Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring

Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring

Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light intensity reflected or absorbed by the skin during the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Rinaldi Anwar Buyung, Alhadi Bustamam, Muhammad Remzy Syah Ramazhan
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	MDPI AG 2024-11-01
Σειρά:	Sensors
Θέματα:	heart rate machine learning remote photoplethysmography signal processing
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/24/23/7537

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