Methods for Person-Centered Continuous Pain Intensity Assessment from Bio-Physiological Channels

IEEE Journal on Selected Topics in Signal Processing

Volumn 10, Issue 5, 2016, Pages 854-864

  Kächele, Markus ^a   Thiam, Patrick ^a   Amirian, Mohammadreza ^a   Schwenker, Friedhelm ^a   Palm, Gunther ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

machine learning; Pain intensity estimation; personalization; semi supervised learning

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA HANDLING; FEATURE EXTRACTION; HEALTH; LEARNING ALGORITHMS; LEARNING SYSTEMS; PHYSIOLOGY; SUPERVISED LEARNING;

FEATURE EXTRACTION ALGORITHMS; INCREMENTAL DATA; INTENSITY ESTIMATION; MACHINE LEARNING TECHNIQUES; META INFORMATION; PERSONALITY TRAITS; PERSONALIZATIONS; SEMI- SUPERVISED LEARNING;

CLASSIFICATION (OF INFORMATION);

EID: 84982728114     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2016.2535962     Document Type: Article

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