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

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Title: Affective Computing Based on Morphological Features of Photoplethysmography for Patients with Hypertension.
Authors: Yu SN; Department of Electrical Engineering, National Chung Cheng University, Chiayi 621301, Taiwan.; Pervasive Artificial Intelligence Research (PAIR) Labs, Hsinchu 300093, Taiwan., Lin IM; Pervasive Artificial Intelligence Research (PAIR) Labs, Hsinchu 300093, Taiwan.; Department of Psychology, College of Humanities and Social Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan., Wang SY; Department of Psychology, College of Humanities and Social Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan., Hou YC; Department of Electrical Engineering, National Chung Cheng University, Chiayi 621301, Taiwan., Yao SP; Department of Electrical Engineering, National Chung Cheng University, Chiayi 621301, Taiwan., Lee CY; Division of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; Departments of Family Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan., Chang CJ; Division of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; Departments of Family Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan., Chu CS; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; Department of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan., Lin TH; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.; Department of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Nov 13; Vol. 22 (22). Date of Electronic Publication: 2022 Nov 13.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s22228771