{"title":"单个智能手机的健康诊断","authors":"L. Spaanenburg","doi":"10.4018/IJHCR.2015040104","DOIUrl":null,"url":null,"abstract":"M-Health promises to bring the ease and robustness of the thermometer to general health. Casual handling implies non-invasive measurements, where of old the hand is the main instrument to diagnose health. A smartphone or a wearable can 'extend' the hand by embedding diagnosing intelligence. The paper discusses the role of neural modeling & matching to create such intelligence for the determination of general health factors. It is illustrated in blood pressure measurement of 90-95% medical accuracy without additional accessories.","PeriodicalId":265963,"journal":{"name":"Int. J. Handheld Comput. Res.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Health Diagnosis by Single Smartphone\",\"authors\":\"L. Spaanenburg\",\"doi\":\"10.4018/IJHCR.2015040104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"M-Health promises to bring the ease and robustness of the thermometer to general health. Casual handling implies non-invasive measurements, where of old the hand is the main instrument to diagnose health. A smartphone or a wearable can 'extend' the hand by embedding diagnosing intelligence. The paper discusses the role of neural modeling & matching to create such intelligence for the determination of general health factors. It is illustrated in blood pressure measurement of 90-95% medical accuracy without additional accessories.\",\"PeriodicalId\":265963,\"journal\":{\"name\":\"Int. J. Handheld Comput. Res.\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Handheld Comput. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJHCR.2015040104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Handheld Comput. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJHCR.2015040104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
M-Health promises to bring the ease and robustness of the thermometer to general health. Casual handling implies non-invasive measurements, where of old the hand is the main instrument to diagnose health. A smartphone or a wearable can 'extend' the hand by embedding diagnosing intelligence. The paper discusses the role of neural modeling & matching to create such intelligence for the determination of general health factors. It is illustrated in blood pressure measurement of 90-95% medical accuracy without additional accessories.
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