Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression

A wealth of information about respiratory system is encoded in the airflow signal. While direct measurement of airflow via spirometer with an occlusive seal is the gold standard, this may not be practical for ambulatory monitoring of patients. Advances in sensor technology have made measurement of m...

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Veröffentlicht in:	Computational statistics & data analysis 2022-10, Vol.174, p.107384, Article 107384
Hauptverfasser:	Huang, Whitney K., Chung, Yu-Min, Wang, Yu-Bo, Mandel, Jeff E., Wu, Hau-Tieng
Format:	Artikel
Sprache:	eng
Schlagworte:	abdomen air flow anesthesia data collection Gaussian process regression High-frequency physiological data normal distribution respiratory system seals sleep Synchrosqueezing transform Telemedicine thorax time series analysis Time-frequency analysis
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