Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning-Reference-Cited by-同舟云学术

Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning

Published:2023-08-18 Issue: Volume: Page:635-640
ISSN:
Container-title:2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
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Author:

Aghalya S.¹,Rao N. Venkatesvara²,Roy R. Reena³,Srinivasan C.⁴,Premi Godwin⁵

Affiliation:

1. St. Joseph’s College of Engineering, OMR,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. TJS Engineering College,Department of Computer Science and Engineering,Tamil Nadu,India,601206

3. Vellore Institute of Technology,School of Computer Science and Engineering,Tamil Nadu,India

4. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

5. Sathyabama Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391093/10391094/10391380.pdf?arnumber=10391380

Reference21 articles.

1. A Prototype of IoT-based Real-time Respiratory Rate Monitoring Using an Accelerometer Sensor

2. Surveillance Camera-based Cardio-respiratory Monitoring for Critical Patients in ICU

3. IoT in Patient Respiratory Condition & Oxygen Regulator's Flowrate Monitor

4. Review of Software Architectural styles for Artificial Intelligence systems

5. Diagnosis of respiratory diseases for children using machine learning

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