Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Detection of Abnormalities in Fetal By Analyzing FECG

Author : Ashwitha. K Shetty 1 Dr. Jose Alex Mathew 2

Date of Publication :7th May 2016

Abstract: The main aim of this paper is to detect the Fetal heart rate. Fetal heart rate monitoring technique is important for obtaining the important information about the condition of the Fetal during pregnancy. This is obtained from the Fetal ECG Signal which is extracted from the composite Abdominal ECG. The reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of FECG signal from abdominal signals using powerful and advanced methods find wide applications in the field of biomedical. Here the primary noises are removed using various filtering techniques. Separation of FECG from Composite abdominal ECG signal is done using Least Mean Square (LMS) Adaptive Filtering technique and finally Fetal heart rate is detected.

Reference :

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    [2] Manish kansal, hardeep singh saini, dinesh arora “designing & fpga implementation of iir filter used for detecting clinical information from ECG”, international journal of engineering and advanced technology (ijeat) issn: 2249 – 8958, volume-1, issue1, october 2011.

    [3] Channappabhyri, kalpana.v, s.t.hamde, and l.m.waghmare “estimation of ECG features using labview”, international journal of computing science and communication technologies, vol. 2, no. 1, july 2009. (issn 0974-3375)

    [4] Digvijay j. Pawar, p. C. Bhaskar “fpga based fir filter design for enhancement of ECG signal by minimizing base- line drift interference”, international journal of current engineering and technology, vol.3, no.5 (december 2013).

    [5] Rupalimadhukarnarsale, dhanashrigawali and amitkulkarni “ fpga based design & implementation of low power fir filter for ECG


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