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 1.
CITATION STYLE
Pedro, S., Quintas, J., & Menezes, P. (2014). Sensor-based detection of Alzheimer’s disease-related behaviors. In IFMBE Proceedings (Vol. 42, pp. 276–279). Springer Verlag. https://doi.org/10.1007/978-3-319-03005-0_70
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