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May 31, 2015International journal of Computer Networks & Communications109 citationsOpen Access

Real Time Wireless Health Monitoring Application Using Mobile Devices

AAAmna AbdullahAIAsma IsmaelARAisha Rashid

Structured PICO

I
Intervention
Mobile device based wireless healthcare monitoring system (sensors, data acquisition unit, Arduino microcontroller, LabVIEW software)
O
Outcome
Accuracy of measuring and monitoring physiological data (temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG)

A mobile device-based wireless healthcare monitoring system using Arduino and LabVIEW can accurately measure and transmit real-time physiological data.

Abstract

In the last decade the healthcare monitoring systems have drawn considerable attentions of the researchers. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patients, who are either hospitalized or executing their normal daily life activities. In this work we present a mobile device based wireless healthcare monitoring system that can provide real time online information about physiological conditions of a patient. Our proposed system is designed to measure and monitor important physiological data of a patient in order to accurately describe the status of her/his health and fitness. In addition the proposed system is able to send alarming message about the patient's critical health data by text messages or by email reports. By using the information contained in the text or e-mail message the healthcare professional can provide necessary medical advising. The system mainly consists of sensors, the data acquisition unit, microcontroller (i.e., Arduino), and software (i.e., LabVIEW). The patient's temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG data are monitored, displayed, and stored by our system. To ensure reliability and accuracy the proposed system has been field tested. The test results show that our system is able to measure the patient's physiological data with a very high accuracy.

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Cite This Study

Abdullah et al. (2015) studied this question.

synapsesocial.com/papers/6a1e7fd85a76b87e099543c8https://doi.org/10.5121/ijcnc.2015.7302
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