ArticleSensors (Basel, Switzerland)2019
Verification of a Portable Motion Tracking System for Remote Management of Physical Rehabilitation of the Knee.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05668312 (Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement), which is not on this map. Cited by 26 papers, 1 of them a synthesis 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.
Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement: a Randomized Controlled Trial
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Internet-based digital interventions on rehabilitation for patients after anterior cruciate ligament reconstruction surgery: a systematic review and meta-analysis.BMC musculoskeletal disorders · 2026Pooled it
- The Effect of Tailored, Daily, Smartphone Feedback to Lifestyle Self-Monitoring on Weight Loss at 12 Months: the SMARTER Randomized Clinical Trial.Journal of medical Internet research · 2022Trial
- A Portable System for Remote Rehabilitation Following a Total Knee Replacement: A Pilot Randomized Controlled Clinical Study.Sensors (Basel, Switzerland) · 2020Trial
- Sensor-Based Movement Quality Assessment and Biofeedback for Rehabilitation Exercise: A Scoping Review with Implications for Home-Based and Remote Rehabilitation.Healthcare (Basel, Switzerland) · 2026Review
- Article
- A Novel Fabric Strain Sensor Array with Hybrid Deep Learning for Accurate Knee Movement Recognition.Micromachines · 2025Article
- Mobile Health (mHealth) for Chronic Low Back Pain Assessment: Design, Development, and Usability Evaluation.JOR spine · 2025Article
- Medical undergraduate students' awareness and perspectives on artificial intelligence: A developing nation's context.BMC medical education · 2025Article
- The Reliability and Validity of an Instrumented Device for Tracking the Shoulder Range of Motion.Sensors (Basel, Switzerland) · 2025Article
- Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review.Journal of medical Internet research · 2024Article
- A portable system to measure knee extensor spasticity after spinal cord injury.Journal of neuroengineering and rehabilitation · 2024Article
- Effect of Video Camera Angle on the Detection of Compensatory Movements during Motion Observation.Life (Basel, Switzerland) · 2023Article
- Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh.Pain medicine (Malden, Mass.) · 2023Article
- Biomechanical Phenotyping of Chronic Low Back Pain: Protocol for BACPAC.Pain medicine (Malden, Mass.) · 2023Article
- Can Wearable Sensors Provide Accurate and Reliable 3D Tibiofemoral Angle Estimates during Dynamic Actions?Sensors (Basel, Switzerland) · 2023Article
- Wearable Sensors and Smart Devices to Monitor Rehabilitation Parameters and Sports Performance: An Overview.Sensors (Basel, Switzerland) · 2023Review
- Acquisition of Lower-Limb Motion Characteristics with a Single Inertial Measurement Unit-Validation for Use in Physiotherapy.Diagnostics (Basel, Switzerland) · 2022Article
- A Comparison of Inertial Measurement Unit and Motion Capture Measurements of Tibiofemoral Kinematics during Simulated Pivot Landings.Sensors (Basel, Switzerland) · 2022Article
- A Taxonomy for Augmented and Mixed Reality Applications to Support Physical Exercises in Medical Rehabilitation-A Literature Review.Healthcare (Basel, Switzerland) · 2022Review
- A Portable Wearable Inertial System for Rehabilitation Monitoring and Evaluation of Patients With Total Knee Replacement.Frontiers in neurorobotics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Rehabilitation following knee injury or surgery is critical for recovery of function and independence. However, patient non-adherence remains a significant barrier to success. Remote rehabilitation using mobile health (mHealth) technologies have potential for improving adherence to and execution of home exercise. We developed a remote rehabilitation management system combining two wireless inertial measurement units (IMUs) with an interactive mobile application and a web-based clinician portal (interACTION). However, in order to translate interACTION into the clinical setting, it was first necessary to verify the efficacy of measuring knee motion during rehabilitation exercises for physical therapy and determine if visual feedback significantly improves the participant's ability to perform the exercises correctly. Therefore, the aim of this study was to verify the accuracy of the IMU-based knee angle measurement system during three common physical therapy exercises, quantify the effect of visual feedback on exercise performance, and understand the qualitative experience of the user interface through survey data. A convenience sample of ten healthy control participants were recruited for an IRB-approved protocol. Using the interACTION application in a controlled laboratory environment, participants performed ten repetitions of three knee rehabilitation exercises: heel slides, short arc quadriceps contractions, and sit-to-stand. The heel slide exercise was completed without feedback from the mobile application, then all exercises were performed with visual feedback. Exercises were recorded simultaneously by the IMU motion tracking sensors and a video-based motion tracking system. Validation showed moderate to good agreement between the two systems for all exercises and accuracy was within three degrees. Based on custom usability survey results, interACTION was well received. Overall, this study demonstrated the potential of interACTION to measure range of motion during rehabilitation exercises for physical therapy and visual feedback significantly improved the participant's ability to perform the exercises correctly.
Indexed as
Identifiers
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.