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Helmet-based physiological signal monitoring system

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dc.contributor.authorKim, Youn Sung-
dc.contributor.authorBaek, Hyun Jae-
dc.contributor.authorKim, Jung Soo-
dc.contributor.authorLee, Haet Bit-
dc.contributor.authorPark, Kwang Suk-
dc.contributor.authorChoi, Jong Min-
dc.date.accessioned2012-06-29T01:01:46Z-
dc.date.available2012-06-29T01:01:46Z-
dc.date.issued2009-02-
dc.identifier.citationEUROPEAN JOURNAL OF APPLIED PHYSIOLOGY; Vol.105 3; 365-372ko_KR
dc.identifier.issn1439-6319-
dc.identifier.urihttps://hdl.handle.net/10371/77854-
dc.description.abstractA helmet-based system that was able to monitor the drowsiness of a soldier was developed. The helmet system monitored the electrocardiogram, electrooculogram and electroencephalogram (alpha waves) without constraints. Six dry electrodes were mounted at five locations on the helmet: both temporal sides, forehead region and upper and lower jaw strips. The electrodes were connected to an amplifier that transferred signals to a laptop computer via Bluetooth wireless communication. The system was validated by comparing the signal quality with conventional recording methods. Data were acquired from three healthy male volunteers for 12 min twice a day whilst they were sitting in a chair wearing the sensor-installed helmet. Experimental results showed that physiological signals for the helmet user were measured with acceptable quality without any intrusions on physical activities. The helmet system discriminated between the alert and drowsiness states by detecting blinking and heart rate variability (HRV) parameters extracted from ECG. Blinking duration and eye reopening time were increased during the sleepiness state compared to the alert state. Also, positive peak values of the sleepiness state were much higher, and the negative peaks were much lower than that of the alert state. The LF/HF ratio also decreased during drowsiness. This study shows the feasibility for using this helmet system: the subjects` health status and mental states could be monitored without constraints whilst they were working.ko_KR
dc.description.sponsorshipThis study was supported by a grant from the
Advanced Biometric Research Center (ABRC) and the Korea Science
and Engineering Foundation (KOSEF).
ko_KR
dc.language.isoenko_KR
dc.publisherSPRINGERko_KR
dc.subjectHelmetko_KR
dc.subjectEEGko_KR
dc.subjectDrowsinessko_KR
dc.subjectAlpha waveko_KR
dc.subjectEOGko_KR
dc.subjectDry electrodesko_KR
dc.subjectECGko_KR
dc.titleHelmet-based physiological signal monitoring systemko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor김윤성-
dc.contributor.AlternativeAuthor백현재-
dc.contributor.AlternativeAuthor김정수-
dc.contributor.AlternativeAuthor이햇빛-
dc.contributor.AlternativeAuthor최종민-
dc.contributor.AlternativeAuthor박광석-
dc.identifier.doi10.1007/s00421-008-0912-6-
dc.citation.journaltitleEUROPEAN JOURNAL OF APPLIED PHYSIOLOGY-
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College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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