Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults

The current diagnosis process of dementia is resulting in a high percentage of cases with delayed detection. To address this problem, in this paper, we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adult population. We implement a signal processing ap...

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Vydáno v:	IEEE transactions on biomedical engineering Ročník 62; číslo 5; s. 1383 - 1394
Hlavní autoři:	Akl, Ahmad, Taati, Babak, Mihailidis, Alex
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2015
Témata:	Aged Aged, 80 and over Algorithms Artificial Intelligence Biomedical measurement Cognitive Dysfunction - diagnosis Cognitive Dysfunction - physiopathology Dementia Feature extraction Female Home Activity Humans Legged locomotion Machine Learning Male Mild Cognitive Impairment Monitoring Older Population Remote Sensing Technology - instrumentation Remote Sensing Technology - methods ROC Curve Sensors Signal Processing Signal Processing, Computer-Assisted Smart Systems Support Vector Machine Unobtrusive Sensing Technologies Vectors Walking Speed older population Home activity unobtrusive sensing technologies signal processing mild cognitive impairment (MCI) smart systems machine learning walking speed
ISSN:	0018-9294, 1558-2531, 1558-2531
On-line přístup:	Získat plný text
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