scholarly journals Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices

2018 ◽  
Vol 22 (Suppl 2) ◽  
pp. S76-82 ◽  
Author(s):  
Minhee Kang ◽  
Eunkyoung Park ◽  
Baek Hwan Cho ◽  
Kyu-Sung Lee
Keyword(s):  
Internet Of Things ◽  
Health Monitoring ◽  
Smart Devices ◽  
Patient Health ◽  
Recent Patient

scholarly journals Recent Patient Health Monitoring Platforms Incorporating Internet of Things-Enabled Smart Devices

2018 ◽  
Vol 22 (4) ◽  
pp. 313-313 ◽  
Author(s):  
Minhee Kang ◽  
Eunkyoung Park ◽  
Baek Hwan Cho ◽  
Kyu-Sung Lee
Keyword(s):  
Internet Of Things ◽  
Health Monitoring ◽  
Smart Devices ◽  
Patient Health ◽  
Recent Patient

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

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.

scholarly journals Internet of Things and Blockchain-based framework for Coronavirus (Covid-19) Disease

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Mobile Apps ◽  
Smart Devices ◽  
Growth Monitoring ◽  
Health Issues ◽  
Additional Insight ◽  
Infected People ◽  
Patient Health ◽  
Coronavirus Infection ◽  
The Internet Of Things

The COVID-19 is an exponentially growing disease that has intentioned nations to use technologies to detect the coronavirus infection. Several nations are working greatly to fight against COVID-19. Many nations have been using a range of devices to combat the pandemic, seeking information about growth, monitoring as well as the leaking the confidential information of the residents. This research aims to assist infected people online using the Internet of Things (IoT) and Blockchain technologies through smart devices. IoT-based healthcare devices gather useful information, provide additional insight through symptoms and behaviors, allow remote monitoring, and simply give people better self - determination and healthcare. Blockchain allows the secure transfer of patient health information, regulates the medical distribution network. A four-layer architecture is proposed using IoT and Blockchain to detect and prevent individuals to be COVID 19. This research provides a framework for patients with COVID-19 infectious disease and recognizes health issues and diagnoses online. Smart devices such as smartphones can install any mobile apps such as Aarogya Setu, Tawakkalna, and so on. These applications can track COVID-19 patients properly. The installation of mobile apps on smart devices focuses to reduce the time and cost and increase the performance of the infectious patient's condition. A four-layer architecture is proposed using IoT and Blockchain technologies. Many research works focus on investigating, analyzing, and highlighting the affected individuals through guiding the COVID-19 infection. Eventually, various mobile apps are recognized and addressed in this paper.

scholarly journals A Smart Way of Monitoring Health Using IOT-A Study

2020 ◽  
Vol 5 (9) ◽  
pp. 946-947
Author(s):  
Pratheksha Rai N
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Health Monitoring ◽  
Wireless Sensor ◽  
Smart Devices ◽  
Healthcare Applications ◽  
Health Monitoring System ◽  
The People ◽  
Wide Range ◽  
Smart Health

Health is the important key for any living. The monitoring of one’s health is so important in today’s busy world ,that most of the people run out of time when they get to know the disease, which actually is not fatal. Smart Health Monitoring system gives you a track of your health, making your work easier to know the data of your health without running every time to hospital. This paper is a study about Smart health Monitoring system using Internet of things (IOT).Internet of things plays An very prominent role in wide range of healthcare applications and it also serves as a catalyst for the healthcare. Smart devices and wireless sensor networks are used here for the analysis of different health parameters in real-time.

scholarly journals Internet of Things and Blockchain-based framework for Coronavirus (Covid-19) Disease

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Mobile Apps ◽  
Smart Devices ◽  
Growth Monitoring ◽  
Health Issues ◽  
Additional Insight ◽  
Infected People ◽  
Patient Health ◽  
Coronavirus Infection ◽  
The Internet Of Things

The COVID-19 is an exponentially growing disease that has intentioned nations to use technologies to detect the coronavirus infection. Several nations are working greatly to fight against COVID-19. Many nations have been using a range of devices to combat the pandemic, seeking information about growth, monitoring as well as the leaking the confidential information of the residents. This research aims to assist infected people online using the Internet of Things (IoT) and Blockchain technologies through smart devices. IoT-based healthcare devices gather useful information, provide additional insight through symptoms and behaviors, allow remote monitoring, and simply give people better self - determination and healthcare. Blockchain allows the secure transfer of patient health information, regulates the medical distribution network. A four-layer architecture is proposed using IoT and Blockchain to detect and prevent individuals to be COVID 19. This research provides a framework for patients with COVID-19 infectious disease and recognizes health issues and diagnoses online. Smart devices such as smartphones can install any mobile apps such as Aarogya Setu, Tawakkalna, and so on. These applications can track COVID-19 patients properly. The installation of mobile apps on smart devices focuses to reduce the time and cost and increase the performance of the infectious patient's condition. A four-layer architecture is proposed using IoT and Blockchain technologies. Many research works focus on investigating, analyzing, and highlighting the affected individuals through guiding the COVID-19 infection. Eventually, various mobile apps are recognized and addressed in this paper.

scholarly journals Smart health monitoring system based on internet of things with big data analytics and wireless networks

2018 ◽  
Vol 7 (1.7) ◽  
pp. 109 ◽  
Author(s):  
S Florence ◽  
C Shyamala Kumari ◽  
L LeemaPriyadharshini
Keyword(s):  
Internet Of Things ◽  
Human Body ◽  
Health Monitoring ◽  
Mobile Application ◽  
Food Habits ◽  
Health Sector ◽  
Big Data Analytics ◽  
Sensor Data ◽  
Smart Devices ◽  
Health Monitoring System

The use of mobile application technologies and smart devices in the health sector has improved a lot. In this sense health monitoring has evolved using Internet of Things. Nowadays the food habits are changed because of our machine life. This paper mainly focuses on the problems occurring related to health because of food habits. This paper gives the idea for solving this problem by collecting the attributes from the human body. The attributes like cholesterol, calories, glucose, pulse, weight, Body Mass Index, water level, temperature are to be collected from the person by fixing the wearable sensor devices in the human body. After getting these attributes the analysis should be done with the existing database for giving the food recommendations. The food intake level is analyzed for providing health factors. The aim of the paper is to provide the architecture for healthy food recommendations to the persons using sensor data to the person’s mobile application.

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