Patient Remote Monitoring System using IOT and ML
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Internet of things
sensors
health sector
ESP32
ESP8266
Thingspeak
healthcare
prediction
medicine
disease
appointment
historical data
microcontroller.
Abstract
The advancement of the Internet of Things (IoT) technology plays a major role in developing the health sector by making it much more reachable and desirable. The integration of IoT-cloud can play a vital purpose in the smart healthcare by offering deep understanding the healthcare content to support inexpensive and standard person care. Hence the combination of IoT and cloud helps in the betterment of quality of patient health care on a regular base integrated, processed the patient-data. Many physical devices capture transmit data, and provides data to various interoperability methods in IoT. The basic functionalities of IoT is for storage, display and communicate the information. Hence the e-Health monitoring system with IoT is adapted for distant patient monitoring on a continual basis and aggregated, analyzed the data. It can bring about a massive positive transformation in the field of eSmarthealth management for the rural or urban patients. This may help the people who wants or having good opinion on the technology diagnosis. This system can bring enormous variation in the Digital based health maintenance for patients. The Patient Remote Monitoring System involves a LM35 (temperature sensor),MAX-2000(Blood Pressure sensor),MAX30100(Oxygen level sensor),SEN11574(Pulse rate sensor) and ESP32 bit microcontroller to collect the biotic parameters from the patient's body and transmit the data to the Thingspeak via ESP8266 Wi-Fi module and that can be accessed by the doctor from the remote location for diagnosis and medication.
License
This work is licensed under a Creative
Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Monisha R | Dayananda Sagar Academy of Technology and Management |
| 2 | Ravishankar BP | Dayananda Sagar Academy of Technology and Management |
| 3 | Shylaja N | Dayananda Sagar Academy of Technology and Management |
| 4 | Suhail Ahmed Shariff | Dayananda Sagar Academy of Technology and Management |
| 5 | Shreenidhi B.S | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
R, Monisha, BP, Ravishankar, N, Shylaja, Shariff, Suhail Ahmed, & B.S, Shreenidhi (2021). Patient Remote Monitoring System using IOT and ML. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 532-539.
MLA Style
R, Monisha, et al. "Patient Remote Monitoring System using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2021, pp. 532-539.
IEEE Style
Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S, "Patient Remote Monitoring System using IOT and ML," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 532-539, 2021.
Vancouver Style
R Monisha, BP Ravishankar, N Shylaja, Shariff Suhail Ahmed, B.S Shreenidhi. Patient Remote Monitoring System using IOT and ML. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):532-539.
Harvard Style
R, Monisha, BP, Ravishankar, N, Shylaja, Shariff, Suhail Ahmed, & B.S, Shreenidhi (2021) 'Patient Remote Monitoring System using IOT and ML', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 532-539.
Chicago Style
R, Monisha, et al. "Patient Remote Monitoring System using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 532-539.
Turabian Style
R, Monisha, et al. "Patient Remote Monitoring System using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 532-539.
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