4.7 Article

Exo-Abs: A Wearable Robotic System Inspired by Human Abdominal Muscles for Noninvasive and Effort-Synchronized Respiratory Assistance

期刊

IEEE TRANSACTIONS ON ROBOTICS
卷 38, 期 5, 页码 2994-3014

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TRO.2022.3167399

关键词

Muscles; Belts; Lung; Robots; Force; Abdomen; Electron tubes; Assistive technology; biologically inspired robots; biomedical engineering; human-robot augmentation; physical human-robot interaction; rehabilitation robotics

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资金

  1. National Research Foundation of Korea - Korean Government [NRF-2016R1A5A1938472]
  2. U.S. Office of Naval Research [N00014-19-1-2402]

向作者/读者索取更多资源

Existing technologies for patients with respiratory insufficiency have mainly focused on providing assistance in breathing, neglecting the need for assistance in other respiratory functions. This study proposes Exo-Abs, a wearable robotic system that can assist various respiratory functions by applying compensatory force to a user's abdomen. The system demonstrated significant improvement in breathing, coughing, and speaking functions by providing on-demand and self-reliant assistance to users.
Existing technologies for patients with respiratory insufficiency have focused on providing reliable assistance in their breathing. However, the need for assistance in other everyday respiratory functions, such as coughing and speaking, has remained unmet in these patients. Here, we propose Exo-Abs, a wearable robotic system that can universally assist wide-ranging respiratory functions by applying compensatory force to a user's abdomen in synchronization with their air usage. Inspired by how human abdominal muscles transmit pressure to the lungs via abdominal cavity compression, a biomechanically interactive platform was developed to optimally utilize the abdominal compression while aligning the assistance with a user's spontaneous respiratory effort. In addition to the compact form factor, thorough analytic procedures are described as initial steps toward taking the human respiratory system into the scope of robotics technology. We demonstrate the validity of the overall human-system interaction with the assistance performance under three essential respiratory functions: breathing, coughing, and speaking. Our results show that the system can significantly improve the performance of all these functions by granting on-demand and self-reliant assistance to its users.

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