Affective Computing Based on Morphological Features of Photoplethysmography for Patients with Hypertension

Negative and positive emotions are the risk and protective factors for the cause and prognosis of hypertension. This study aimed to use five photoplethysmography (PPG) waveform indices and affective computing (AC) to discriminate the emotional states in patients with hypertension. Forty-three patien...

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Detalles Bibliográficos

Principais autores:	Sung-Nien Yu, I-Mei Lin, San-Yu Wang, Yi-Cheng Hou, Sheng-Po Yao, Chun-Ying Lee, Chai-Jan Chang, Chih-Sheng Chu, Tsung-Hsien Lin
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-11-01
Series:	Sensors
Assuntos:	photoplethysmography (PPG) artificial intelligence (AI) affective computing (AC) hypertension
Acceso en liña:	https://www.mdpi.com/1424-8220/22/22/8771
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