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Abdominal Breathing by Using an Intelligent Tutoring System

机译:使用智能辅导系统腹部呼吸

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摘要

With the growing number of aging population, abdominal breathing (AB) as a health-promoting exercise has claimed wide human interest. Especially in Asia, AB becomes a friendly practice in traditional medicine, for instance, a gentle spiritual exercise of Tai Chi Chuan , a combination of breathing exercise, relaxation and meditation of Chi Kung , and different yoga-type breathing patterns. Most of experienced mentors advise learners memorizing AB step by step. However, it is hard to retrieve for learners to practice AB by themselves. Within this paper, we present an iso-volume maneuver (TVM) tutoring system based on learning by doing for subjects to learn AB. During the IVM, subjects focus on the abdominal wall movement, and remember the AB pattern by observing respiratory signals in this system. The IVM tutoring system also measures the respiratory signals by respiratory inductive plethysmography and calculates the energy proportion of abdominal wall movement signals (E_(awm)) to evaluate the performance of AB learning. The higher E_(awm) represents the more correct practicing AB. A 50 subjects' experiment which divided subjects into TVM and non-IVM groups (learning AB with step by step instructions) is introduced in this study. Results indicate that IVM group has significant higher E_(awm) (59.5±6.0%) than the non-IVM group (51.6±10.4%). Therefore, the TVM group performs better AB than the non-IVM group. We conclude that the IVM tutoring system is efficient for individual to learn AB.
机译:随着人口越来越多的衰老,腹部呼吸(AB)作为健康促进运动,索赔人类兴趣广泛。特别是在亚洲,AB成为传统医学的友好实践,例如,太极拳的柔和精神锻炼,呼吸运动,放松和奇通冥想的组合,以及不同的瑜伽式呼吸图案。大多数经验丰富的导师建议学习者一步一步地记住ab。但是,很难检索学习者自己练习ab。在本文中,我们通过为学习AB进行学习而基于学习的ISO批量机动(TVM)辅导系统。在IVM期间,受试者专注于腹壁运动,并通过观察该系统中的呼吸信号来记住AB模式。 IVM辅导系统还通过呼吸感应体积描记法测量呼吸信号,并计算腹壁运动信号(E_(AWM))的能量比例,以评估AB学习的性能。越高的E_(AWM)代表更正确的实践AB。在本研究中介绍了将受试者分开到TVM和非IVM组的50个受试者实验(用逐步说明)。结果表明,IVM组具有比非IVM组(51.6±10.4%)的显着越来越高的E_(AWM)(59.5±6.0%)。因此,TVM组比非IVM组执行更好的AB。我们得出结论,IVM辅导系统对于个人学习AB有效。

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