Clinical Application Research on Stroke Situational Intelligent Rehabilitation Training System Based on Wearable...

Area of Science:

• Neurorehabilitation
• Biomedical engineering
• Physical therapy

Background:

• Advancements in intelligent sensing technology enable wearable devices for stroke rehabilitation.
• Wearable-based systems positively impact functional recovery and quality of life for stroke patients.

Purpose of the Study:

• To evaluate the application value of a contextualized intelligent rehabilitation training system for stroke survivors.
• To assess the system's effectiveness in improving motor function impairments post-stroke.

Main Methods:

• A randomized controlled trial with 100 stroke patients (50 control, 50 experimental).
• The experimental group used a wearable device-based intelligent rehabilitation system for 8 weeks (twice daily, 30 min sessions, 5 days/week).
• Primary outcomes included motor ability (Fugl-Meyer Assessment, FMA) and activities of daily living (Modified Barthel Index, MBI).

Main Results:

• No significant baseline differences in FMA and MBI scores between groups (p > 0.05).
• The experimental group showed significantly superior improvements in FMA and MBI scores after 8 weeks (p < 0.01).

Conclusions:

• Intelligent rehabilitation systems significantly enhance motor function and daily living activities in stroke survivors.
• These systems improve patient adherence and overall outcomes compared to traditional methods.