Literature DB >> 30260658

Research: Use of Dry Electroencephalogram and Support Vector for Objective Pain Assessment.

Chika Okolo, Ahmet Omurtag.   

Abstract

The reliability of normal gel-based electrode electroencephalogram (EEG) for measuring pain has been validated. To date, however, few documented trials have used dry EEG for pain quantification. The primary goal of this study was to objectively quantify pain using dry EEG in conjunction with a support vector machine (SVM). SVMs have been proven accurate for classifying pain intensity. The authors believe that EEG combined with an SVM could increase the statistical power of pain assessment. Currently, clinicians primarily rely on verbal (i.e., subjective) reports for assessing pain; therefore, the research described here could offer a method to objectively monitor pain, eliminate observer error, and individualize treatment.

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Year:  2018        PMID: 30260658     DOI: 10.2345/0899-8205-52.5.372

Source DB:  PubMed          Journal:  Biomed Instrum Technol        ISSN: 0899-8205


  2 in total

1.  Electroencephalogram-derived pain index for evaluating pain during labor.

Authors:  Liang Sun; Hong Zhang; Qiaoyu Han; Yi Feng
Journal:  PeerJ       Date:  2021-12-22       Impact factor: 2.984

2.  Physiological and Psychological Effects of Visual Stimulation with Green Plant Types.

Authors:  Ji-Eun Jeong; Sin-Ae Park
Journal:  Int J Environ Res Public Health       Date:  2021-12-08       Impact factor: 3.390

  2 in total

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