Affective Computing Based on Morphological Features of Photoplethysmography for Patients with Hypertension.
Sung-Nien YuI-Mei LinSan-Yu WangYi-Cheng HouSheng-Po YaoChun-Ying LeeChai-Jan ChangChih-Sheng ChuTsung-Hsien LinPublished in: Sensors (2022)
Keyphrases
- affective computing
- morphological features
- blood pressure
- cardiovascular disease
- clinical trials
- human computer interaction
- patient data
- feature vectors
- learning technologies
- clinical data
- intelligent tutoring systems
- pedagogical agents
- affect recognition
- risk factors
- emotion recognition
- physiological signals
- heart rate
- computational models
- electronic medical record
- medical diagnosis
- artificial intelligence
- recent progress
- medical records
- image sequences