Title :
FPGA based non-invasive heart rate monitoring system for detecting abnormalities in Fetal
Author :
Rasu, R. ; Sundaram, P. Shanmuga ; Santhiyakumari, N.
Author_Institution :
ME- VLSI Design, Knowledge Inst. of Technol., Salem, India
Abstract :
The aim of this paper is to extract the Fetal Electrocardiogram (FECG) signal from the mother´s abdomen signal which is an important signal to analyze the abnormalities of the fetal heart by a physician. Fetal ECG is extracted from the mother´s abdomen by using least-mean-square (LMS) adaptive filter based on the FIR filter coefficients. This FECG is used to calculate the fetal heart beat and the period of the signal based on our estimation. By using this system FECG can be taken after the pregnancy of 20 weeks. To take FECG in real time, maternal woman should wear a wide belt around her abdomen which is fitted with several ECG electrodes. The data collected from the electrodes are sent to a system and then analyzed with the help of adaptive noise canceller algorithm, which is used to separate the signals. This separation is here done based on predefined values by using the Lab VIEW tool. And also the FIR filter has been designed and simulated using Xilinx ISE 12.1 and implemented in Spartan 3 Family FPGA.
Keywords :
FIR filters; adaptive filters; biomedical electrodes; biomedical electronics; data acquisition; data analysis; electrocardiography; feature extraction; field programmable gate arrays; least mean squares methods; medical disorders; medical signal detection; medical signal processing; obstetrics; patient monitoring; real-time systems; signal denoising; source separation; virtual instrumentation; ECG electrode; FECG signal extraction; FIR filter coefficient; FIR filter design; FIR filter simulation; FPGA based noninvasive heart rate monitoring system; LMS adaptive filter; LabVIEW tool; Spartan 3 Family FPGA; Xilinx ISE 12.1; adaptive noise canceller algorithm; data analysis; data collection; fetal ECG extraction; fetal electrocardiogram signal extraction; fetal heart abnormality detection; fetal heart beat calculation; least-mean-square adaptive filter; mother abdomen signal; pregnancy week; real time FECG acquisition; signal period calculation; signal separation; time 20 week; Adaptive filters; Electrocardiography; Field programmable gate arrays; Finite impulse response filters; Heart beat; Least squares approximations; Adaptive Algorithm; Fetal ECG; LabVIEW; Least Mean Square (LMS);
Conference_Titel :
Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on
Conference_Location :
Guntur
DOI :
10.1109/SPACES.2015.7058287
