"Development of a Personalized Anomaly Detection Model to Detect Motion ..."

Andrea Valerio et al. (2024)

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DOI: 10.1109/SENSORS60989.2024.10785142

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type: Conference or Workshop Paper

metadata version: 2025-08-05

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Andrea Valerio, Danilo Demarchi, Brendan O'Flynn, Salvatore Tedesco:
Development of a Personalized Anomaly Detection Model to Detect Motion Artifacts Over PPG Data Using Catch22 Features. IEEE SENSORS 2024: 1-4

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