Designing the low cost patient monitoring device (LCPMD) & Ubiquitous based Remote Health Monitoring and Health Management System using Tablet PC

2012 ◽  
Author(s):  
Deepshikha Goyal ◽  
Jai Bhaskar ◽  
Parvinder Singh
Keyword(s):  
Health Monitoring ◽  
Management System ◽  
Patient Monitoring ◽  
Health Management ◽  
Low Cost ◽  
Monitoring Device ◽  
Tablet Pc ◽  
Remote Health Monitoring ◽  
Remote Health

An Iot-Based Remote Health Monitoring and Management System

2014 ◽  
Vol 571-572 ◽  
pp. 1176-1179 ◽  
Author(s):  
Xiao Jing Meng ◽  
Huan Qing Cui ◽  
Rong Hua
Keyword(s):  
Internet Of Things ◽  
Health Monitoring ◽  
Service Provision ◽  
Management System ◽  
Healthcare Services ◽  
Remote Health Monitoring ◽  
Remote Health

With the development of economies, health has been paid more and more attention on in life. This paper introduces an Internet-of-Things-based health monitoring and management system, consisting of sensing, transportation, storage and application layers which have different functions. This system implements the health-monitoring and service-provision anywhere and anytime, and community-centered healthcare services.

Compact handheld low-cost biosensor platform for remote health monitoring

2016 ◽  
Author(s):  
J. Hastanin ◽  
C. Lenaerts ◽  
P. Gailly ◽  
H. Jans ◽  
C. Huang ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Low Cost ◽  
Remote Health Monitoring ◽  
Remote Health

scholarly journals Secure Remote Health Monitoring with Unreliable Mobile Devices

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Minho Shin
Keyword(s):  
Health Information ◽  
Health Monitoring ◽  
Information Quality ◽  
New Technologies ◽  
Risk Model ◽  
Low Cost ◽  
Sensor Data ◽  
Health Providers ◽  
Remote Health Monitoring ◽  
Remote Health

As the nation’s healthcare information infrastructure continues to evolve, new technologies promise to provide readily accessible health information that can help people address personal and community health concerns. In particular, wearable and implantable medical sensors and portable computing devices present many opportunities for providing timely health information to health providers, public health professionals, and consumers. Concerns about privacy and information quality, however, may impede the development and deployment of these technologies for remote health monitoring. Patients may fail to apply sensors correctly, device can be stolen or compromised (exposing the medical data therein to a malicious party), low-cost sensors controlled by a capable attacker might generate falsified data, and sensor data sent to the server can be captured in the air by an eavesdropper; there are many opportunities for sensitive health data to be lost, forged, or exposed. In this paper, we design a framework for secure remote health-monitoring systems; we build a realistic risk model for sensor-data quality and propose a new health-monitoring architecture that is secure despite the weaknesses of common personal devices. For evaluation, we plan to implement a proof of concept for secure health monitoring.

scholarly journals Light-weight and Low-cost HealthCare - A Cloud based BAN for Remote Health Monitoring

2018 ◽  
Vol 4 (1) ◽  
pp. 19-30
Author(s):  
Teena Hinesh Bachani ◽  
Himesh Kumar ◽  
Sana Hoor Jokhio ◽  
Imran Ali Jokhio
Keyword(s):  
Health Monitoring ◽  
Low Cost ◽  
Light Weight ◽  
Remote Health Monitoring ◽  
Remote Health

scholarly journals Research and Development of an IoT-Based Remote Asthma Patient Monitoring System

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Safayat Reza Anan ◽  
Md. Azizul Hossain ◽  
Md. Zubayer Milky ◽  
Mohammad Monirujjaman Khan ◽  
Mehedi Masud ◽  
...  
Keyword(s):  
Heart Rate ◽  
Research And Development ◽  
Monitoring System ◽  
Health Monitoring ◽  
Patient Monitoring ◽  
Remote Health Monitoring ◽  
User Friendliness ◽  
Asthmatic Patients ◽  
Cascading Style Sheets ◽  
Remote Health

This paper presents the research and development of an Internet of Things- (IoT-) based remote health monitoring system for asthmatic patients. Asthma is an inflammatory disease. Asthma causes the lungs to swell and get narrower, making it difficult to carry air in and out of the lungs. This situation makes breathing very difficult. Remote patient monitoring (RPM) is a method of collecting health-related data from patients who are in a remote location and electronically transmitting it to healthcare providers for evaluation and consultation. The aim of this study is to design a monitoring system that allows doctors to monitor asthmatic patients from a remote area. The proposed system will allow patients to measure oxygen saturation (SpO2), heart rate, body temperature, humidity, volatile gases, room temperature, and electrocardiogram (ECG) using various sensors, which will be displayed in an application. This data is then sent to the doctor to monitor the patient’s condition and suggest appropriate actions. Overall, the system consists of an Android application, a website, and various sensors. The Android studio and Java programming language were used to develop the application. For the frontend, the website was built using Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and jQuery. The system also uses Django, a Python-based open-source web framework, for the backend. The system developed the various sensors using an ESP8266 microcontroller compatible with the Arduino Integrated Development Environment (IDE). The system uses a MAX30100 pulse oximeter and heart rate sensor, a GY-906 MLX90614 noncontact precision thermometer, a DHT11 humidity and temperature sensor, a MQ-135 gas and air quality sensor, and an AD8232 ECG sensor for collecting various parameters that may trigger asthma attacks. Finally, the system developed the Asthma Tracker app and the Asthma Tracker website for remote health monitoring. The system was initially tested on demo patients and later deployed and tested on seven real human test subjects. Overall, the monitoring system produced satisfactory results. The data acquired by the sensors has a high level of accuracy. The system also maintained user-friendliness and low cost.

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