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...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Rinaldi Anwar Buyung, Alhadi Bustamam, Muhammad Remzy Syah Ramazhan
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2024-11-01
Loạt:	Sensors
Những chủ đề:	heart rate machine learning remote photoplethysmography signal processing
Truy cập trực tuyến:	https://www.mdpi.com/1424-8220/24/23/7537

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