critical. This study focuses on a heart sound analysis method that can be monitored daily using multimodal signals acquired with wearable devices. The dual deterministic model-based heart sound analysis is designed in a parallel structure that uses two bio-signals (PCG and PPG signals) related to the heartbeat, enabling more accurate heart sound identification. The experimental results show promising performance of the proposed Model III (DDM-HSA with window and envelope filter), which had the highest performance, and S1 and S2 showed average accuracy (unit: %) of 95.39 (±2.14) and 92.55 (±3.74), respectively. The findings of this study are anticipated to provide improved technology to detect heart sounds and analyze cardiac activities using only bio-signals that can be measured using wearable devices in a mobile environment.
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