2023

South Eastern European Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)

ISOMETRIC: An Intelligent System of Outpatient Monitoring Evaluation Towards Rehabilitation In Cloud

Athanasios T. Patenidis, Eirini E. Mitsopoulou, Konstantinos Votis, Dimitrios Tzovaras

Information Technologies Institute Centre for Research & Technology Hellas, Thessaloniki

Keywords

training, measurement units, tracking, social networking (online), wearable computers, kinetic theory, biomedical monitoring

Abstract

Gait analysis is a methodical study of how people move that can be applied to a range of settings, including sports, rehabilitation and clinical diagnosis. This paper describes a system for tracking the kinetic rehabilitation of hemiplegic patients with a combined use of gait analysis system and wearable devices. The concept is focused on training and extracting individualized knowledge from an intelligent information system during the patient’s stay in the rehabilitation facility. This knowledge can be utilized so that the patient may self-manage their rehabilitation regimen and monitor the improvement of their condition in their own place. Medical experts will then be able to monitor patients’ progress through a cloud-based platform.

Moticon's Summary

Patenidis et al. developed ISOMETRIC, an intelligent system for tracking the rehabilitation of patients with hemiplegia, using wearable technology including IMUs and Moticon OpenGo smart insoles. The Moticon OpenGo insoles, equipped with sixteen force sensors, were used to collect gait data, contributing to a comprehensive analysis of the patient's condition and progress.

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