A Low Cost Mhealth Non-intrusive Method For Monitoring Patient Indoor Localization

dc.creatorDuarte
dc.creatorJ. M. G.; Yokoyama
dc.creatorR. S.; Villas
dc.creatorL. A.
dc.date2015-AUG
dc.date2016-06-07T13:34:18Z
dc.date2016-06-07T13:34:18Z
dc.date.accessioned2018-03-29T01:50:00Z
dc.date.available2018-03-29T01:50:00Z
dc.identifier
dc.identifierA Low Cost Mhealth Non-intrusive Method For Monitoring Patient Indoor Localization. Ieee-inst Electrical Electronics Engineers Inc, v. 13, p. 2668-2673 AUG-2015.
dc.identifier1548-0992
dc.identifierWOS:000365236700030
dc.identifier
dc.identifierhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7332147
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243894
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1307592
dc.descriptionThe development of efficient mechanisms for detecting health issues in patients as early as possible is very welcome since the probability of positive outcomes from treatments increases if the health problem is detected on its early stages. On the other hand, many health issues can even be avoided if the condition of risk is detected before the patient start suffering from the disease. In this work, we propose a novel, efficient and low cost solution for indoor monitoring of patients for medical purposes based on Wi-Fi signal strength intensities and mobile computing. The output of our solution consist of reports containing the patterns of room occupation by patients inside home. These reports will allow health care professionals to detect changes on the behavior of patients that can be interpreted as early signs of health related issues. The proposed solution was implemented in an Android smartphone and tested in a real scenario. To assess our solution, 10 monitoring periods with the duration of approximately one hour each, were performed at different times. During each monitoring period, 40 random points were selected as measuring points and 391 correct detections out of 400 possible were reached, corresponding to an average effectiveness of 97.75%.
dc.description13
dc.description8
dc.description
dc.description2668
dc.description2673
dc.description
dc.description
dc.description
dc.languagept
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.publisher
dc.publisherPISCATAWAY
dc.relationIEEE LATIN AMERICA TRANSACTIONS
dc.rightsfechado
dc.sourceWOS
dc.subjectHealth-care-system
dc.subjectMobile
dc.subjectNetworks
dc.subjectCities
dc.subjectSecure
dc.titleA Low Cost Mhealth Non-intrusive Method For Monitoring Patient Indoor Localization
dc.typeArtículos de revistas


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