Abstract
The 8 - lead bipolar data acquisition system based on the ADS1298 is presented in this paper. This system represents the multichannel bio-amplifier capable of measuring various type of bioelectrical signals such as ECG, EOG, EMG and EEG. Thanks to the combination with the MCU and the USART – USB converter it is able to measure and send data into the PC. Firmware for MCU and software for PC are also presented in this article. The software for the PC represents graphical user interface designed to cooperate with the created hardware. The PC’s GUI allows real time plotting of sensed signal. It is also possible to set up data acquisition properties such as number of measured channels, sampling frequency, gain of channels, configuration of the RLD and the WCT block. End of the paper presents measurements of EMG, EOG, EEG and ECG. The article shows a way how to use the 8-channeled Data Acquisition Unit for the measurement of standard 12-lead ECG. The article also presents simultaneous measurement of the ECG by the developed device and the commercial BIOPAC MP36.
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References
Acharya, V.: Improving common-mode rejection using the right-leg drive amplifier. In: Texas Instruments, pp. 1–11 (2011)
De Luca, C.J., Gilmore, L.D., Kuznetsov, M., Roy, S.H.: Filtering the surface emg signal: movement artifact and baseline noise contamination. J. Biomech. 43(8), 1573–1579 (2010)
Gála, M., Babusiak, B.: Sleep EEG automatic analysis. IFAC Proc. Vol. 42(1), 242–247 (2009)
Gala, M., Mohylova, J.: Detection of k-complex in the EEG signal. In: World Congress on Medical Physics and Biomedical Engineering, 7–12 Sept 2009, Munich, Germany pp. 1170–1173. Springer (2009)
Hinestroza, J., Lias, A., Silva, R.: Development of a tele-ecg device. In: VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 Oct 2014, pp. 833–836. Springer (2015)
Host’oveckỳ, M., Babušiak, B.: Brain activity: beta wave analysis of 2d and 3d serious games using eeg. J. Appl. Math. Stat. Inf. 13(2), 39–53 (2017)
Karthikeyan, P., Murugappan, M., Yaacob, S.: Detection of human stress using short-term ecg and hrv signals. J. Mech. Med. Biol. 13(02), 1350,038 (2013)
McCrimmon, C.M., Fu, J.L., Wang, M., Lopes, L.S., Wang, P.T., Karimi-Bidhendi, A., Liu, C.Y., Heydari, P., Nenadic, Z., Do, A.H.: Performance assessment of a custom, portable, and low-cost brain-computer interface platform. IEEE Trans. Biomed. Eng. 64(10), 2313–2320 (2017)
Penhaker, M., Stankuš, M., Prauzek, M., Adamec, O., Peterek, T., Černỳ, M., Kašík, V.: Advanced experimental medical diagnostic system design and realization (2012)
Smondrk, M., Vozda, M., Krohova, J., Hrvolova, B., Peterek, T., Penhaker, M.: A comparison of success and time consumption of the most common methods for detection of the SSVEP. In: 2013 36th International Conference on Telecommunications and Signal Processing (TSP). IEEE (2013). https://doi.org/10.1109/tsp.2013.6614018, https://doi.org/10.1109/tsp.2013.6614018
Instruments, Texas: ADS1298 Datasheet, pp. 5–80. Dallas, Texas (2012)
Texas Instruments: ADS1298ECG-FE/ADS1198ECG-FE User’s Guide (2016)
Thakor, N.V.: Biopotentials and electrophysiology measurement. In: The Measurement, Instrumentation, and Sensors Handbook, vol. 74 (1999)
Usakli, A.B., Gurkan, S., Aloise, F., Vecchiato, G., Babiloni, F.: On the use of electrooculogram for efficient human computer interfaces. Comput. Intell. Neurosci. 2010, 1 (2010)
Webster, J.G.: Medical instrumentation application and design. Wiley (2009)
Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767–791 (2002)
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The work has been supported by the KEGA 011UCM-4/2018 grant.
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Bednár, T., Babušiak, B., Smetana, M. (2019). 8-Lead Bioelectrical Signals Data Acquisition Unit. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_44
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DOI: https://doi.org/10.1007/978-3-030-23762-2_44
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