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...

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Bibliografiska uppgifter
Huvudupphovsmän:	Rinaldi Anwar Buyung, Alhadi Bustamam, Muhammad Remzy Syah Ramazhan
Materialtyp:	Artikel
Språk:	English
Publicerad:	MDPI AG 2024-11-01
Serie:	Sensors
Ämnen:	heart rate machine learning remote photoplethysmography signal processing
Länkar:	https://www.mdpi.com/1424-8220/24/23/7537

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