Why the study?
While individual properties of ECG, PCG, SCG, PPG, and PiPG are documented, systematic cross-modal comparisons remain scarce.
Observational (n=20)
No
This study provides a unified reference dataset and interpretation map of time and frequency characteristics for ECG, PCG, SCG, PPG, and PiPG to guide the design of multimodal cardiac monitoring systems.
Heart rate and cardiac dynamics can be monitored using several physiological signals, each with its own biophysical basis and signal characteristics. However, while individual properties of electrocardiogram (ECG), phonocardiogram (PCG), seismocardiogram (SCG), photoplethysmogram (PPG), and piezoplethysmogram (PiPG) are documented, systematic cross-modal comparisons remain scarce. This study aims to consolidate both the time and frequency domain features of these widely accessible technologies to provide practical guidelines for signal processing and multimodal integration. We simultaneously recorded ECG, PCG, SCG, PPG, and PiPG under standardized resting conditions and aligned all modalities on the ECG R-peak. Results highlight clear consistencies (e.g., reproducible morphology and spectra for ECG, PPG, and PiPG) as well as higher variability in PCG and SCG due to sensor coupling and anatomical factors. Temporal latencies relative to the ECG confirm known physiological conduction delays, while frequency analysis identifies modality-specific bands: ~ 30 Hz for PCG, 11–14 Hz for SCG, and 1–2 Hz for PPG/PiPG. Bandwidth analysis further emphasizes differences in spectral richness across modalities. By presenting these benchmarks in a unified framework, this work addresses the current gap between isolated characterizations and integrated signal knowledge. The outcome is a reference dataset and interpretation map that can guide filtering strategies, feature extraction, and the design of multimodal cardiac monitoring systems.
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Charlier et al. (2026) conducted an observational in Healthy (n=20). Noninvasive heartbeat sensors (ECG, PCG, SCG, PPG, PiPG) was evaluated on Cross-modal characterization of temporal and spectral content (morphological similarity).
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