A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts.

Ye, Yalan; He, Wenwen; Cheng, Yunfei; Huang, Wenxia; Zhang, Zhilin

Ye, Yalan; He, Wenwen; Cheng, Yunfei; Huang, Wenxia; Zhang, Zhilin.

Afiliação

Ye Y; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yalanye@uestc.edu.cn.
He W; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. hwwuestc@gmail.com.
Cheng Y; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. yunfeicheng@hotmail.com.
Huang W; West China Hospital of Sichuan University, Chengdu 610041, China. huangwenxia120@gmail.com.
Zhang Z; Samsung Research America-Dallas, Richardson, TX 75082, USA. zhangzlacademy@gmail.com.

Sensors (Basel) ; 17(2)2017 Feb 16.

Article em En | MEDLINE | ID: mdl-28212327

Assuntos

Frequência Cardíaca; Algoritmos; Artefatos; Humanos; Movimento (Física); Fotopletismografia; Processamento de Sinais Assistido por Computador

Palavras-chave

heart rate (HR); motion artifacts (MA); photoplethysmography (PPG); random forest

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Frequência Cardíaca Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

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