Yun Seong Kim, Haet Bit Lee, Jung Soo Kim, H. Baek, M. S. Ryu, K. Park
{"title":"基于头盔系统的ECG, EOG检测","authors":"Yun Seong Kim, Haet Bit Lee, Jung Soo Kim, H. Baek, M. S. Ryu, K. Park","doi":"10.1109/ITAB.2007.4407378","DOIUrl":null,"url":null,"abstract":"In the military environment there are many harsh working conditions compare to the normal working place. Many activity can be tiring and compromise a soldier's condition and prove fatal, not only to the individual, but to the team and their operation as well. The same principles apply to the work of Are fighters and miners. Many problems in their work places are caused by worker's mistake due to their fatigue or unconsciousness behavior like a drowsiness. So to monitor and feedback to them is very essential. Despite the importance of the monitoring the health condition, device for this purpose was seldom developed yet. In the former study we proposed helmet based system for measuring biomedical signals. In this paper detecting method for ECG, EOG will be presented using helmet based system and their differences between normal and drowsiness status.","PeriodicalId":129874,"journal":{"name":"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"ECG, EOG detection from helmet based system\",\"authors\":\"Yun Seong Kim, Haet Bit Lee, Jung Soo Kim, H. Baek, M. S. Ryu, K. Park\",\"doi\":\"10.1109/ITAB.2007.4407378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the military environment there are many harsh working conditions compare to the normal working place. Many activity can be tiring and compromise a soldier's condition and prove fatal, not only to the individual, but to the team and their operation as well. The same principles apply to the work of Are fighters and miners. Many problems in their work places are caused by worker's mistake due to their fatigue or unconsciousness behavior like a drowsiness. So to monitor and feedback to them is very essential. Despite the importance of the monitoring the health condition, device for this purpose was seldom developed yet. In the former study we proposed helmet based system for measuring biomedical signals. In this paper detecting method for ECG, EOG will be presented using helmet based system and their differences between normal and drowsiness status.\",\"PeriodicalId\":129874,\"journal\":{\"name\":\"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITAB.2007.4407378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITAB.2007.4407378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the military environment there are many harsh working conditions compare to the normal working place. Many activity can be tiring and compromise a soldier's condition and prove fatal, not only to the individual, but to the team and their operation as well. The same principles apply to the work of Are fighters and miners. Many problems in their work places are caused by worker's mistake due to their fatigue or unconsciousness behavior like a drowsiness. So to monitor and feedback to them is very essential. Despite the importance of the monitoring the health condition, device for this purpose was seldom developed yet. In the former study we proposed helmet based system for measuring biomedical signals. In this paper detecting method for ECG, EOG will be presented using helmet based system and their differences between normal and drowsiness status.