EFisioTrack: a Telerehabilitation Environment Based on Motion Recognition Using Accelerometry

Overview

Journal ScientificWorldJournal

Publisher Wiley

Specialty Biology

Date 2014 Feb 15

PMID 24526898

Citations 5

Authors

Daniel Ruiz-Fernandez

Oscar Marin-Alonso

Antonio Soriano-Paya

Joaquin D Garcia-Perez

Affiliations

Soon will be listed here.

Abstract

The growing demand for physical rehabilitation processes can result in the rising of costs and waiting lists, becoming a threat to healthcare services' sustainability. Telerehabilitation solutions can help in this issue by discharging patients from points of care while improving their adherence to treatment. Sensing devices are used to collect data so that the physiotherapists can monitor and evaluate the patients' activity in the scheduled sessions. This paper presents a software platform that aims to meet the needs of the rehabilitation experts and the patients along a physical rehabilitation plan, allowing its use in outpatient scenarios. It is meant to be low-cost and easy-to-use, improving patients and experts experience. We show the satisfactory results already obtained from its use, in terms of the accuracy evaluating the exercises, and the degree of users' acceptance. We conclude that this platform is suitable and technically feasible to carry out rehabilitation plans outside the point of care.

Citing Articles

Research Progress and Hot Topics in Telerehabilitation for Hip or Knee Arthroplasty.

Wang L, Zhang L, He C Orthop Surg. 2025; 17(3):677-693.

PMID: 39757734 PMC: 11872367. DOI: 10.1111/os.14347.

EFisioTrack System for Monitoring Therapeutic Exercises in Patients with Shoulder Orthopedic Injuries in a Hospital Setting: A Pilot Feasibility Study.

Hernandez-Sanchez S, Roses-Conde J, Martinez-Llorens N, Ruiz D, Espejo-Antunez L, Tomas-Rodriguez I Sensors (Basel). 2024; 24(15).

PMID: 39123945 PMC: 11314742. DOI: 10.3390/s24154898.

Exploring the top-cited literature in telerehabilitation for joint replacement using the descriptive, diagnostic, predictive, and prescriptive analytics model: A thematic and bibliometric analysis.

Chuang H, Ho S, Chou W, Tsai C Medicine (Baltimore). 2023; 102(48):e36475.

PMID: 38050200 PMC: 10695623. DOI: 10.1097/MD.0000000000036475.

Telemedicine-Rehabilitation and Virtual Reality in Orthopaedics and Sports Medicine.

Lal H, Mohanta S, Kumar J, Patralekh M, Lall L, Katariya H Indian J Orthop. 2023; 57(1):7-19.

PMID: 36660485 PMC: 9789228. DOI: 10.1007/s43465-022-00766-6.

Demonstration experiment of telemedicine using ultrasonography and telerehabilitation with 5G communication system in aging and depopulated mountainous area.

Saeki M, Oyama S, Yoneda H, Shimoda S, Agata T, Handa Y Digit Health. 2022; 8:20552076221129074.

PMID: 36262932 PMC: 9575445. DOI: 10.1177/20552076221129074.

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