Aung Aung Phyo Wai, W. Huang, V. Fook, J. Biswas, C. Hsia, K. Liou
{"title":"使用多模态传感智能在床内和床周围进行态势感知患者监测","authors":"Aung Aung Phyo Wai, W. Huang, V. Fook, J. Biswas, C. Hsia, K. Liou","doi":"10.1109/IE.2010.31","DOIUrl":null,"url":null,"abstract":"Due to the physical and mental impairments, frail elderly have to stay in the bed most of their time. So, serious health issues and physical injuries can occur to them if dangerous events and situations around the bed are not known in advance. This paper proposes continuous patient monitoring with situation awareness using multimodality sensors to recognize such dangerous events in and around the bed. With multimodal sensing intelligence, various contexts and situations of those bedridden elderly can be determined. By incorporating personalization and medical domain knowledge into detected events and activities, dangerous events can be recognized immediately. Then, timely intervention can be provided to the elderly with potential fall risks. So our solution supports situation aware patient monitoring and provides desirable personalized care at the institutions enabling to prevent potential health and well-being problems in and around the bed.","PeriodicalId":180375,"journal":{"name":"2010 Sixth International Conference on Intelligent Environments","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Situation-Aware Patient Monitoring in and around the Bed Using Multimodal Sensing Intelligence\",\"authors\":\"Aung Aung Phyo Wai, W. Huang, V. Fook, J. Biswas, C. Hsia, K. Liou\",\"doi\":\"10.1109/IE.2010.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the physical and mental impairments, frail elderly have to stay in the bed most of their time. So, serious health issues and physical injuries can occur to them if dangerous events and situations around the bed are not known in advance. This paper proposes continuous patient monitoring with situation awareness using multimodality sensors to recognize such dangerous events in and around the bed. With multimodal sensing intelligence, various contexts and situations of those bedridden elderly can be determined. By incorporating personalization and medical domain knowledge into detected events and activities, dangerous events can be recognized immediately. Then, timely intervention can be provided to the elderly with potential fall risks. So our solution supports situation aware patient monitoring and provides desirable personalized care at the institutions enabling to prevent potential health and well-being problems in and around the bed.\",\"PeriodicalId\":180375,\"journal\":{\"name\":\"2010 Sixth International Conference on Intelligent Environments\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Sixth International Conference on Intelligent Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IE.2010.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Sixth International Conference on Intelligent Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IE.2010.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Situation-Aware Patient Monitoring in and around the Bed Using Multimodal Sensing Intelligence
Due to the physical and mental impairments, frail elderly have to stay in the bed most of their time. So, serious health issues and physical injuries can occur to them if dangerous events and situations around the bed are not known in advance. This paper proposes continuous patient monitoring with situation awareness using multimodality sensors to recognize such dangerous events in and around the bed. With multimodal sensing intelligence, various contexts and situations of those bedridden elderly can be determined. By incorporating personalization and medical domain knowledge into detected events and activities, dangerous events can be recognized immediately. Then, timely intervention can be provided to the elderly with potential fall risks. So our solution supports situation aware patient monitoring and provides desirable personalized care at the institutions enabling to prevent potential health and well-being problems in and around the bed.