Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors-Reference-Cited by-同舟云学术

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Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors

Published:2021-02 Issue: Volume:173 Page:112799
ISSN:0956-5663
Container-title:Biosensors and Bioelectronics
language:en
Short-container-title:Biosensors and Bioelectronics

Author:

Chen Ang,Zhang Jianwei,Zhao Liangkai,Rhoades Rachel Diane,Kim Dong-Yun,Wu Ning,Liang Jianming,Chae Junseok

Publisher

Elsevier BV

Subject

Electrochemistry,Biomedical Engineering,General Medicine,Biophysics,Biotechnology

Reference47 articles.

1. Relation between changes of rib cage circumference and lung volume;Agostoni;J. Appl. Physiol.,1965

2. Non-Invasive detection of respiratory effort-related arousals (REras) by a nasal cannula/pressure transducer system;Ayappa;Sleep,2000

3. Relative contributions of the rib cage and the diaphragm to ventilation in man;Bergofsky;J. Appl. Physiol.,1964

4. Global and regional trends in COPD mortality, 1990-2010;Burney;Eur. Respir. J.,2015

5. Accuracy of respiratory inductive plethysmography during wakefulness and sleep in patients with obstructive sleep apnea;Cantineau;Chest,1992

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