Research progress on intelligent assessment system for upper limb function of stroke patients / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 620-626, 2022.
Artigo
em Chinês
| WPRIM
| ID: wpr-939630
ABSTRACT
At present, the upper limb function of stroke patients is often assessed clinically using a scale method, but this method has problems such as time-consuming, poor consistency of assessment results, and high participation of rehabilitation physicians. To overcome the shortcomings of the scale method, intelligent upper limb function assessment systems combining sensors and machine learning algorithms have become one of the hot research topics in recent years. Firstly, the commonly used clinical upper limb functional assessment methods are analyzed and summarized. Then the researches on intelligent assessment systems in recent years are reviewed, focusing on the technologies used in the data acquisition and data processing parts of intelligent assessment systems and their advantages and disadvantages. Lastly, the current challenges and future development directions of intelligent assessment systems are discussed. This review is hoped to provide valuable reference information for researchers in related fields.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Modalidades de Fisioterapia
/
Acidente Vascular Cerebral
/
Extremidade Superior
/
Reabilitação do Acidente Vascular Cerebral
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2022
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS