Noninvasive Respiratory Monitoring Through Correlation of Thoracoabdominal Movements and Pressure Fluctuations

This study presents a novel, noninvasive system that quantifies thoracoabdominal respiratory movements and correlates them with back pressure fluctuations, advancing respiratory monitoring. A key contribution is the development of a method to measure the 3-D movements of the chest and abdomen using a 3-D motion capture system, enabling high-precision analysis of respiratory dynamics. In addition, another significant contribution of this work is the development of a novel correlation model that integrates the thoracoabdominal motion data with back pressure fluctuations recorded by a tactile sensor array. This integration represents a critical departure from previous research, which often examines these parameters in isolation. By linking back pressure fluctuations to respiratory displacements, our method facilitates noncontact, unobtrusive respiratory monitoring, offering a practical and patient friendly alternative to traditional contact-based techniques such as respiratory inductance plethysmography (RIP). Furthermore, this study identifies optimal regions for pressure monitoring, which enhances the system’s precision and usability for long-term monitoring in clinical and home environments. This step addresses a critical gap in the current literature, where practical implementation strategies are often overlooked. The results reveal a clear correlation between pressure fluctuations and respiratory movements, forming the basis for a model that can predict respiratory states. This system provides significant potential for practical application, offering a promising solution for reliable, unobtrusive respiratory monitoring in both clinical and home settings.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-02-26
DOI
https://doi.org/10.1109/jsen.2025.3543178
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Noninvasive Respiratory Monitoring Through Correlation of Thoracoabdominal Movements and Pressure Fluctuations

Song Yao, Shijie Guo, Bowen Liang
IEEE Sensors Journal
Non-Invasive Vital Sign Monitoring
article

Noninvasive Respiratory Monitoring Through Correlation of Thoracoabdominal Movements and Pressure Fluctuations

Song Yao, Shijie Guo, Bowen Liang
article en

Abstract

This study presents a novel, noninvasive system that quantifies thoracoabdominal respiratory movements and correlates them with back pressure fluctuations, advancing respiratory monitoring. A key contribution is the development of a method to measure the 3-D movements of the chest and abdomen using a 3-D motion capture system, enabling high-precision analysis of respiratory dynamics. In addition, another significant contribution of this work is the development of a novel correlation model that integrates the thoracoabdominal motion data with back pressure fluctuations recorded by a tactile sensor array. This integration represents a critical departure from previous research, which often examines these parameters in isolation. By linking back pressure fluctuations to respiratory displacements, our method facilitates noncontact, unobtrusive respiratory monitoring, offering a practical and patient friendly alternative to traditional contact-based techniques such as respiratory inductance plethysmography (RIP). Furthermore, this study identifies optimal regions for pressure monitoring, which enhances the system’s precision and usability for long-term monitoring in clinical and home environments. This step addresses a critical gap in the current literature, where practical implementation strategies are often overlooked. The results reveal a clear correlation between pressure fluctuations and respiratory movements, forming the basis for a model that can predict respiratory states. This system provides significant potential for practical application, offering a promising solution for reliable, unobtrusive respiratory monitoring in both clinical and home settings.

IEEE Sensors JournalVol. 25(7)
Hebei University of Technology (CN)
Zero hunger
Openalex Percentile: Top 97%
Non-Invasive Vital Sign Monitoring
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Noninvasive Respiratory Monitoring Through Correlation of Thoracoabdominal Movements and Pressure Fluctuations — Song Yao, Shijie Guo, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS