DocumentCode :
2949075
Title :
iWander: An Android application for dementia patients
Author :
Sposaro, Frank ; Danielson, Justin ; Tyson, Gary
Author_Institution :
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
3875
Lastpage :
3878
Abstract :
Non-pharmacological management of dementia puts a burden on those who are taking care of a patient that suffer from this chronic condition. Caregivers frequently need to assist their patients with activities of daily living. However, they are also encouraged to promote functional independence. With the use of a discrete monitoring device, functional independence is increased among dementia patients while decreasing the stress put on caregivers. This paper describes a tool which improves the quality of treatment for dementia patients using mobile applications. Our application, iWander, runs on several Android based devices with GPS and communication capabilities. This allows for caregivers to cost effectively monitor their patients remotely. The data uncollected from the device is evaluated using Bayesian network techniques which estimate the probability of wandering behavior. Upon evaluation several courses of action can be taken based on the situation´s severity, dynamic settings and probability. These actions include issuing audible prompts to the patient, offering directions to navigate them home, sending notifications to the caregiver containing the location of the patient, establishing a line of communication between the patient-caregiver and performing a party call between the caregiver-patient and patient´s local 911. As patients use this monitoring system more, it will better learn and identify normal behavioral patterns which increases the accuracy of the Bayesian network for all patients. Normal behavior classifications are also used to alert the caregiver or help patients navigate home if they begin to wander while driving allowing for functional independence.
Keywords :
belief networks; patient care; patient monitoring; patient treatment; Bayesian network technique; android application; chronic condition; communication capabilities; dementia patients; discrete monitoring device; iWander; mobile applications; nonpharmacological management; patient care; patient monitoring system; patient treatment; wandering behavior; Bayesian methods; Dementia; Global Positioning System; Google; Monitoring; Smart phones; Bayes Theorem; Cellular Phone; Dementia; Humans; Monitoring, Physiologic; Software; Walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627669
Filename :
5627669
Link To Document :
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