Evaluation and optimization of the effectiveness of intelligent devices in athletic injury rehabilitation training

People are prone to injuries during exercise, and effective rehabilitation training is crucial for restoring tissue function, reducing pain, and preventing further injuries. To more scientifically assist the injured in rehabilitation training, wearable intelligent devices can be used to assist the injured in diagnosing the sites of the injury, developing rehabilitation training plans, or providing training reminders. Firstly, the sites of the injuries are measured through sensors. Then, by inputting individual differences such as individual characteristics and physical health status into the device, a unique rehabilitation training plan is generated. Finally, the injured are urged and reminded through equipment to ensure that they can complete their rehabilitation plan on time and in the required amount. This can not only help the injured generate a scientific rehabilitation training plan in a timely and accurate manner, but also ensure the quality of rehabilitation training. Compared with traditional rehabilitation training, the score of using intelligent devices to assist the injured in rehabilitation training is higher than the score of traditional rehabilitation training, and the average score of rehabilitation training combined with intelligent devices is higher than 90 points. Intelligent devices can help injured individuals generate more scientific and effective rehabilitation training plans, while also supervising the execution of the plans. Intelligent devices have played a positive role in athletic injury rehabilitation training, helping injured individuals recover their health.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2024-12-24
DOI
https://doi.org/10.62617/mcb674
Citations
1
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.25
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article

Evaluation and optimization of the effectiveness of intelligent devices in athletic injury rehabilitation training

Lulu Yu
1 citations
Molecular & cellular biomechanics
Stroke Rehabilitation and Recovery
0.25
article

Evaluation and optimization of the effectiveness of intelligent devices in athletic injury rehabilitation training

Lulu Yu
article en
1 citations

Abstract

People are prone to injuries during exercise, and effective rehabilitation training is crucial for restoring tissue function, reducing pain, and preventing further injuries. To more scientifically assist the injured in rehabilitation training, wearable intelligent devices can be used to assist the injured in diagnosing the sites of the injury, developing rehabilitation training plans, or providing training reminders. Firstly, the sites of the injuries are measured through sensors. Then, by inputting individual differences such as individual characteristics and physical health status into the device, a unique rehabilitation training plan is generated. Finally, the injured are urged and reminded through equipment to ensure that they can complete their rehabilitation plan on time and in the required amount. This can not only help the injured generate a scientific rehabilitation training plan in a timely and accurate manner, but also ensure the quality of rehabilitation training. Compared with traditional rehabilitation training, the score of using intelligent devices to assist the injured in rehabilitation training is higher than the score of traditional rehabilitation training, and the average score of rehabilitation training combined with intelligent devices is higher than 90 points. Intelligent devices can help injured individuals generate more scientific and effective rehabilitation training plans, while also supervising the execution of the plans. Intelligent devices have played a positive role in athletic injury rehabilitation training, helping injured individuals recover their health.

Molecular & cellular biomechanicsVol. 21(4)
Eastern Liaoning University (CN)
Openalex Percentile: Top 35%
Stroke Rehabilitation and Recovery
0.25
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