ArticleBMC sports science, medicine & rehabilitation2022
Unsupervised IMU-based evaluation of at-home exercise programmes: a feasibility study.
Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Feasibility and usability of a wearable sensor-based telerehabilitation program for home-based exercise in patients with lower limb amputation: a pilot study.Frontiers in rehabilitation sciences · 2026Article
- An Accessible AI-Assisted Rehabilitation System for Guided Upper Limb Therapy.Sensors (Basel, Switzerland) · 2025Article
- Validation of a Commercially Available IMU-Based System Against an Optoelectronic System for Full-Body Motor Tasks.Sensors (Basel, Switzerland) · 2025Article
- Validation of Low-Cost IMUs for Telerehabilitation Exercises.Sensors (Basel, Switzerland) · 2025Article
- Challenges and Prospects of Sensing Technology for the Promotion of Tele-Physiotherapy: A Narrative Review.Sensors (Basel, Switzerland) · 2024Review
- Wearable network for multilevel physical fatigue prediction in manufacturing workers.PNAS nexus · 2024Article
- Development of Wearable Devices for Collecting Digital Rehabilitation/Fitness Data from Lower Limbs.Sensors (Basel, Switzerland) · 2024Article
- Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops.Journal of neuroengineering and rehabilitation · 2024Article
- Correlation between proprioception, functionality, patient-reported knee condition and joint acoustic emissions.PloS one · 2024Article
- Assessment of an IMU-Based Experimental Set-Up for Upper Limb Motion in Obese Subjects.Sensors (Basel, Switzerland) · 2023Article
- Evaluation of Upper Body and Lower Limbs Kinematics through anSensors (Basel, Switzerland) · 2023Article
- Telemedicine-Rehabilitation and Virtual Reality in Orthopaedics and Sports Medicine.Indian journal of orthopaedics · 2023Review
- Article
- Proposal of an Alpine Skiing Kinematic Analysis with the Aid of Miniaturized Monitoring Sensors, a Pilot Study.Sensors (Basel, Switzerland) · 2022Article
- Unsupervised IMU-based evaluation of at-home exercise programmes: a feasibility study.BMC sports science, medicine & rehabilitation · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe benefits to be obtained from home-based physical therapy programmes are dependent on the proper execution of physiotherapy exercises during unsupervised treatment. Wearable sensors and appropriate movement-related metrics may be used to determine at-home exercise performance and compliance to a physical therapy program.
methodsA total of thirty healthy volunteers (mean age of 31 years) had their movements captured using wearable inertial measurement units (IMUs), after video recordings of five different exercises with varying levels of complexity were demonstrated to them. Participants were then given wearable sensors to enable a second unsupervised data capture at home. Movement performance between the participants' recordings was assessed with metrics of movement smoothness, intensity, consistency and control.
resultsIn general, subjects executed all exercises similarly when recording at home and as compared with their performance in the lab. However, participants executed all movements faster compared to the physiotherapist's demonstrations, indicating the need of a wearable system with user feedback that will set the pace of movement.
conclusionIn light of the Covid-19 pandemic and the imperative transition towards remote consultation and tele-rehabilitation, this work aims to promote new tools and methods for the assessment of adherence to home-based physical therapy programmes. The studied IMU-derived features have shown adequate sensitivity to evaluate home-based programmes in an unsupervised manner. Cost-effective wearables, such as the one presented in this study, can support therapeutic exercises that ought to be performed with appropriate speed, intensity, smoothness and range of motion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.