DocumentCode :
3411927
Title :
FPGA implementation of a fetal heart rate measuring system
Author :
Hatai, Indranil ; Chakrabarti, Indrajit ; Banerjee, Sean
Author_Institution :
E&ECE Dept., Indian Inst. of Technol. Kharagpur, Kharagpur, India
fYear :
2013
fDate :
19-21 Dec. 2013
Firstpage :
160
Lastpage :
164
Abstract :
Labor during pregnancy is an inherently dangerous life event for a live fetus and its mother. Non-invasive method of Fetal Heart Rate (FHR) measuring system helps to reduce Infant Mortality Rate (IMR) by continuous monitoring of the fetus heart rate. In this paper real-time implementation of a FHR measuring system has been developed using Xilinx Spartan-6 FPGA device, which can calculate the fetus heart rate and display ECG signal through HDMI port. In FHR extraction of the cleaned fetal ECG signal from the maternal ECG is the main challenge. In our proposed work Least Mean Square (LMS) adaptive filter has been used as the adaptive noise canceller along with dynamic thresholding technique for de-noising the fetus ECG signal and helps to achieve 88% accuracy in the proposed FHR system. FPGA implementation of the FHR system consumes 7.8K slices and can achieve sampling frequency of 80 MHz while implemented on XC6SLX45-3CSG484 FPGA device. The comparison results show that our proposed design is more efficient than the literature reported earlier.
Keywords :
adaptive filters; electrocardiography; feature extraction; field programmable gate arrays; least mean squares methods; medical signal processing; obstetrics; patient monitoring; signal denoising; signal sampling; FHR extraction; FHR measuring system; FPGA implementation; HDMI port; IMR; Infant Mortality Rate; LMS; Least Mean Square adaptive filter; XC6SLX45-3CSG484 FPGA device; Xilinx Spartan-6 FPGA device; adaptive noise canceller; continuous monitoring; dynamic thresholding technique; fetal ECG signal; fetal heart rate measuring system; fetus ECG signal denoising; fetus heart rate; frequency 80 MHz; live fetus; maternal ECG; mother; noninvasive method; pregnancy; real-time implementation; sampling frequency; Adaptive filters; Electrocardiography; Fetal heart rate; Finite impulse response filters; IIR filters; Least squares approximations; Adaptive Noise Canceller; Biomedical Signal Processing; ECG Signal; FHR System; FPGA Implementation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Electrical Engineering (ICAEE), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-2463-9
Type :
conf
DOI :
10.1109/ICAEE.2013.6750325
Filename :
6750325
Link To Document :
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