Raspberry Pi-Enabled Wearable Sensors for Personal Health Tracking and Analysis-Reference-Cited by-同舟云学术

Raspberry Pi-Enabled Wearable Sensors for Personal Health Tracking and Analysis

Published:2023-10-18 Issue: Volume: Page:
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Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

Karthika K.¹,Dhanalakshmi S.²,Murthy S. Murugeswari³,Mishra Nilamadhab⁴,Sasikala S.⁵,Murugan S.⁶

Affiliation:

1. KCG College of Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Sri Muthukumaran Institute of Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

3. Bharath Institute of Higher Education and Research,Department of Electronics and Communication,Chennai,Tamil Nadu,India

4. School of Computing Science and Engineering, VIT Bhopal University,Madhya Pradesh,India

5. Muthayammal Engineering College (Autonomous),Department of Computer Science and Engineering,Namakkal,Tamil Nadu,India

6. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Biomedical Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331909.pdf?arnumber=10331909

Reference15 articles.

1. Wearable sensors enable personalized predictions of clinical laboratory measurements

2. Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors

3. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis

4. Prediction of Alzheimer's disease using hybrid machine learning technique

5. Cloud Migration Meets Targeted Deadlines

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