ReviewComputers in biology and medicine2020
A review of computational approaches for evaluation of rehabilitation exercises.
Review in Computers in biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Use of Virtual Reality-Based Games to Improve Balance and Gait of Children and Adolescents with Sensorineural Hearing Loss: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2023Pooled it
- Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review.BMC musculoskeletal disorders · 2023Pooled it
- Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Review
- A Tightly Coupled Multibody Dynamics and Multi-Sensor Fusion Algorithm for Simultaneous Kinematics and Kinetics Estimation.Sensors (Basel, Switzerland) · 2026Article
- A Compensatory-Topology and Relay-Gating Graph Network for multimodal stroke rehabilitation assessment.Frontiers in physiology · 2026Article
- AI-Driven Motion Capture Data Recovery: A Comprehensive Review and Future Outlook.Sensors (Basel, Switzerland) · 2025Review
- Musculoskeletal Digital Therapeutics and Digital Health Rehabilitation: A Global Paradigm Shift in Orthopedic Care.Journal of clinical medicine · 2025Review
- Towards an RGB camera-based live repetition counter using auto correlation with action recognition for home rehabilitation.Scientific reports · 2025Article
- Automated Control of Rehabilitation Process in Physical Therapy Using a Novel Human Skeleton-Based Balanced Time Warping Algorithm.Sensors (Basel, Switzerland) · 2025Article
- Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.Annals of translational medicine · 2025Review
- Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis.BMC medical informatics and decision making · 2025Article
- Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives.Medical & biological engineering & computing · 2025Article
- Multimodal machine learning to predict response to ultrasound-guided botulinum and vibration therapy in muscle spasticity a clinical and imaging correlation study.Frontiers in bioengineering and biotechnology · 2025Article
- Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.Frontiers in digital health · 2025Article
- Robust skeletal motion tracking using temporal and spatial synchronization of two video streams.PloS one · 2025Article
- Integration of resistance exercise into a multimodal approach to prehabilitation for patients with sarcopenia prior to surgery: a narrative review.Frontiers in rehabilitation sciences · 2025Review
- Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person.Scientific reports · 2024Article
- Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Recent advances in data analytics and computer-aided diagnostics stimulate the vision of patient-centric precision healthcare, where treatment plans are customized based on the health records and needs of every patient. In physical rehabilitation, the progress in machine learning and the advent of affordable and reliable motion capture sensors have been conducive to the development of approaches for automated assessment of patient performance and progress toward functional recovery. The presented study reviews computational approaches for evaluating patient performance in rehabilitation programs using motion capture systems. Such approaches will play an important role in supplementing traditional rehabilitation assessment performed by trained clinicians, and in assisting patients participating in home-based rehabilitation. The reviewed computational methods for exercise evaluation are grouped into three main categories: discrete movement score, rule-based, and template-based approaches. The review places an emphasis on the application of machine learning methods for movement evaluation in rehabilitation. Related work in the literature on data representation, feature engineering, movement segmentation, and scoring functions is presented. The study also reviews existing sensors for capturing rehabilitation movements and provides an informative listing of pertinent benchmark datasets. The significance of this paper is in being the first to provide a comprehensive review of computational methods for evaluation of patient performance in rehabilitation programs.
Indexed as
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What OpenQuestion holds
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.