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Title: :  Patient Remote Monitoring System using IOT and ML with Mobile App
PaperId: :  14787
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-14787
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Monisha RDayananda Sagar Academy of Technology and Management
Ravishankar BPDayananda Sagar Academy of Technology and Management
Shylaja NDayananda Sagar Academy of Technology and Management
Suhail Ahmed ShariffDayananda Sagar Academy of Technology and Management
Shreenidhi B.SDayananda Sagar Academy of Technology and Management

Abstract

Computer Science and Engineering
Internet of Things, sensors, health-sector, ESP8266, Thingspeak, ESP32 bit, Operators, User interface, BLYNK, healthcare, cloud.
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.

Citations

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IJARIIE Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. "Patient Remote Monitoring System using IOT and ML with Mobile App" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 101-106
MLA Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. "Patient Remote Monitoring System using IOT and ML with Mobile App." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 101-106.
APA Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, & Shreenidhi B.S. (2021). Patient Remote Monitoring System using IOT and ML with Mobile App. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 101-106.
Chicago Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. "Patient Remote Monitoring System using IOT and ML with Mobile App." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 101-106.
Oxford Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. 'Patient Remote Monitoring System using IOT and ML with Mobile App', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 101-106. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Patient_Remote_Monitoring_System_using_IOT_and_ML_with_Mobile_App_ijariie14787.pdf (Accessed : 02 May 2022).
Harvard Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. (2021) 'Patient Remote Monitoring System using IOT and ML with Mobile App', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 101-106IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Patient_Remote_Monitoring_System_using_IOT_and_ML_with_Mobile_App_ijariie14787.pdf (Accessed : 02 May 2022)
IEEE Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S, "Patient Remote Monitoring System using IOT and ML with Mobile App," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 101-106, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Patient_Remote_Monitoring_System_using_IOT_and_ML_with_Mobile_App_ijariie14787.pdf [Accessed : 02 May 2022].
Turabian Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. "Patient Remote Monitoring System using IOT and ML with Mobile App." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (02 May 2022).
Vancouver Monisha R, Ravishankar BP, Shylaja N, Suhail Ahmed Shariff, and Shreenidhi B.S. Patient Remote Monitoring System using IOT and ML with Mobile App. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 02 May 2022]; 7(4) : 101-106. Available from: https://ijariie.com/AdminUploadPdf/Patient_Remote_Monitoring_System_using_IOT_and_ML_with_Mobile_App_ijariie14787.pdf
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