Depression and fatigue analysis using a mental-physical model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tian, X.-W. | - |
dc.contributor.author | Zhang, Z.-X. | - |
dc.contributor.author | Lee, S.-H. | - |
dc.contributor.author | Yoon, H.-J. | - |
dc.contributor.author | Lim, J.S. | - |
dc.date.available | 2020-02-29T00:47:23Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14894 | - |
dc.description.abstract | Recent research has indicated a significant association between depression and fatigue. To analyze depression and fatigue, an experiment was conducted that provided the subjects with affective content to induce a variety of emotions and heart rate variability (HRV). This paper presents a mental-physical model that describes the relationship between depression and fatigue by using a neuro-fuzzy network with a weighted fuzzy membership function using two time-domain and four frequency-domain features of HRV. HRV data were collected from 24 patients. At the end of the experiment, we determined the relationship between depression and fatigue with the mental-physical model, and our analysis results had an accuracy of 95.8 %. © 2013 Springer Science+Business Media. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.relation.isPartOf | Lecture Notes in Electrical Engineering | - |
dc.subject | Defuzzifications | - |
dc.subject | Depression | - |
dc.subject | Fatigue analysis | - |
dc.subject | Frequency domains | - |
dc.subject | Fuzzy membership function | - |
dc.subject | Heart rate variability | - |
dc.subject | Mental-physical | - |
dc.subject | Neuro-fuzzy network | - |
dc.subject | Recent researches | - |
dc.subject | Time domain | - |
dc.subject | Electroencephalography | - |
dc.subject | Electrophysiology | - |
dc.subject | Fatigue of materials | - |
dc.subject | Heart | - |
dc.subject | Experiments | - |
dc.title | Depression and fatigue analysis using a mental-physical model | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1007/978-94-007-5860-5_97 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.215 LNEE, pp.813 - 817 | - |
dc.identifier.scopusid | 2-s2.0-84874159318 | - |
dc.citation.endPage | 817 | - |
dc.citation.startPage | 813 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 215 LNEE | - |
dc.contributor.affiliatedAuthor | Tian, X.-W. | - |
dc.contributor.affiliatedAuthor | Lee, S.-H. | - |
dc.contributor.affiliatedAuthor | Yoon, H.-J. | - |
dc.contributor.affiliatedAuthor | Lim, J.S. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Depression | - |
dc.subject.keywordAuthor | Electroencephalography (EEG) | - |
dc.subject.keywordAuthor | Fatigue | - |
dc.subject.keywordAuthor | Heart rate variability (HRV) | - |
dc.subject.keywordAuthor | Mental-physical | - |
dc.subject.keywordAuthor | Takagi-Sugeno defuzzification | - |
dc.subject.keywordPlus | Defuzzifications | - |
dc.subject.keywordPlus | Depression | - |
dc.subject.keywordPlus | Fatigue analysis | - |
dc.subject.keywordPlus | Frequency domains | - |
dc.subject.keywordPlus | Fuzzy membership function | - |
dc.subject.keywordPlus | Heart rate variability | - |
dc.subject.keywordPlus | Mental-physical | - |
dc.subject.keywordPlus | Neuro-fuzzy network | - |
dc.subject.keywordPlus | Recent researches | - |
dc.subject.keywordPlus | Time domain | - |
dc.subject.keywordPlus | Electroencephalography | - |
dc.subject.keywordPlus | Electrophysiology | - |
dc.subject.keywordPlus | Fatigue of materials | - |
dc.subject.keywordPlus | Heart | - |
dc.subject.keywordPlus | Experiments | - |
dc.description.journalRegisteredClass | scopus | - |
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