Online detection of compensatory strategies in human movement with supervised classification: a pilot study

N Das, S Endo, S Patel, C Krewer… - Frontiers in …, 2023 - frontiersin.org
Introduction Stroke survivors often compensate for the loss of motor function in their distal
joints by altered use of more proximal joints and body segments. Since this can be …

A vision-based compensation detection approach during robotic stroke rehabilitation therapy

G Lin, W Wu, C Lin, Y Song, S Cai… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Compensation is a common phenomenon when stroke survivors perform rehabilitation
training, leading to suboptimal motor recovery. Previous compensation detection methods …

Exploring the Feasibility of Computer Vision for Detecting Post-Stroke Compensatory Movements

HP Lin, L Zhao, D Woolley, X Zhang… - 2023 International …, 2023 - ieeexplore.ieee.org
Compensatory movements are commonly observed post-stroke and can negatively affect
long-term motor recovery. In this context, a system that monitors movement quality and …

Automatic detection and reduction of compensation in stroke patients during robotic rehabilitation

S Cai, L Xie - 2023 9th International Conference on Control …, 2023 - ieeexplore.ieee.org
Rehabilitation robots offer promising clinical benefits, however, a critical concern is whether
patients can perform exercises correctly without therapist guidance. Patients with stroke, in …

Automatic detection of compensation during robotic stroke rehabilitation therapy

YX Zhi, M Lukasik, MH Li, E Dolatabadi… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Robotic stroke rehabilitation therapy can greatly increase the efficiency of therapy delivery.
However, when left unsupervised, users often compensate for limitations in affected muscles …

System for Detection and Quantitative Evaluation of Compensatory Movement in Post-stroke Patients Based on Wearable Sensor and Machine Learning Algorithm

K Ding, J Wang, X Wang, L Zhou, D Xiong… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
During upper limb rehabilitation training and assessment, compensatory movements can
significantly impede the recovery of motor function in stroke survivors. Current methods for …

A machine-learning model for automatic detection of movement compensations in stroke patients

S Kashi, RF Polak, B Lerner, L Rokach… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
During the process of rehabilitation after stroke, it is important that patients know how well
they perform their exercise, so they can improve their performance in future repetitions …

[HTML][HTML] Technology-based compensation assessment and detection of upper extremity activities of stroke survivors: systematic review

X Wang, Y Fu, B Ye, J Babineau, Y Ding… - Journal of Medical …, 2022 - jmir.org
Background Upper extremity (UE) impairment affects up to 80% of stroke survivors and
accounts for most of the rehabilitation after discharge from the hospital release …

Vision-based automatic detection of compensatory postures of after-stroke patients during upper-extremity robot-assisted rehabilitation: a pilot study in reaching …

Y Fu, X Wang, Z Zhu, J Tan, Y Zhao… - … on Assistive and …, 2020 - ieeexplore.ieee.org
Objectives: Compensations are commonly employed by stroke patients during robot-
assisted rehabilitation, leading to suboptimal recovery outcomes. This study investigated the …

Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors

S Cai, X Wei, E Su, W Wu, H Zheng, L Xie - Journal of neuroengineering …, 2020 - Springer
Background Compensations are commonly observed in patients with stroke when they
engage in reaching without supervision; these behaviors may be detrimental to long-term …