Hand rehabilitation assessment system using leap motion controller
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ORIGINAL ARTICLE
Hand rehabilitation assessment system using leap motion controller Miri Weiss Cohen1 · Daniele Regazzoni2 Received: 7 April 2019 / Accepted: 27 October 2019 © Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract This paper presents an approach for monitoring exercises of hand rehabilitation for post stroke patients. The developed solution uses a leap motion controller as hand-tracking device and embeds a supervised machine learning. The K-nearest neighbor methodology is adopted for automatically characterizing the physiotherapist or helper hand movement resulting a unique movement pattern that constitutes the basis of the rehabilitation process. In the second stage, an evaluation of the patients rehabilitation exercises results is compared to the movement pattern of the patient and results are presented, saved and statistically analyzed. Physicians and physiotherapists monitor and assess patients’ rehabilitation improvements through a web application, furthermore, offer medical assisted rehabilitation processes through low cost technology, which can be easily exploited at home. Recorded tracked motion data and results can be used for further medical study and evaluating rehabilitation trends according to patient’s rehabilitation practice and improvement. Keywords Hand rehabilitation · K-nearest neighbor · Leap motion controller
1 Introduction Nowadays, a stroke is the fourth leading cause of death in the United States. In fact, every 40 s, someone in the US is having a stroke. Moreover, around 50% of stroke survivors suffer damage to the upper extremity (Tsoupikova et al. 2015; Pompeu et al. 2014; Shin et al. 2015). Many actions of treating and recovering from a stroke have been developed over the years, but recent studies show that combining the recovery process with the existing rehabilitation plan provides better results and a raise in the patients quality of life (Teasell and Kalra 2004; McDade and Kittner 2009; Langhorne et al. 2011). Part of the stroke recovery process is a rehabilitation plan (Winstein et al. 2016). The process can be difficult, intensive and long depending on how adverse the stroke is and which parts of the brain were damaged. These processes usually involve working with a team of health * Miri Weiss Cohen [email protected] Daniele Regazzoni [email protected] 1
Department of Software Engineering, Braude College of Engineering, Karmiel, Israel
Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, BG, Italy
2
care providers in a full extensive rehabilitation plan, which includes hospital care and home exercises. The rehabilitation processes itself, consist of multiple repeating tasks and stages. Each task is composed of a set of movements the patient must repeat. Medical personnel monitor the patient’s exercises to evaluate progresses and define new rehabilitation tasks. In particular, physiotherapists demonstrate exercises to the patients, who try to repeat them. Then, the physiotherapists asses
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