Fetus Electrocardiogram by using Neuro-Fuzzy Systems and Remote Sensing through OFDM
Pradeep Kumar1, A. Shiva Prasad2
1Dr. Pradeep Kumar, Associate Professor, Department of ECE, CMRIT, Hyderabad (Telangana), India.
2A. Shiva Prasad, Assistant Professor, Department of ECE, CMRIT, Hyderabad (Telangana), India.
Manuscript received on 04 September 2019 | Revised Manuscript received on 13 September 2019 | Manuscript Published on 26 October 2019 | PP: 1-3 | Volume-8 Issue-11S2 September 2019 | Retrieval Number: K100109811S219/2019©BEIESP | DOI: 10.35940/ijitee.K1001.09811S219
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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 fetus electrocardiogram (FECG) can be obtained after 21 days of pregnancy. It will be also useful as non-invasive technique to check whether women are pregnant or not. So early diagnosis can be done for any cardiac defects. The FECG segment from mother stomach recording and reference thoracic maternal electrocardiogram (MECG) signal is acquired by counterfeit neural system fluffy surmising framework (ANFIS). The wavelet change is utilized for upgrade. The symmetrical recurrence division multiplexing (OFDM) is helpful for transmission in remote detecting.
Keywords: OFDM, Neural Network, MECG, FECG, Fuzzy Logic, SNR, Wavelet Transform & Membership Function.
Scope of the Article: Fuzzy Logics