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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2026  > In Press, Accepted Manuscript
E. Shi, B. Zhang, X. Tan, Y. Zhou, B. Huo, L. Huang, L. Cheng, H. Liu, L. Liu, and X. Zhao, “A systematic review of respiratory monitoring and assistance techniques from a pulmonary rehabilitation robot perspective,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 2, pp. 1–22, Feb. 2026. doi: 10.1109/JAS.2026.125723
Citation: E. Shi, B. Zhang, X. Tan, Y. Zhou, B. Huo, L. Huang, L. Cheng, H. Liu, L. Liu, and X. Zhao, “A systematic review of respiratory monitoring and assistance techniques from a pulmonary rehabilitation robot perspective,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 2, pp. 1–22, Feb. 2026. doi: 10.1109/JAS.2026.125723
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A Systematic Review of Respiratory Monitoring and Assistance Techniques From a Pulmonary Rehabilitation Robot Perspective

doi: 10.1109/JAS.2026.125723
Funds:  This work was supported by the National Key Research and Development Project (2022YFB4703200)
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    Abstract
  • Pulmonary rehabilitation (PR) aims to improve lung function in patients with chronic respiratory disease (CRD). In recent years, significant advancements have been made in pulmonary rehabilitation technologies, demonstrating their potential for enhancing lung function in patients with respiratory diseases. The purpose of this study is to outline recent developments in the field of pulmonary rehabilitation guided by pulmonary rehabilitation robots, which has not been previously addressed in earlier reviews. To fill this gap, this paper first provides a systematic summary of the monitoring and actuation technologies of pulmonary rehabilitation robot systems and evaluates these technologies from multiple dimensions, including portability, wearability potential, invasiveness, and clinical applications, analyzing the potential for integrating various technologies into pulmonary rehabilitation robot systems. Furthermore, three technical directions are proposed: real-time precise monitoring, suitable structure and actuation strategies, and the intelligence of pulmonary rehabilitation robot systems. On the basis of these directions, this paper presents a comprehensive technical outlook for a soft wearable pulmonary rehabilitation robot system, providing reference and guidance for future research. To our knowledge, this is the first review of pulmonary rehabilitation robot systems and their key technologies. Additionally, the review section on respiratory assistive technologies simultaneously covers key technologies such as mechanical ventilation (MV), exoskeleton robots, and functional electrical stimulation (FES) for the first time. It also summarizes the respiratory assistive technology paradigm from the innovative perspectives of respiratory assistive modalities, targeted body sites, and types of ventilation for the first time. This study offers a broader perspective and a deeper understanding of pulmonary re-habilitation robots, with a technical outlook encompassing multimodal data fusion perception, respiratory event detection and intention recognition, full-phase assistance strategies, modeling, decoupling, and quantification of multiple-input multiple-output (MIMO) systems, as well as model-based interactive control strategies.

     

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