Abstract
The stroke (also known as a Cerebrovascular Accident) is one of the medical conditions that most kills and incapacitates people in the world, affecting men, women and children of many different age brackets. Studies have been presented in recent years addressing the use of systems for motion capture in post stroke rehabilitation, showing that these tools could be just as efficient as the more traditional methods. In this study, we shall present KinesiOS, a system for telerehabilitation and recognition of movements for the motor and neurofunctional assessment of patients who are undergoing rehabilitation. The system tracks the joints in the human body based on their respective spatial coordinates, and then using the obtained data to construct a guide to movements in the form of a virtual skeleton, while measuring the amplitude of the movements (also known as a Range of Motion) within a certain motor action and showing the results in real time. The tracking of the joints is carried out using a Microsoft Kinect® sensor v2, while data processing, we used the C# programming language. We created the visualizations using the Windows Presentation Foundation® technology, and the data was saved in a cloud structure using the MongoDB® database. Preliminary tests performed on six healthy volunteers showed the efficiency of the system for the calculation of amplitude of movements, enabling data analysis in real time and through telemonitoring. KinesiOS is an alternative tool, portable and low-cost, compared with the traditional systems based on tracking of joints.
This project has been partially supported by Huawei do Brasil Telecomunicações Ltda (Fundunesp Process # 3123/2020).
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Notes
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MVC (or Model, View and Controller) is a software architecture standard, used for the development of user interfaces, which separates the program logic into three interconnected layers.
References
Torbey, M.T., Selim, M.H.: The Stroke Book, 2nd edn, pp. 47–73. University Press, Cambridge (2013)
World Stroke Organization. Annual Report 2019. https://www.world-stroke.org/about-wso/annual-reports. Accessed 21 Apr 2021
Gillen, G., Nilsen, D.M.: Stroke Rehabilitation - A Function-Based Approach, 5th edn. Mosby Press, New York (2020)
Brandão, A.F., Dias, D.R.C., Castellano, G., Parizotto, N.A., Trevelin, L.C.: RehabGesture: an alternative tool for measuring human movement. Telemedicine And e-health - Mary Ann Liebert Inc. 22(7), 584–589 (2016)
Virtualware, VirtualRehab System. https://evolvrehab.com/virtualrehab/. Accessed 21 Apr 2021
Rahman, M.: Beginning Microsoft Kinect for Windows SDK 2.0: Motion and Depth Sensing for Natural User Interfaces. Apress Press, New York (2017)
Yuen, S.: Mastering Windows Presentation Foundation: Build responsive UIs for desktop applications with WPF, 2nd edn. Packt Publishing, London (2020)
Bradshaw, S., Brazil, E., Chodorow, K.: MongoDB: The Definitive Guide: Powerful and Scalable Data Storage, 3rd edn, pp. 33–34. O’Reilly Media, California (2019)
Neill, H.: Trigonometry: A Complete Introduction: The Easy Way to Learn Trig, pp. 39–44. Teach Yourself, London (2018)
Kumar, S., Cohn, E.R.: Telerehabilitation (Health Informatics), pp. 1–11. Springer, New York (2013). https://doi.org/10.1007/978-1-4471-4198-3
Makofske, D., Donahoo, M.J., Calvert, K.L.: TCP/IP Sockets in C# - Practical Guide for Programmers, pp. 15–37. Morgan Kaufmann Publishers, California (2005)
Norkin, C.C., White, D.J., Calvert, K.L.: Measurement of Joint Motion - A Guide to Goniometry, 5th edn, pp. 66–91. F. A. Davis Company, Pennsylvania (2016)
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Scudeletti, L.R., Brandão, A.F., Dias, D., Brega, J.R.F. (2021). KinesiOS: A Telerehabilitation and Functional Analysis System for Post-Stroke Physical Rehabilitation Therapies. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12950. Springer, Cham. https://doi.org/10.1007/978-3-030-86960-1_13
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