Internet-of-Things-Based Sensor Module for Respiratory Tracking System

Author:

Bhola Biswaranjan1,Kumar Raghvendra1ORCID,Priyadarshini Ishaani2,So-In Chakchai3ORCID,Padhy Tusharkanta4,Slowik Adam5ORCID,Gandomi Amir H.6ORCID

Affiliation:

1. Department of Computer Science and Engineering, GIET University, Gunupur, India

2. School of Information, UC Berkeley, Berkeley, CA, USA

3. Department of Computer Science, Applied Network Technology (ANT), College of Computing, Khon Kaen University, Khon Kaen, Thailand

4. Kamala Nehru Women’s College, Bhubaneswar, India

5. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

6. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IoT-Enabled Respiratory Pattern Monitoring in Critical Care: A Real-Time Recurrent Neural Network Approach;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

2. Flexible & transparent breath sensor and conducting electrodes based on a highly interconnected Au nanoparticle network;Sensors & Diagnostics;2024

3. Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

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