ArticleScientific data2025
A Knee Rehabilitation Exercises Dataset for Postural Assessment using Wearable Devices.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- A Sensor-Augmented Telerehabilitation System for Knee Osteoarthritis: A Randomized Controlled Trial of Neuromuscular, Functional, and Psychosocial Outcomes.Sensors (Basel, Switzerland) · 2025Trial
- Artificial Intelligence is a Useful Tool in Exercise Science and Sports Medicine.Medicine and science in sports and exercise · 2026Article
- Motion capture data of six jump-landings, fatigued and non-fatigued, after anterior cruciate ligament injury.Scientific data · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
This article introduces the KneE-PAD, which is a dataset consisting of knee rehabilitation exercises performed by 31 patients suffering from knee pathologies. In particular, a total of 267 patients were monitored over a 6-month period where they were asked to perform in physiotherapy centers without any supervision 3 common lower limb rehabilitation exercises (squats, leg extension and walking). At each participant a set of 8 sEMG and IMU sensors were placed at important lower limb muscle groups. After curating and grouping the wrongly executed exercises, 2 common wrong variations for each exercise were identified in 31 participants, while a total of 2,086 files are available with each one having an approximate duration of 4.2s. The goal of KneE-PAD is to be used for training machine learning algorithms for automatic postural assessment using only wearable sensors (sEMG and IMU), which could become a vital part of a virtual coach to supervise the patients and provide useful feedback to them while executing their prescribed rehabilitation exercises remotely.
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Registered trials
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