Literature DB >> 28750967

Joint amplitude MEMS based measurement platform for low cost and high accessibility telerehabilitation: Elbow case study.

Mauro Callejas-Cuervo1, Rafael M Gutierrez2, Andres I Hernandez2.   

Abstract

This paper, presents an inertial and magnetic sensor based technological platform, intended for articular amplitude monitoring and telerehabilitation processes considering an efficient cost/technical considerations compromise. The particularities of our platform offer possibilities of a high social impact by making telerehabilitation accessible to large population sectors in marginal socio-economic sectors, especially in underdeveloped countries where, in contrast to developed countries, specialists are scarce and high technology is not available or inexistent. This platform integrates high resolution low cost inertial and magnetic sensors with adequate user interfaces and communication protocols to perform a diagnostic service through the web, or other available communication networks. Elbow amplitude information is generated by sensors and then transferred to a computing device with adequate interfaces to make it accessible to inexperienced personnel, providing a high social value at a low cost. Experimental methodology includes two different sets of tests: the first one uses flexion - extension movements on a robotic arm to validate our platform (IMOCAP) articular amplitude measurements, against the robotic positioning system. The second set of tests was carried out on human patients to test IMOCAP in real operational conditions; results were validated with an optical positioning system. This paper presents experimental results showing the platform applicability to telerehabilitation processes.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Inertial and magnetic sensor; Measuring joint range of motion; Telerehabilitation; Upper limb

Mesh:

Year:  2016        PMID: 28750967     DOI: 10.1016/j.jbmt.2016.08.016

Source DB:  PubMed          Journal:  J Bodyw Mov Ther        ISSN: 1360-8592


  6 in total

1.  Integration of Inertial Sensors in a Lower Limb Robotic Exoskeleton.

Authors:  John Calle-Siguencia; Mauro Callejas-Cuervo; Sebastián García-Reino
Journal:  Sensors (Basel)       Date:  2022-06-16       Impact factor: 3.847

2.  A Kinematic Information Acquisition Model That Uses Digital Signals from an Inertial and Magnetic Motion Capture System.

Authors:  Andrea Catherine Alarcón-Aldana; Mauro Callejas-Cuervo; Teodiano Bastos-Filho; Antônio Padilha Lanari Bó
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

3.  Validity and reliability of inertial sensors for elbow and wrist range of motion assessment.

Authors:  Vanina Costa; Óscar Ramírez; Abraham Otero; Daniel Muñoz-García; Sandra Uribarri; Rafael Raya
Journal:  PeerJ       Date:  2020-08-11       Impact factor: 2.984

Review 4.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

5.  Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype.

Authors:  Mauro Callejas-Cuervo; Aura Ximena González-Cely; Teodiano Bastos-Filho
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

Review 6.  Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.

Authors:  Andrea Catherine Alarcón-Aldana; Mauro Callejas-Cuervo; Antonio Padilha Lanari Bo
Journal:  Sensors (Basel)       Date:  2020-10-22       Impact factor: 3.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.