Abstract
This paper presents the design of a wireless data acquisition system to acquire and process physiological signals in real-time using Matlab. The system comprises two frameworks: hardware and software. The hardware consists of a wifi connection and four slots to plug in the sensors. The signal on each slot can be sampled at the user determined rate up to 4 K samples-per-second for a 16-bit resolution of maximum analog voltage of 2.5 V. The software is based on Matlab and includes four processing streams for each slot’s data and a graphic user interface comprising four data graphs and other settings. Each stream can be processed independently by user-defined algorithms for specific data in real-time. The system also saves all the data into a text file which can be stored, retrieved, viewed, and processed by other software. For testing purpose, three analog front-ends (ECG, EMG, and SPO2) were designed and connected to the system. All the system functions were tested and performed as expected. This low cost, flexible, and easy to use data acquisition system is very useful for biomedical data collection in ambulatory environment and real-time processing the signals in practical settings.
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References
EKG sensor at http://www.vernier.com/products/sensors/ekg-bta/
Shielded lead set at http://www.biopac.com/product/lead-set-shielded-bsl/
Reusable SPO2 probe at http://acaretechnology.en.taiwantrade.com.tw/product/reusable-spo2-probe-504161.html
Young SS (2001) Computerized data acquisition and analysis for the life sciences: a hands-on guide. Cambridge University Press, New York
Tan TH, Chang CS, Huang YF, Chen YF, Lee C (2011) Development of a portable linux-based ecg measurement and monitoring system, Vol 35. Springer, US, pp 559–569 (Journal of Medical Systems)
Kundu AS, Mazumder O, Bhaumik S (2011) Design of wearable, low power, single supply surface emg extractor unit for wireless monitoring. In: International Conference on Nanotechnology and Biosensors, Vol. 25. IPCBEE, Singapore, pp 69–74
Stojanovic R, Karadaglic D (2013) Design of an oximeter based on LED-LED configuration and FPGA technology. Sensors 13:574–586 MDPI
Acknowledgements
This work has been supported by grant No. 1161/QĐ-ĐHQG-KHCN of Vietnam National Universities—HCM City.
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Luu, L.G., Nguyen, N.P., Vo Van, T. (2018). Design a Customizable Low-Cost, Matlab Based Wireless Data Acquisition System for Real-Time Physiological Signal Processing. In: Vo Van, T., Nguyen Le, T., Nguyen Duc, T. (eds) 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) . BME 2017. IFMBE Proceedings, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-10-4361-1_52
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DOI: https://doi.org/10.1007/978-981-10-4361-1_52
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