Research on Integrating Respiratory Measurement and Biofeedback for Breathing Behavior Change
Date Issued
2012
Date
2012
Author(s)
Yu, Meng-Chieh
Abstract
Breathing is a natural and important physiological behavior for human beings. Research shows that appropriate and efficient breathing behavior can make people healthier both in body and body. In this study, the main research issues include the respiratory measurement and respiratory biofeedback. Combining the topic of respiratory measurement and respiratory biofeedback, four breathing behavior change systems were developed. Furthermore, experiments were carried out to evaluate the effectiveness of these systems, respectively.
For respiratory measurement, the respiratory inductance plethysmography (RIP) is used to measure user’s respiration status. In this system, a length-to-volume calibration procedure was proposed to estimate the respiratory volume from the movements of the body circumference. Then, the respiratory volume and respiratory conditions could be estimated. The respiratory patterns include the respiratory status (such as respiratory rate and respiratory depth) and respiratory methods (such as chest breathing and abdominal breathing). In addition, a computer vision-based respiratory measurement was developed to measure the morphological changes of chest wall region in real-time using a commercial depth camera. This measurement technique can measure user’s respiratory volume without any contact of his body, and the regional respiratory volumes could be measured, i.e. the respiratory volume of left lung, right lung, and abdomen. This system has been used in National Taiwan University Hospital for evaluating the lung functions of the patients with thoracotomy. Moreover, the system was evaluated and compared with a standard reference device, spirometer. The results show strong agreement in respiratory volume measurement in sitting position [correlation coefficient: r=0.966, p<0.01]. Furthermore, the OEP system was used as the reference measurement to measure the thoracic/abdominal volume of the user in the experiment.
For respiratory biofeedback, six functions of respiratory biofeedback are proposed, including the functions of reflection, guidance, evaluation, recording, analysis, and browsing. Besides, three respiratory biofeedback systems were developed to help users breathe well, including a skylight feedback system, a Chinese painting feedback system, and an interactive Mao-Kung Ting respiratory training system.
Integrating the techniques of respiratory measurement and the principles of respiratory biofeedback, four respiratory biofeedback systems were developed, including an abdominal breath learning system, a breath-aware sitting meditation system, a Breathwalk-aware walking meditation system, and a sleep monitoring system using depth camera. In each system, experiments were carried out to evaluate the effectiveness of these systems, respectively.
To conclude, this study focuses on the research issues of respiratory measurement and respiratory biofeedback, and develops a series of breathing behavior change systems. The goal of this study is to improve user’s breathing behaviors and toward the goal of preventive medicine.
Subjects
Respiratory Measurement
Biofeedback
Breathing Behavior Change
SDGs
Type
thesis
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