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2019 | OriginalPaper | Chapter

Electrocardiogram System Performance Evaluation Based on the LabVIEW Virtual Instruments Development Platform

Author : Xiaoyi Zhou

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

Electrocardiogram (ECG) is a kind of electronic signal which represents the condition of hearts. In order to analyze the electrocardiogram accurately and efficiently, the ECG signal acquisition system based on the LabVIEW 2011 platform has been proposed in this paper. The interference signal could be alleviated by using the filtering module. The USB6210 data collection card which was designed by the NI Company is used for the collection of ECG signal. The signal acquisition module could be matched with the data acquisition (DAQ) module. Meanwhile, a mass of data could be storaged by the data storage module. The results show that the ECG collecting system which was designed in this paper is a marvelous system that could be widely used in recent decades.

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Literature
3.
go back to reference Xiang, X.F., Tian, Z.H., Zhang, Y.: LabVIEW Real-Time Architecture and Application Development, vol. 21, no.12, pp. 61–63 Xiang, X.F., Tian, Z.H., Zhang, Y.: LabVIEW Real-Time Architecture and Application Development, vol. 21, no.12, pp. 61–63
6.
go back to reference Urrusti, J.L., Tompkins, W.J.: Performance evaluation of an ECG QRS complex detection algorithm. In: Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, pp. 800–801 (1993). https://doi.org/10.1109/IEMBS.1993.978840 Urrusti, J.L., Tompkins, W.J.: Performance evaluation of an ECG QRS complex detection algorithm. In: Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, pp. 800–801 (1993). https://​doi.​org/​10.​1109/​IEMBS.​1993.​978840
Metadata
Title
Electrocardiogram System Performance Evaluation Based on the LabVIEW Virtual Instruments Development Platform
Author
Xiaoyi Zhou
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_231