ArticlePrecision radiation oncology2025
Development of a real-time multi-scenario monitoring method for respiratory motion based on capacitive sensors.
Article in Precision radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Ecological reshaping of pediatric respiratory pathogen profiles after COVID-19-related non-pharmaceutical interventions were lifted: a 5-year interrupted time-series study.Frontiers in pediatrics · 2026Article
- Development of a real-time multi-scenario monitoring method for respiratory motion based on capacitive sensors.Precision radiation oncology · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Purpose: This study aimed to improve the accuracy of the tumor radiotherapy dose and reduce the irradiation dose to the surrounding organs, by developing a versatile respiratory motion monitoring system with multi-scenario applications to enhance the clinical efficacy of radiotherapy for thoracic and abdominal tumors. Methods: The respiratory motion monitoring system comprised an airbag structure integrated with a parallel-plate capacitive sensor. The airbag comprised a polymer balloon encapsulated in a nonelastic flexible membrane, and had a projected area of 120 mm × 120 mm. The capacitive sensor adopts a concentric configuration of beryllium copper (thickness: 0.1 mm, diameter: 10 mm) and oxygen-free copper (thickness: 1 mm, diameter: 10 mm) foils. Real-time monitoring of the respiratory motion was achieved by detecting the capacitance variations corresponding to changes in the internal air pressure within the airbag. The system performance was rigorously evaluated using a dynamic thorax phantom capable of simulating various patterns, including sinusoidal and fourth-power cosine waveforms. Results: The capacitive sensor-based respiratory motion monitoring system demonstrated a displacement measurement range of up to 10 mm, capable of detecting movements as small as 0.1 mm (signal-to-noise ratio: 2.18). Real-time displacement conversion was performed using the fitted model Conclusion: Overall, this study developed a capacitive sensor and airbag-based respiratory monitoring system that combines the advantages of abdominal pressure belts with infrared-based monitoring technologies. This integrated approach offers a cost-effective, structurally simple, and versatile solution for monitoring respiratory motion across multiple clinical scenarios.
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