{"title":"用无线电模块识别adl的第一步","authors":"Jakob Neuhaeuser, Axel Czabke, T. Lueth","doi":"10.1109/HEALTH.2011.6026752","DOIUrl":null,"url":null,"abstract":"The paper describes a system, designed for unsupervised detecting and recording the activities of daily living (ADL) of patients with mild cognitive impairment (MCI) without human observation. Many miniaturized, radio linked and mobile μC-based tags are used. Some are fixed to objects others are carried by the patients. All tags have a limited and adjustable communication range. Basic concept is to detect, to record and to analyze the combinations of μC-tags. This paper deals especially with a first user interface to evaluate the ADL of a patient as well as an evaluation of our system over several days for some activities with a sensitivity of 92%. This is the last step before entering a clinical environment.","PeriodicalId":187103,"journal":{"name":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"First steps towards a recognition of ADLs with radio modules\",\"authors\":\"Jakob Neuhaeuser, Axel Czabke, T. Lueth\",\"doi\":\"10.1109/HEALTH.2011.6026752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes a system, designed for unsupervised detecting and recording the activities of daily living (ADL) of patients with mild cognitive impairment (MCI) without human observation. Many miniaturized, radio linked and mobile μC-based tags are used. Some are fixed to objects others are carried by the patients. All tags have a limited and adjustable communication range. Basic concept is to detect, to record and to analyze the combinations of μC-tags. This paper deals especially with a first user interface to evaluate the ADL of a patient as well as an evaluation of our system over several days for some activities with a sensitivity of 92%. This is the last step before entering a clinical environment.\",\"PeriodicalId\":187103,\"journal\":{\"name\":\"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HEALTH.2011.6026752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 13th International Conference on e-Health Networking, Applications and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HEALTH.2011.6026752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
First steps towards a recognition of ADLs with radio modules
The paper describes a system, designed for unsupervised detecting and recording the activities of daily living (ADL) of patients with mild cognitive impairment (MCI) without human observation. Many miniaturized, radio linked and mobile μC-based tags are used. Some are fixed to objects others are carried by the patients. All tags have a limited and adjustable communication range. Basic concept is to detect, to record and to analyze the combinations of μC-tags. This paper deals especially with a first user interface to evaluate the ADL of a patient as well as an evaluation of our system over several days for some activities with a sensitivity of 92%. This is the last step before entering a clinical environment.