Distributed Laser Therapy System

Keywords:
laser therapy, biomedical equipment, internet of things, neural network, artificial intelligence.

Abstract:
A distributed laser therapy system has been designed to allow laser practitioners to carry out low-level laser therapy (LLLT) and provide simple means to easily collect different laser therapy protocols along with the estimation of the therapy outcome. This article aims to present both the hardware and software design of the system and to discuss three different neural networks used to predict the outcome of the laser therapy, to recommend the laser parameters and to recognize the biological effects. It is concluded that the proposed system could successfully be applied for the collection of a large number of therapy protocols that could later be used for neural network training. Also, the trained neural networks could be easily employed to support the everyday work of laser therapy practitioners by providing different types of laser therapy recommendations.

CITATION:

IEEE format

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V. Ranđelović, A. Jevremović, “Distributed Laser Therapy System,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 120-127. doi:10.15308/Sinteza-2020-120-127

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Ranđelović, V., Jevremović, A. (2020). Distributed Laser Therapy System. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-120-127

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