Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System

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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Internet of Things Based Patient Health Monitoring System Using Wearable Biomedical Device

2018 International Conference on Innovation in Engineering and Technology (ICIET) ◽

10.1109/ciet.2018.8660846 ◽

2018 ◽

Cited By ~ 1

Author(s):

Zia Uddin Ahmed ◽

Mohammad Golam Mortuza ◽

Mohammed Jashim Uddin ◽

Md. Humayun Kabir ◽

Md. Mahiuddin ◽

...

Keyword(s):

Internet Of Things ◽

Monitoring System ◽

Health Monitoring ◽

Health Monitoring System ◽

Biomedical Device ◽

Patient Health

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Internet of things-based cloud computing platform for analyzing the physical health condition

Technology and Health Care ◽

10.3233/thc-213003 ◽

2021 ◽

pp. 1-15

Author(s):

Mengyao Cui ◽

Seung-Soo Baek ◽

Rubén González Crespo ◽

R. Premalatha

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Health Monitoring ◽

Tracking System ◽

Disease Diagnosis ◽

Health Condition ◽

Computing Platform ◽

Concept Model ◽

Patient Health ◽

Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

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