State of the Art Techniques for Transmission of FECG Signal using MIMO-OFDM
D.Preethi1, R. S Valarmathi2
1D.Preethi, Assistant Professor, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
2R.S Valarmathi, Senior Professor & Dean, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 39-44 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10171282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The fetal electrocardiogram (FECG) extracted during labor or prenatal phases of pregnancy should essentially contain precise information exclusive of noises that can help doctors. The major constraint in achieving the precise information is the interference of external noises with the maternal ECG (MECG). To circumvent such noises in biomedical data processing, FIR filters using array multiplier is employed. In order to compensate the higher delay and power dissipation modified HPM based modified booth multiplier is reviewed and validated along with rest of the multipliers for better performance and high speed operations. MIT-BIH Arrhythmia Database is used for carrying out the filtering process with the ECG signal information. In continuation to the filtering of noises, MIMO – OFDM transceivers are also validated for effective transmission of extracted FECG signals. The area and power dissipation are reduced by an extent to 80.4% while simulated in Xilinx ISE 9.1 and Cadence Virtuoso.
Keywords: Fetal Electrocardiogram, Programmable FIR Filters, Array Multiplier, HPM Based Modified Booth Multiplier, OFDM.
Scope of the Article: Signal and Image Processing