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- W3007550790 abstract "In this paper, the field programmable gate array (FPGA) implementation of a fetal heart rate (FHR) monitoring system is presented. The system comprises of a preprocessing unit to remove various types of noise, followed by a fetal electrocardiogram (FECG) extraction unit and an FHR detection unit. In order to improve the precision and accuracy of the arithmetic operations, a floating point unit is developed. A least mean squares algorithm based adaptive filter (LMS-AF) is used for the purpose of FECG extraction. Two different architectures, namely series and parallel, are proposed for the LMS-AF, with the series architecture targeting lower utilization of hardware resources, and the parallel architecture enabling less convergence time and lower power consumption. The results show that it effectively detects the R peaks in the extracted FECG with a sensitivity of 95.74% to 100% and a specificity of 100%. The parallel architecture shows upto 85.88% reduction in the convergence time for non-invasive FECG database while the series architecture shows 27.41% reduction in the number of flip flops used when compared with the existing FPGA implementations of various FECG extraction methods. It also shows an increase of 2 to 7.51% in accuracy when compared to previous works." @default.
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- W3007550790 date "2019-10-14" @default.
- W3007550790 modified "2023-09-25" @default.
- W3007550790 title "Efficient Implementation of LMS Adaptive Filter based FECG Extraction on an FPGA" @default.
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