A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks
To extend the use of wearable sensor networks for stroke patients training and assessment
in non-clinical settings, this paper proposes a novel remote quantitative Fugl-Meyer …
in non-clinical settings, this paper proposes a novel remote quantitative Fugl-Meyer …
Motor function assessment of upper limb in stroke patients
B Pan, Z Huang, T Jin, J Wu, Z Zhang… - Journal of Healthcare …, 2021 - Wiley Online Library
Background. Quantitative assessment of motor function is extremely important for poststroke
patients as it can be used to develop personalized treatment strategies. This study aimed to …
patients as it can be used to develop personalized treatment strategies. This study aimed to …
Objective assessment of upper-limb mobility for poststroke rehabilitation
Z Zhang, Q Fang, X Gu - IEEE Transactions on Biomedical …, 2015 - ieeexplore.ieee.org
The assessment of the limb mobility of stroke patients is an essential part of poststroke
rehabilitation. Conventionally, the assessment is manually performed by clinicians using …
rehabilitation. Conventionally, the assessment is manually performed by clinicians using …
Automatic upper-limb brunnstrom recovery stage evaluation via daily activity monitoring
Motor function assessment is crucial for post-stroke rehabilitation. Conventional evaluation
methods are subjective, heavily depending on the experience of therapists. In light of the …
methods are subjective, heavily depending on the experience of therapists. In light of the …
Exploration of human activity recognition using a single sensor for stroke survivors and able-bodied people
Commonly used sensors like accelerometers, gyroscopes, surface electromyography
sensors, etc., which provide a convenient and practical solution for human activity …
sensors, etc., which provide a convenient and practical solution for human activity …
Design of an integrated model for diagnosis and classification of pediatric acute leukemia using machine learning
Applying artificial intelligence techniques for diagnosing diseases in hospitals often provides
advanced medical services to patients such as the diagnosis of leukemia. On the other …
advanced medical services to patients such as the diagnosis of leukemia. On the other …
Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot
Y Hu, J Meng, G Li, D Zhao, G Feng, G Zuo, Y Liu… - Sensors, 2023 - mdpi.com
Robot-assisted rehabilitation therapy has been proven to effectively improve upper-limb
motor function in stroke patients. However, most current rehabilitation robotic controllers will …
motor function in stroke patients. However, most current rehabilitation robotic controllers will …
Ambient intelligence environment for home cognitive telerehabilitation
Higher life expectancy is increasing the number of age-related cognitive impairment cases. It
is also relevant, as some authors claim, that physical exercise may be considered as an …
is also relevant, as some authors claim, that physical exercise may be considered as an …
A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study
Background and objective Human-administered clinical scales, such as the Functional
Ability Scale of the Wolf Motor Function Test (WMFT-FAS), are widely utilized to evaluate …
Ability Scale of the Wolf Motor Function Test (WMFT-FAS), are widely utilized to evaluate …
A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography
L Liparulo, Z Zhang, M Panella, X Gu… - Medical & Biological …, 2017 - Springer
Clinical assessment plays a major role in post-stroke rehabilitation programs for evaluating
impairment level and tracking recovery progress. Conventionally, this process is manually …
impairment level and tracking recovery progress. Conventionally, this process is manually …