Monitoring the fetal ECG (FECG) gives us important information about the fetal wellbeing. FECG is a complex waveform where each
of the P through T complexes provides wealth of information. The objective of this project is to develop the best state-of-art real-time
FECG monitoring system using embedded microprocessors. Many researchers from various fields like signal processing, artificial
intelligence, and advanced statistics, have applied different techniques to extract FECG from the mixture of MECG and other noises and
calculate the FHR, with accuracy as an objective. Most of them are calculation intensive and not real-time. The proposed approach focuses
mainly on real time processing, robustness and portability of the system. The work discussed here will provide a novel algorithm to
extract FECG from abdominal ECG (AECG) which is mixture of FECG, MECG, and noise, and finding Fetal FHR with less number of dimensions
(measurements) with the best signal-to-noise ratio. This approach is tested on different soft-core processors and results are compared
with other commercial of-the-shelf (COTS) hardcore solutions, in terms of power, cost, size and speed. In the end FECG was successfully
extracted and identified on the basis of BPM and SNR values calculated using this method. It was found that hard-core processor (ARM
Cortex A9) has achieved the best real-time performance among all. / A Thesis submitted to the Department of Electrical & Computer Engineering in partial fulfillment
of the requirements for the degree of Master of Science. / Fall Semester 2016. / November 22, 2016. / Eigenvectors, Embedded Systems, FECG, FPGA, Principle Component Analysis, System on Chip / Includes bibliographical references. / Uwe H. Meyer-Baese, Professor Directing Thesis; Simon Y. Foo, Committee Member; Shonda Bernadin,
Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_405678 |
| Contributors | Muddu, Harikrishna (authoraut), Meyer-Baese, Uwe H. (professor directing thesis), Foo, Simon Y. (committee member), Bernadin, Shonda Lachelle (committee member), Florida State University (degree granting institution), FAMU-FSU College of Engineering (degree granting college), Department of Electrical and Computer Engineering (degree granting departmentdgg) |
| Publisher | Florida State University, Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource (64 pages), computer, application/pdf |
| Rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. |
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