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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Autori principali:	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
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-11-01
Serie:	Sensors
Soggetti:	photoplethysmography (PPG) artificial intelligence (AI) affective computing (AC) hypertension
Accesso online:	https://www.mdpi.com/1424-8220/22/22/8771
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