首页|First Affiliated Hospital of Zhejiang Chinese Medical University Reports Finding s in Artificial Intelligence (Effect of Upper Limb Repetitive Facilitative Exerc ise on Gait of Stroke Patients based on Artificial Intelligence and Computer Vis ion ...)
First Affiliated Hospital of Zhejiang Chinese Medical University Reports Finding s in Artificial Intelligence (Effect of Upper Limb Repetitive Facilitative Exerc ise on Gait of Stroke Patients based on Artificial Intelligence and Computer Vis ion ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Zhejiang, Peopl e’s Republic of China, by NewsRx editors, research stated, “This study aims to a ssess how enhancing upper limb function on the affected side of stroke influence s the gait of the lower limb. Forty eligible stroke patients were randomly assig ned to either a control group or a treatment group, with 20 patients in each gro up.” Our news journalists obtained a quote from the research from the First Affiliate d Hospital of Zhejiang Chinese Medical University, “Both groups underwent dynami c evaluation using artificial intelligence and computer vision before treatment. This evaluation focused on analyzing the range of motion of the shoulder and el bow during the gait cycle, as well as various gait parameters (such as step leng th, step speed, and percentage of stance phase) on the affected side. Following evaluation, the control group received routine rehabilitation treatment. The res ults indicated that there was no significant difference between the two groups b efore treatment. However, following treatment, there was a notable improvement i n the motion of the shoulder and elbow joints on the affected side among patient s in the treatment group (p <0.05), whereas the control gro up showed only slight improvement, which was not statistically significant (p > 0.05). The improvement in upper limb function on the affected side also appears to positively influence gait recovery. However, it’s important to note that the observation period was relatively short.”
ZhejiangPeople’s Republic of ChinaAs iaArtificial IntelligenceCerebrovascular Diseases and ConditionsComputersEmerging TechnologiesHealth and MedicineMachine LearningStroke
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