Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

Iam Contreras-Alcázar; Kreyh Contreras-Alcázar; Víctor Manuel Cornejo Aparicio

doi:10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

Iam Contreras-Alcázar, Kreyh Contreras-Alcázar, Víctor Manuel Cornejo Aparicio

Departamento Académico de Ingeniería de Sistemas e Informática

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

Idioma original	Inglés
Título de la publicación alojada	Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
Editores	Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	223-235
Número de páginas	13
ISBN (versión impresa)	9783030762278
DOI	https://doi.org/10.1007/978-3-030-76228-5_16
Estado	Publicada - 2021
Evento	7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online Duración: 1 oct. 2020 → 3 oct. 2020

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1410 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	7th Annual International Conference on Information Management and Big Data, SIMBig 2020
Ciudad	Virtual, Online
Período	1/10/20 → 3/10/20

Nota bibliográfica

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Acceder al documento

10.1007/978-3-030-76228-5_16

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Contreras-Alcázar, I., Contreras-Alcázar, K., & Cornejo Aparicio, V. M. (2021). Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. En J. A. Lossio-Ventura, J. C. Valverde-Rebaza, E. Díaz, & H. Alatrista-Salas (Eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings (pp. 223-235). (Communications in Computer and Information Science; Vol. 1410 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-76228-5_16

Contreras-Alcázar, Iam ; Contreras-Alcázar, Kreyh ; Cornejo Aparicio, Víctor Manuel. / Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. editor / Juan Antonio Lossio-Ventura ; Jorge Carlos Valverde-Rebaza ; Eduardo Díaz ; Hugo Alatrista-Salas. Springer Science and Business Media Deutschland GmbH, 2021. pp. 223-235 (Communications in Computer and Information Science).

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abstract = "Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient{\textquoteright}s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.",

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Contreras-Alcázar, I, Contreras-Alcázar, K & Cornejo Aparicio, VM 2021, Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. En JA Lossio-Ventura, JC Valverde-Rebaza, E Díaz & H Alatrista-Salas (eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Communications in Computer and Information Science, vol. 1410 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 223-235, 7th Annual International Conference on Information Management and Big Data, SIMBig 2020, Virtual, Online, 1/10/20. https://doi.org/10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. / Contreras-Alcázar, Iam; Contreras-Alcázar, Kreyh; Cornejo Aparicio, Víctor Manuel.
Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. ed. / Juan Antonio Lossio-Ventura; Jorge Carlos Valverde-Rebaza; Eduardo Díaz; Hugo Alatrista-Salas. Springer Science and Business Media Deutschland GmbH, 2021. p. 223-235 (Communications in Computer and Information Science; Vol. 1410 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

AU - Contreras-Alcázar, Iam

AU - Contreras-Alcázar, Kreyh

AU - Cornejo Aparicio, Víctor Manuel

PY - 2021

Y1 - 2021

N2 - Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

AB - Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

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Contreras-Alcázar I, Contreras-Alcázar K, Cornejo Aparicio VM. Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. En Lossio-Ventura JA, Valverde-Rebaza JC, Díaz E, Alatrista-Salas H, editores, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 223-235. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

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