Patient Health Monitoring System based on IoT using Raspberry Pi

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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Web based patient health monitoring system using Raspberry Pi

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) ◽

10.1109/ic3i.2016.7918028 ◽

2016 ◽

Cited By ~ 5

Author(s):

Dhiraj Sunehra ◽

Pini Ramakrishna

Keyword(s):

Monitoring System ◽

Health Monitoring ◽

Raspberry Pi ◽

Web Based ◽

Health Monitoring System ◽

Patient Health

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A Cloud-Based Patient Health Monitoring System Using the Internet of Things

Handbook of Research on Cloud Computing and Big Data Applications in IoT - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-8407-0.ch010 ◽

2019 ◽

pp. 188-201

Author(s):

R. Murugan

Keyword(s):

Internet Of Things ◽

Monitoring System ◽

Health Monitoring ◽

Raspberry Pi ◽

The Internet ◽

Android Application ◽

Great Opportunity ◽

Health Monitoring System ◽

Patient Health ◽

The Internet Of Things

To conquer medical carelessness, a novel framework will be created on the grounds that daily medicinal services are essential. This framework conveys equipment, and Android application, the pulse, temperature of body, dampness rate are detected by the sensor in equipment. There is a Raspberry pi over which this detected information is transferred. The system dependent on internet of things (IOT) is utilized for remotely getting to information. With the end goal to get to the information universally, IOT used to keep all refreshed data on pages, a great opportunity to put information on mists. There is an Android-based application that can get to information from server through wi-fi to give us a chance to see the detected information. On the off chance that any of the anomalies are discovered, those must be settled, so it will send message to tolerant and individual specialists.

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Health Monitoring System using Raspberry Pi and IOT

Oriental journal of computer science and technology ◽

10.13005/ojcst12.01.03 ◽

2019 ◽

Vol 12 (1) ◽

pp. 08-13 ◽

Cited By ~ 2

Author(s):

E. N. GANESH

Keyword(s):

Monitoring System ◽

Health Monitoring ◽

Medical Information ◽

Patient Data ◽

Sensor Data ◽

Raspberry Pi ◽

The Internet ◽

Health Monitoring System ◽

The World ◽

Patient Health

Health Monitoring system using IOT describes the collection and interoperation of Patient data collected from the sensors from the hospitals through IOT Technology. The collected sensor data will support the doctor in the emergency situation for the betterment and improvement of Patient health. The hardware platform to implement the project consists of a sensor and Raspberry Pi 3 Model B equipped in a way to communicate with a doctor through the Internet and Smart Phone. This proposed idea will help doctors to know about the state of patient health and monitor anywhere in the world. In this proposed idea the sensors gather the medical information of the patient that includes patient’s heart rate, blood pressure, and pulse rate Then using the camera the patient is livelily monitored through the Raspberry kit and this information is sent to the Internet and stored in a medical server. The doctor and patient can monitor the patient data from any place of the world through the provided IP server address anytime. The emergency alert is sent to the patient if the sensor value is exceeded by the threshold data. Thus the patient's health parameters are watched lively and regular monitoring through the medical server to a doctor will help to make an effective diagnosis and almost accurate care can be given. The data collected through the IOT will help the patient to recover easily and also enhanced medical care can be given to the patients at a low cost.

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