Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

Christian Ovalle, Wilver Auccahuasi, Sandra Meza, Franklin-Cordova-Buiza, Karin Rojas, Miryam2 Cosme, Miryam Inciso-Rojas, Gabriel Aiquipa, Hernando Martin Campos Martínez, Alfonso Fuentes, Aly Auccahuasi

Producción científica: Artículo CientíficoArtículo de la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented in proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body.

Idioma originalInglés estadounidense
Páginas (desde-hasta)1247-1256
-10
PublicaciónProcedia Computer Science
Volumen218
DOI
EstadoIndizado - 2022
Evento2022 International Conference on Machine Learning and Data Engineering, ICMLDE 2022 - Dehradun, India
Duración: 7 set. 20228 set. 2022

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Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V.

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