scholarly journals Health Monitoring System Using IoT and Raspberry Pi

2018 ◽  
Vol 7 (2) ◽  
pp. 188-192
Author(s):  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Raspberry Pi ◽  
Health Monitoring System

Smart real time health monitoring system using Arduino and Raspberry Pi

2021 ◽  
Author(s):  
Pronami Bora ◽  
P. Kanakaraja ◽  
B. Chiranjeevi ◽  
M. Jyothi Sri Sai ◽  
A. Jeswanth
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Raspberry Pi ◽  
Health Monitoring System

scholarly journals Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis

2020 ◽  
Vol 9 (4) ◽  
pp. 1809-1813
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Well Being ◽  
Raspberry Pi ◽  
Processing Unit ◽  
Patient Handling ◽  
Health Monitoring System ◽  
Sensor Module ◽  
Patient Health ◽  
Patient Will

Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop.

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