Predicting Respiration Rate using Acceleration Sensors and LSTM: A novel Approach-Reference-Cited by-同舟云学术

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Predicting Respiration Rate using Acceleration Sensors and LSTM: A novel Approach

Published:2023-11-27 Issue: Volume:4 Page:584-589
ISSN:
Container-title:2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)
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Author:

Vu Hoang-Dieu¹,Tran Duc-Nghia²,Can Khanh-Ly¹,Dao To-Hieu¹,Pham Dinh-Dat¹,Le Dinh-Hieu³,Pham Quang-Tu¹,Tran Duc-Tan¹

Affiliation:

1. Phenikaa University, Yen Nghia,Faculty of Electrical and Electronic Engineering,Hanoi,Vietnam,12116

2. Institute of Information Technology,Vietnam Academy of Science and Technology,Hanoi,Vietnam

3. Hanoi University of Sciences and Technology,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10382256/10382242/10382329.pdf?arnumber=10382329

Reference19 articles.

1. Role of respiratory control mechanisms in the pathogenesis of obstructive sleep disorders

2. Estimating respiration rate using an accelerometer sensor

3. Increased amplitude modulation of continuous respiration precedes sudden infant death syndrome

4. Estimated prevalences of respiratory symptoms, asthma and chronic obstructive pulmonary disease related to detection rate in primary health care

5. Recent development of respiratory rate measurement technologies

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