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’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.
Original language | English |
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Title of host publication | Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings |
Editors | Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 223-235 |
Number of pages | 13 |
ISBN (Print) | 9783030762278 |
DOIs | |
State | Published - 2021 |
Event | 7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online Duration: 1 Oct 2020 → 3 Oct 2020 |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 1410 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 7th Annual International Conference on Information Management and Big Data, SIMBig 2020 |
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City | Virtual, Online |
Period | 1/10/20 → 3/10/20 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- Android OpenCV
- Anterior cruciate ligament
- Image recognition
- Mobile application
- Rehabilitation