MERIT: Multimodal Wearable Vital Sign Waveform Monitoring
Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin, Lv, Zhe Sun, Yue Gao

TL;DR
MERIT is a novel multimodal wearable system that accurately monitors ECG signals during daily activities by mitigating motion artifacts through deep independent component analysis and multimodal fusion.
Contribution
The paper introduces MERIT, a wearable system with deep-ICA and multimodal fusion to improve ECG monitoring during movement, addressing limitations of existing stationary methods.
Findings
MERIT accurately reconstructs ECG during office activities.
Outperforms commercial devices and existing methods in dynamic environments.
Demonstrates reliable cardiac monitoring in real-world scenarios.
Abstract
Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning systems. Existing methods of monitoring vital signs require subjects to remain stationary, which is impractical for daily monitoring as individuals are often in motion. To address this limitation, we propose MERIT, a multimodality-based wearable system designed for precise ECG waveform monitoring without movement restrictions. Daily activities, involving frequent arm movements, can significantly affect sensor data and complicate the reconstruction of accurate ECG signals. To mitigate motion impact and enhance ECG signal reconstruction, we introduce a deep independent component analysis (Deep-ICA) module and a multimodal fusion module. We conducted…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring
