Analysis of breathing via optoelectronic systems: comparison of four methods for computing breathing volumes and thoraco-abdominal motion pattern

Author:

Massaroni Carlo1,Senesi Guglielmo1,Schena Emiliano1,Silvestri Sergio1

Affiliation:

1. Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy

Funder

International Society of Biomechanics

Ministero dell'Istruzione, dell'Università e della Ricerca

Italian Ministry of Education and Research

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. A Method for Determining the Type of Human Breathing Based on Machine Learning;Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering;2023-08-02

3. Feasibility study on the use of a single digital camera for thoraco-abdominal pattern assessment;2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2023-06-06

4. Method for Determining the Dominant Type of Human Breathing Using Motion Capture and Machine Learning;Algorithms;2023-05-12

5. Smart Mattress Based on Multipoint Fiber Bragg Gratings for Respiratory Rate Monitoring;IEEE Transactions on Instrumentation and Measurement;2023

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