Authors:
F. Riganello
1
and
A. Candelieri
2
Affiliations:
1
S. Anna Institute and RAN – Research on Advanced Neuro-rehabilitation, Italy
;
2
University of Calabria, Italy
Keyword(s):
Heart Rate Variability Analysis, Data Mining, Music, Traumatic Brain Injury, Vegetative State.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cloud Computing
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
e-Health
;
Enterprise Information Systems
;
Health Information Systems
;
Platforms and Applications
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
Aims of the study are to 1-classify emotional responses in healthy and conscious brain injured subjects by Data Mining analysis of subjective reports and Heart Rate Variability (HRV), 2-compare different procedures for reliability, and 3-test applicability in patients with disordered consciousness (vegetative state). We measured HRV of 26 healthy and 16 posttraumatic subjects listening music samples selected by emotions they evoke. Each subject was interviewed and the reported emotions were used for identifing a model assessing the most probable emotion by the HRV parameters. Two macro-categories were defined: positive and negative emotions. The study matched a three-phases strategy. First, we applied several classification approaches to healthy subjects evaluating them through suitable validation techniques. Secondly, the best performing classifiers were used to forecast emotions of posttraumatic patients, without retraining. In the 3rd phase we used the most reliable decision model
both for validation (1st phase) and independent test (2nd phase) in order to classify the “emotional” response of 9 subjects in vegetative state. One HRV parameter (normalized Low-Frequency Band Power) proved sufficient to forecast a reliable classification. Accuracy was greater than 70% on training, validation and test. Model represents an objective criterion to investigate possible emotional responses also in unconscious patients.
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