Automated evaluation of upper-limb motor function impairment using Fugl-Meyer assessment

S Lee, YS Lee, J Kim - IEEE Transactions on Neural Systems …, 2017 - ieeexplore.ieee.org
The Fugl-Meyer assessment (FMA) is the most popular instrument for evaluating upper
extremity motor function in stroke patients. However, it is a labor-intensive and time …

Motor Ability Evaluation of the Upper Extremity with Point‐To‐Point Training Movement Based on End‐Effector Robot‐Assisted Training System

J Jiang, S Guo, L Zhang, Q Sun - Journal of Healthcare …, 2022 - Wiley Online Library
Assessment is critical during the procedure of stroke rehabilitation. However, traditional
assessment methods are time‐consuming, laborious, and dependent on the skillfulness of …

The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical …

B Chinembiri, Z Ming, S Kai, Z Xiu Fang… - Topics in Stroke …, 2021 - Taylor & Francis
Most post-stroke patients experience upper limb functionality challenges. Emergent
therapies using upper limb-based robot machines present opportunities to resolve the …

An automatic rehabilitation assessment system for hand function based on leap motion and ensemble learning

C Li, L Cheng, H Yang, Y Zou, F Huang - Cybernetics and Systems, 2020 - Taylor & Francis
For stroke patients, hand function assessment is an important part of the hand rehabilitation
process. The hand function assessment, however, requires the patient to complete a series …

Occupational therapy assessment for upper limb rehabilitation: A multisensor-based approach

SS Mahmoud, Z Cao, J Fu, X Gu, Q Fang - Frontiers in Digital Health, 2021 - frontiersin.org
Most post-stroke patients experience varying degrees of impairment in upper limb function
and fine motor skills. Occupational therapy (OT) with other rehabilitation trainings is …

A multimodal fusion model for estimating human hand force: Comparing surface electromyography and ultrasound signals

Y Zou, L Cheng, Z Li - IEEE Robotics & Automation Magazine, 2022 - ieeexplore.ieee.org
Biomimetic robots have received significant attention in recent years. Among them, the
wearable exoskeleton, which imitates the functions of the musculoskeletal system to assist …

Upper limb rehabilitation system for stroke survivors based on multi-modal sensors and machine learning

S Miao, C Shen, X Feng, Q Zhu, M Shorfuzzaman… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, rehabilitation training for stroke survivors is mainly completed under the
guidance of the physician. There are various treatment ways, however, most of them are …

Time-varying effective connectivity for describing the dynamic brain networks of post-stroke rehabilitation

F Xu, Y Wang, H Li, X Yu, C Wang, M Liu… - Frontiers in Aging …, 2022 - frontiersin.org
Hemiplegia is a common motor dysfunction caused by a stroke. However, the dynamic
network mechanism of brain processing information in post-stroke hemiplegic patients has …

Prediction of motor outcome of stroke patients using a deep learning algorithm with brain MRI as input data

H Shin, JK Kim, YJ Choo, GS Choi, MC Chang - European neurology, 2022 - karger.com
Background: Deep learning techniques can outperform traditional machine learning
techniques and learn from unstructured and perceptual data, such as images and …

Support vector machine-based classifier for the assessment of finger movement of stroke patients undergoing rehabilitation

T Hamaguchi, T Saito, M Suzuki, T Ishioka… - Journal of Medical and …, 2020 - Springer
Purpose Traditionally, clinical evaluation of motor paralysis following stroke has been of
value to physicians and therapists because it allows for immediate pathophysiological …