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A low-cost biomedical signal transceiver based on a Bluetooth wireless system.
Reza Fazel-Rezai1, Mark Pauls, David Slawinski
1Department of Electrical and Computer Engineering, the University of Manitoba, Canada and Institute of Biodiagnostics, National Research Council of Canada. fazel@ee.umanitoba.ca
Summary
This study introduces a low-cost wireless biomedical transceiver using Bluetooth technology. It enables reliable, long-range transmission of multiple electrocardiogram (ECG) signals for remote patient monitoring.
Area of Science:
- Biomedical Engineering
- Wireless Communication
- Signal Processing
Background:
- Current wireless biomedical signal transceivers often have limited communication range.
- There is a need for cost-effective and adaptable solutions for remote patient monitoring.
Purpose of the Study:
- To develop and demonstrate a low-cost wireless biomedical signal transceiver utilizing Bluetooth technology.
- To create a modular design adaptable to various biomedical signals.
- To assess the performance of the transceiver for transmitting multiple electrocardiogram (ECG) signals.
Main Methods:
- A modular transceiver design was implemented, featuring a signal front end for signal acquisition and processing.
- A microcontroller and wireless module were used for signal transmission.
- Near real-time receive software developed in LabVIEW was used to demonstrate system functionality.
- The prototype was tested for transmitting multiple ECG signals.
Main Results:
- The prototype successfully transmitted ECG signals, including multiple signals simultaneously.
- The transceiver achieved a sampling rate capable of transmitting up to thirteen ECG signals concurrently.
- Error rates were below 0.1% for transmissions exceeding 65 meters.
Conclusions:
- A low-cost, modular wireless biomedical transceiver using Bluetooth technology has been successfully developed.
- The system demonstrates reliable, long-range transmission of multiple biomedical signals, particularly ECG.
- This technology has significant potential for applications in real-time patient monitoring outside clinical settings.
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