Sensor-Based Detection of Alzheimer’S Disease-Related Behaviors
This paper presents the use of wearable sensors to detect one of the symptoms of the Alzheimer Disease that has a large impact on life quality of both patients and caregivers - Psychomotor Agitation. The study involved the evaluation of five classification algorithms for the given purpose. The results show that the SVMclassifier using a few features extracted from the measured signals has the best performance.
KeywordsAlzheimer’s Disease behaviour detection psychomotor agitation wearable sensors classification
Unable to display preview. Download preview PDF.