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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.
Sec. Biosensors and Biomolecular Electronics
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1436702
This article is part of the Research Topic Biomedical Sensing in Assistive Devices View all articles

Evaluation and Modeling of Diaphragm Displacement Using Ultrasound Imaging for Wearable Respiratory Assistive Robot

Provisionally accepted
Yan Zhang Yan Zhang 1Danye Li Danye Li 2Fengyao Zhang Fengyao Zhang 1Zongyu Wang Zongyu Wang 3Lei Xue Lei Xue 3Xiaolu Nan Xiaolu Nan 1Nianming Li Nianming Li 1Xilai Tan Xilai Tan 1Weidong Guo Weidong Guo 1Yuru Zhang Yuru Zhang 1Hongmei Zhao Hongmei Zhao 2*Qinggang Ge Qinggang Ge 3*Dangxiao Wang Dangxiao Wang 1*
  • 1 Beihang University, Beijing, Beijing Municipality, China
  • 2 China-Japan Friendship Hospital, Beijing, Beijing Municipality, China
  • 3 Peking University Third Hospital, Haidian, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Assessing the influence of respiratory assistive devices on the diaphragm mobility is essential for advancing patient care and improving treatment outcomes. Existing respiratory assistive robots have not yet effectively assessed their impact on diaphragm mobility. In this study, we introduce for the first time a non-invasive, real-time clinically feasible ultrasound method to evaluate the impact of soft wearable robots on diaphragm displacement.We measured and compared diaphragm displacement and lung volume in eight participants during both spontaneous and robotic-assisted respiration. Building on these measurements, we proposed a human-robot coupled two-compartment respiratory mechanics model that elucidates the underlying mechanism by which our extracorporeal wearable robots augments respiration. Specifically, the soft robot applies external compression to the abdominal wall muscles, inducing their inward movement, which consequently pushes the diaphragm upward and enhances respiratory function. Finally, we investigated the level and shape of various robotic assistive forces on diaphragm motion.Results: This robotic intervention leads to a significant increase in average diaphragm displacement by 1.95 times and in lung volume by 2.14 times compared to spontaneous respiration. Furthermore, the accuracy of the proposed respiratory mechanics model is confirmed by the experimental results, with less than 7% error in measurements of both diaphragm displacement and lung volume. Finally, the magnitude of robotic assistive forces positively correlates with diaphragm movement, while the shape of the forces shows no significant relationship with diaphragm activity.Our experimental findings validate the effective assistance mechanism of the proposed robot, which enhances diaphragm mobility and assists in ventilation through extracorporeal robotic intervention. This robotic system can assist with ventilation while increasing diaphragm mobility, potentially resolving the issue of diaphragm atrophy. Additionally, this work paves the way for improved robotic designs and personalized assistance, tailored to the dynamics of the diaphragm in respiratory rehabilitation.

    Keywords: Soft robot application, assistive robot, Respiratory assistance, Diaphragm ultrasonography, Soft exoskeleton

    Received: 22 May 2024; Accepted: 27 Jun 2024.

    Copyright: © 2024 Zhang, Li, Zhang, Wang, Xue, Nan, Li, Tan, Guo, Zhang, Zhao, Ge and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Hongmei Zhao, China-Japan Friendship Hospital, Beijing, 100029, Beijing Municipality, China
    Qinggang Ge, Peking University Third Hospital, Haidian, 100191, Beijing Municipality, China
    Dangxiao Wang, Beihang University, Beijing, 100083, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.