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Journal of Medical Systems
Published in: Journal of Medical Systems 1/2021

01-01-2021 | Coma | Image & Signal Processing

Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect

Authors: Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Aynur Karayol Akın, Ramis İleri, Mehmet Akif Yazar

Published in: Journal of Medical Systems | Issue 1/2021

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Abstract

The neurological status of patients in the Intensive Care Units (ICU) is determined by the Glasgow Coma Scale (GCS). Patients in coma are thought to be unaware of what is happening around them. However, many studies show that the family plays an important role in the recovery of the patient and is a great emotional resource. In this study, Galvanic Skin Response (GSR) signals were analyzed from 31 patients with low consciousness levels between GCS 3 and 8 to determine relationship between consciousness level and GSR signals as a new approach. The effect of family and nurse on unconscious patients was investigated by GSR signals recorded with a new proposed protocol. The signals were recorded during conversation and touching of the patient by the nurse and their families. According to numerical results, the level of consciousness can be separated using GSR signals. Also, it was found that family and nurse had statistically significant effects on the patient. Patients with GCS 3,4, and 5 were considered to have low level of consciousness, while patients with GCS 6,7, and 8 were considered to have high level of consciousness. According to our results, it is obtained lower GSR amplitude in low GCS (3, 4, 5) compared to high GCS (7, 8). It was concluded that these patients were aware of therapeutic affect although they were unconscious. During the classification stage of this study, the class imbalance problem, which is common in medical diagnosis, was solved using Synthetic Minority Over-Sampling Technique (SMOTE), Adaptive Synthetic Sampling (ADASYN) and random oversampling methods. In addition, level of consciousness was classified with 92.7% success using various decision tree algorithms. Random Forest was the method which provides higher accuracy compared to all other methods. The obtained results showed that GSR signal analysis recorded in different stages gives very successful GCS score classification performance according to literature studies.
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Metadata
Title
Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect
Authors
Çiğdem Gülüzar Altıntop
Fatma Latifoğlu
Aynur Karayol Akın
Ramis İleri
Mehmet Akif Yazar
Publication date
01-01-2021
Publisher
Springer US
Keyword
Coma
Published in
Journal of Medical Systems / Issue 1/2021
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-020-01677-5

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