Abstract
The characterization of the heartbeat is one of the first and most important steps in the processing of the electrocardiogram (ECG) given that the results of the subsequent analysis depend on the outcome of this step. This characterization is computationally intensive, and both off-line and on-line (real-time) solutions to this problem are of great interest. Typically, one uses either multi-core processors or graphics processing units which can use a large number of parallel threads to reduce the computational time needed for the task. In this paper, we consider an alternative approach, based on the use of a dedicated hardware implementation (using a field-programmable gate-array (FPGA)) to solve a critical component of this problem, namely, the best-fit Hermite approximation of a heartbeat. The resulting hardware implementation is characterized using an off-the-shelf FPGA card. The single beat best-fit computation latency when using six Hermite basis polynomials is under \(0.5\,ms\) with a power dissipation of 3.1 W, demonstrating the possibility of true real-time characterization of heartbeats for online patient monitoring.
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Acknowledgments
We thank Xilinx University Program for the support given. This research was partially supported by the University CEU-San Pablo under project PPC12/2014. David G. Márquez is funded by an FPU Grant from the Spanish Ministry of Education (MEC) (Ref. AP2012-5053).
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Lakhotia, K., Caffarena, G., Gil, A., Márquez, D.G., Otero, A., Desai, M.P. (2016). Low-Power, Low-Latency Hermite Polynomial Characterization of Heartbeats Using a Field-Programmable Gate Array. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2016. Lecture Notes in Computer Science(), vol 9656. Springer, Cham. https://doi.org/10.1007/978-3-319-31744-1_24
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DOI: https://doi.org/10.1007/978-3-319-31744-1_24
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