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Related Experiment Video

Updated: Nov 7, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

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SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices.

Giulio Masinelli¹, Fabio Dell'Agnola¹, Adriana Arza Valdés¹

¹Embedded Systems Laboratory, Swiss Federal Institute of Technology in Lausanne (EPFL), 1015 Lausanne, Switzerland.

Sensors (Basel, Switzerland)

|April 30, 2021

Summary

This study introduces SPARE, a novel algorithm to reconstruct corrupted photoplethysmographic (PPG) signals using ECG data. SPARE enhances health biomarker detection from PPG signals, even during physical activity.

Keywords:

PPG SPARE motion artifacts removal multimodal monitoring wearables

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Published on: July 7, 2023

Area of Science:

Biomedical Engineering
Signal Processing
Wearable Technology

Background:

Photoplethysmographic (PPG) signals are popular for health monitoring but susceptible to motion artifacts.
Artifacts render PPG signals unreliable for health and wellness applications when not at rest.

Purpose of the Study:

To develop a robust algorithm for reconstructing PPG pulsewave signals corrupted by motion artifacts.
To enable reliable health biomarker extraction from PPG signals in real-world, dynamic conditions.

Main Methods:

Proposed SPARE (Spectral Peak Recovery algorithm) for PPG signal reconstruction.
Utilized local semiperiodicity of PPG and simultaneous ECG data for waveform restoration.
Integrated advanced signal decomposition and novel reconstruction techniques.

Main Results:

Successfully reconstructed PPG waveforms even with significant synthetic noise and during physical activity.
Demonstrated improved identification of health-related features from reconstructed PPG signals.
Achieved up to a 65% improvement in biomarker detection accuracy for noisy PPG data.

Conclusions:

SPARE effectively reconstructs PPG signals compromised by motion artifacts.
The algorithm enhances the utility of PPG signals for multimodal health monitoring.
Reconstructed PPG signals improve the accuracy of various health biomarker detections.