Key result
A generalized classification system using galvanic skin response features successfully identified relaxation responses with F1 scores between 0.966 and 1.000.
Why the study?
The study was designed to develop a system capable of automatically identifying a subject's relaxation responses by analyzing galvanic skin response.
Can Galvanic Skin Response (GSR) features be used to automatically detect and classify Relaxation Responses?
Can Galvanic Skin Response (GSR) features be used to automatically detect and classify Relaxation Responses?
A novel machine learning system using Galvanic Skin Response features (slope and surface area) can accurately detect and classify relaxation responses with F1 scores above 0.966.
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Provides tool for objective relaxation assessment in research; leaves open clinical validation in prospective trials.
Martínez et al. (2019) studied Relaxation Response. Galvanic skin response (GSR) analysis system was evaluated on F1 values of the generalized classifier for detecting Relaxation Responses. A generalized classification system using galvanic skin response features successfully identified relaxation responses with F1 scores between 0.966 and 1.000.
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