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1.
J Phys Ther Sci ; 25(7): 873-5, 2013 Jul.
Article in English | MEDLINE | ID: mdl-24259873

ABSTRACT

[Purpose] This study set out to investigate the effects of leg immersion in warm water on pain, and stiffness of patients with stroke-induced chronic osteoarthritis. [Subjects] Forty-four patients with chronic stroke were randomly assigned to either the whirlpool group (n=24) or the control group (n=20). [Methods] Subjects in the whirlpool group immersed their legs in a whirlpool bath at 40 °C for 40 minutes 5 times a week for 8 weeks. The control group of patients was instructed to perform activities as usual without using a whirlpool bath. Pre-immersion and post-immersion measurements of the Western Ontario and McMaster University arthritis index (WOMAC)-pain and stiffness indexes were compared to determine the effects of the intervention. The paired t-test was performed to test the significance of differences before and after the experiment. The independent t-test was conducted in order to test the significance of differences between the whirlpool and control groups. Statistical significance was accepted for values of p<0.05. [Results] The WOMAC-pain score, and stiffness index were significantly lower after the intervention. [Conclusion] Immersion of the lower extremities in a whirlpool bath was beneficial for patients with chronic stroke-induced knee osteoarthritis.

2.
Stud Health Technol Inform ; 146: 745-6, 2009.
Article in English | MEDLINE | ID: mdl-19592958

ABSTRACT

The mouth is a part of the body for ingesting food that is the most basic foundation and important part. The dental pain predicted by the neural network model. As a result of making a predictive modeling, the fitness of the predictive modeling of dental pain factors was 80.0%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.


Subject(s)
Models, Theoretical , Neural Networks, Computer , Pain , Forecasting , Humans , Oral Health , Pain/etiology , Pain/prevention & control , Surveys and Questionnaires
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