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공공누리This item is licensed Korea Open Government License

Title
기계학습 기반 정신건강 모니터링 시스템 개발
Alternative Title
Development of machine learning-based mental health monitoring system
Publisher
한국과학기술정보연구원
Korea Institute of Science and Technology Information
Publication Year
2018-01
Description
funder : 미래창조과학부
funder : Ministry of Science, ICT and Future Planning
Abstract
본 사업은 간단한 뇌파 측정을 바탕으로 정신건강 상태를 모니터링할 수 있는 인공지능 기술을 개발하는 것을 목적으로 함.

○ 대규모 뇌파 데이터 수집 및 분석
○ 대규모 뇌파 데이터 기반 인공지능 정신건강 모니터링 기술 개발
○ 개발된 모니터링 모델을 탑재한 정신건강 모니터링 시제품의 제작

(출처 : 보고서 초록 5p)

Ⅳ. Results of the research
○ Collected big EEG data
- Collected more than 1,000 EEG data for artificial intelligence analysis
- Collected 4 mental status information for each EEG data

○ Developed mental monitoring techniques
- Developed CNN-based deep learning models of 91% accuracy for anhedonia disease
- Submitted the provisional application of patent for “Method and apparatus for predicting the risk of mental illness using EEG(ELECTRO ENCEPHALO GRPHY)”
- Finished the software registration “EEG-based deep learning model construction software for alcohol use dependence diagnosis”

○ Constructed the mental health monitoring prototype
- Constructed dry-type EEG measurement device with wireless data transmission
- Constructed the mobile mental health monitoring application including the developed artificial intelligence monitoring techniques

(출처 : SUMMARY 9p)
Keyword
정신건강; 모니터링; 기계학습; 뇌파; mental health; monitoring; machine learning; EEG
DOI
10.23000/TRKO201800002514
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Appears in Collections:
7. KISTI 연구성과 > 연구보고서 > 2018
URI
https://repository.kisti.re.kr/handle/10580/11459
http://www.ndsl.kr/ndsl/search/detail/report/reportSearchResultDetail.do?cn=TRKO201800002514
Fulltext
 http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=TRKO&cn=TRKO201800002514
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