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Research and Practice of Cardiopulmonary Rehabilitation Training Programs
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作者 Na Yan Maiding He +9 位作者 Jinyue Jiang Juan Luo Ping Zhan Xichan Wang Xia Gao Jianzhu Wang Na Yin Fang Ye Jinghua Yu Shiying Zhang 《World Journal of Cardiovascular Diseases》 CAS 2024年第9期557-566,共10页
In today’s society, the incidence of cardiopulmonary diseases is increasing annually, seriously affecting patients’ quality of life. Therefore, developing a scientific and effective rehabilitation training program i... In today’s society, the incidence of cardiopulmonary diseases is increasing annually, seriously affecting patients’ quality of life. Therefore, developing a scientific and effective rehabilitation training program is of great significance. This study first analyzes the theoretical basis of cardiopulmonary rehabilitation training, including the effects of aerobic exercise, interval training, and strength training on cardiopulmonary function. Based on this, a comprehensive rehabilitation training program is designed, which includes personalized training plans, comprehensive interventions, multidisciplinary collaboration, patient education, and regular follow-up visits. The cardiopulmonary rehabilitation training plan developed in this study has certain scientific practicability, which provides a theoretical basis for cardiopulmonary rehabilitation training, and also provides a reference for medical institutions, rehabilitation centers and communities, which is helpful for promotion and application to a wider range of patients with cardiopulmonary diseases. 展开更多
关键词 Cardiopulmonary Function rehabilitation training program Aerobic Exercise Interval training
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Intelligent model of rehabilitation training program for stroke
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作者 纪雯 王建辉 +1 位作者 方晓柯 顾树生 《Journal of Central South University》 SCIE EI CAS 2014年第2期629-635,共7页
In view of the uncertainty and complexity,the intelligent model of rehabilitation training program for stroke was proposed,combining with the case-based reasoning(CBR) and interval type-2 fuzzy reasoning(IT2FR).The mo... In view of the uncertainty and complexity,the intelligent model of rehabilitation training program for stroke was proposed,combining with the case-based reasoning(CBR) and interval type-2 fuzzy reasoning(IT2FR).The model consists of two parts:the setting model based on CBR and the feedback compensation model based on IT2FR.The former presets the value of rehabilitation training program,and the latter carries on the feedback compensation of the preset value.Experimental results show that the average percentage error of two rehabilitation training programs is 0.074%.The two programs are made by the intelligent model and rehabilitation physician.That is,the two different programs are nearly identical.It means that the intelligent model can make a rehabilitation training program effectively and improve the rehabilitation efficiency. 展开更多
关键词 intelligent model interval type-2 fuzzy reasoning case-based reasoning UNCERTAINTY rehabilitation training program STROKE
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