Medical Condition Assessment of Patients with Disabilities Based on Daily Activity Analysis

Draganov, Ivo R. and Dinev, Pavel and Boumbarov, Ognian and Brodić, Darko (2017) Medical Condition Assessment of Patients with Disabilities Based on Daily Activity Analysis. In: 52nd INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES (ICEST 2017), June 28-30, 2017, Nis, Serbia.

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Abstract

In this paper is presented a general approach for the medical condition assessment of patients with disabilities. It is based on daily activity analysis using common accelerometer sensors carried by the monitored person while at home without medical personnel present. Six types of activities are being investigated using the k-NN classifier after initial pre-processing of the raw input data followed by additional reduction in dimension and thus recognition time. Promising results are obtained which could bring useful statistics for the progress of the medical state of the observed individual over prolonged time.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Human activity recognition, Accelerometer, k-NN, patient, Motor disabilities
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Technical Sciences
Depositing User: ICEST
Date Deposited: 18 Mar 2020 17:09
Last Modified: 18 Mar 2020 17:09
URI: http://eprints.uklo.edu.mk/id/eprint/4243

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