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Biofeedback Respiratory Rehabilitation Training System Based on Virtual Reality Technology.
Shi, Lijuan; Liu, Feng; Liu, Yuan; Wang, Runmin; Zhang, Jing; Zhao, Zisong; Zhao, Jian.
Afiliação
  • Shi L; College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
  • Liu F; Jilin Provincial Key Laboratory of Human Health Status Identification Function & Enhancement, Changchun 130022, China.
  • Liu Y; Key Laboratory of Intelligent Rehabilitation and Barrier-Free for the Disabled, Changchun University, Ministry of Education, Changchun 130012, China.
  • Wang R; College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
  • Zhang J; College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
  • Zhao Z; College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
  • Zhao J; College of Electronic Information Engineering, Changchun University, Changchun 130022, China.
Sensors (Basel) ; 23(22)2023 Nov 07.
Article em En | MEDLINE | ID: mdl-38005413
ABSTRACT
Traditional respiratory rehabilitation training fails to achieve visualization and quantification of respiratory data in improving problems such as decreased lung function and dyspnea in people with respiratory disorders, and the respiratory rehabilitation training process is simple and boring. Therefore, this article designs a biofeedback respiratory rehabilitation training system based on virtual reality technology. It collects respiratory data through a respiratory sensor and preprocesses it. At the same time, it combines the biofeedback respiratory rehabilitation training virtual scene to realize the interaction between respiratory data and virtual scenes. This drives changes in the virtual scene, and finally the respiratory data are fed back to the patient in a visual form to evaluate the improvement of the patient's lung function. This paper conducted an experiment with 10 participants to evaluate the system from two aspects training effectiveness and user experience. The results show that this system has significantly improved the patient's lung function. Compared with traditional training methods, the respiratory data are quantified and visualized, the rehabilitation training effect is better, and the training process is more active and interesting.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biorretroalimentação Psicológica / Realidade Virtual Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biorretroalimentação Psicológica / Realidade Virtual Idioma: En Ano de publicação: 2023 Tipo de documento: Article