Evidence map›Paper›PMID 33236166›Full record

ArticleJournal of medical systems2020

Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect.

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

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Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Çiğdem Gülüzar AltıntopDepartment of Biomedical Engineering, Erciyes University, Kayseri, Turkey.
Fatma LatifoğluDepartment of Biomedical Engineering, Erciyes University, Kayseri, Turkey. flatifoglu@erciyes.edu.tr.
Aynur Karayol AkınDepartment of Anesthesiology and Reanimation, Erciyes University, Kayseri, Turkey.
Ramis İleriDepartment of Biomedical Engineering, Erciyes University, Kayseri, Turkey.
Mehmet Akif YazarDepartment of Anesthesiology and Reanimation, Konya Training and Research Hospital, Konya, Turkey.
Erciyes University · TRKonya Eğitim ve Araştırma Hastanesi · TR

Funding

Erciyes Üniversitesi FDK-2017-7531
6 · The paper itself

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.

Indexed as

ConsciousnessGalvanic Skin ResponseComaGlasgow Coma ScaleHumansUnconsciousnessConsciousness levelDecision treesGalvanic skin responseGlasgow coma scaleGSR

Identifiers

PMID33236166
OpenAlexW3109416833

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.