Difference between revisions of "Projects:2013S2-U1 Wireless Electrocardiography System"
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The prototype we delivered need be able to perform several tasks: (1) Sensing and Data Acquisition: acquire the voltage signal generated by the test subject from textile electrodes, filter out the unwanted noise, amplify the signal to a manageable level, convert this analog signal to digital signal and connect to Bluetooth device for data transferring ; (2) Communication: package the data which is acquired from Analog Front End and transmit it to Android device wirelessly via Bluetooth; (3) Synchronisation and Visualisation: extract the received data package, create patient file and received data in database, plot real-time ECG waveform and review the patient history in log-file. | The prototype we delivered need be able to perform several tasks: (1) Sensing and Data Acquisition: acquire the voltage signal generated by the test subject from textile electrodes, filter out the unwanted noise, amplify the signal to a manageable level, convert this analog signal to digital signal and connect to Bluetooth device for data transferring ; (2) Communication: package the data which is acquired from Analog Front End and transmit it to Android device wirelessly via Bluetooth; (3) Synchronisation and Visualisation: extract the received data package, create patient file and received data in database, plot real-time ECG waveform and review the patient history in log-file. | ||
+ | =='''Outline of Individual Work'''== | ||
'''Sensing and Data Acquisition''' | '''Sensing and Data Acquisition''' | ||
Revision as of 19:46, 5 June 2014
Electrocardiography (ECG) is a standard diagnostic tool to investigate the conduction properties of the heart via sensors that are mounted on the body surface. The Wireless Electrocardiogram (ECG) is a medical telemetry instrument used to monitor a patient’s ECG signal while allow the user to remain fully mobile and comfortable. ECG measures small electrical signals from the patient’s chest caused by the heart beating. By using these signals stored in a single device, medical staff can monitor the patients’ well being and predict future heart problems. Using current ECG equipment can be a time-consuming task and changing wires also would introduce bacteria to the patient, further increasing the risk of infection. By using a wireless ECG, the patients will be more comfortable since they are free from unnecessary wires. The device is portable and does not require user interaction. Meanwhile, the visualisation in the Android application provides possible analysis for the hospital staff and the data is automatically synchronised and stored for future review.This project is motivated by the current state of wireless communication technology.
Project Information
This project aims to design and build a low cost electrocardiogram device which involves capturing heart signals via electrodes attached to the chest, amplifying,filtering and digitising them appropriately, and sending the data collected to a synchronised tablet for plotting and analysing. The project is a continuation of 2012 mid-year Final Year Project, where the initial prototype was designed. It consists of the hardware and software for a portable wireless electrocardiogram device, construction of textile electrodes, and a corresponding Android application which, together, displays and records the users heart signal. The aim of the thesis is to introduce the android platform and develop a android ECG application that works with the ECG monitoring device. The application will be used for the realisation that ECG data signals can be sent from the analog front end device via bluetooth communication.
System Overview
The prototype we delivered need be able to perform several tasks: (1) Sensing and Data Acquisition: acquire the voltage signal generated by the test subject from textile electrodes, filter out the unwanted noise, amplify the signal to a manageable level, convert this analog signal to digital signal and connect to Bluetooth device for data transferring ; (2) Communication: package the data which is acquired from Analog Front End and transmit it to Android device wirelessly via Bluetooth; (3) Synchronisation and Visualisation: extract the received data package, create patient file and received data in database, plot real-time ECG waveform and review the patient history in log-file.
Outline of Individual Work
Sensing and Data Acquisition
acquire the voltage signal generated by the test subject from textile electrodes, filter out the unwanted noise, amplify the signal to a manageable level, convert this analog signal to digital signal and connect to Bluetooth device for data transferring
Communication
package the data which is acquired from Analog Front End and transmit it to Android device wirelessly via Bluetooth
Synchronisation and Visualisation
The tablet Nexus 7 from previous team is used in this project, which is based on Android system Version 4.4.2. It contains 16GB internal storage,1GB RAM and 4.325Ah for the battery capacity(up to 10 hours). Large data storage and battery capacity can perform long time patient monitoring and data storing.