ResPara-Net: Respiration Parameter Estimation Using Wearable Single Inertial Measurement Unit Sensor and Deep Learning-Reference-Cited by-同舟云学术

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ResPara-Net: Respiration Parameter Estimation Using Wearable Single Inertial Measurement Unit Sensor and Deep Learning

Published:2024-08-01 Issue:15 Volume:24 Page:24931-24944
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Bhongade Amit¹^ORCID,Gupta Rohit²^ORCID,Prathosh A. P.³^ORCID,Gandhi Tapan Kumar¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

2. Department of Biomedical Engineering, SRM Institute of Science and Technology (IST), Kattankulathur, India

3. Department of Electrical Communication Engineering, Indian Institute of Science, Bengaluru, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10559790.pdf?arnumber=10559790

Reference56 articles.

1. The Preliminary Study of Unobtrusive respiratory monitoring for e-health

2. A novel method for the detection of apnea and hypopnea events in respiration signals

3. Ambulatory cardiopulmonary data capture

4. Autonomic activity in trauma patients based on variability of heart rate and respiratory rate*

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