Custom FPGA Processing for Real-Time Fetal ECG Extraction and Identification
Abstract Monitoring the fetal cardiac activity during pregnancy is of crucial importance for evaluating fetus health. However, there is a lack of automatic and reliable methods for Fetal ECG (FECG) monitoring that can perform this elaboration in real-time. In this paper, we present a hardware archit...
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| description | Abstract Monitoring the fetal cardiac activity during pregnancy is of crucial importance for evaluating fetus health. However, there is a lack of automatic and reliable methods for Fetal ECG (FECG) monitoring that can perform this elaboration in real-time. In this paper, we present a hardware architecture, implemented on the Altera Stratix V FPGA, capable of separating the FECG from the maternal ECG and to correctly identify it. We evaluated our system using both synthetic and real tracks acquired from patients beyond the 20th pregnancy week. This work is part of a project aiming at developing a portable system for FECG continuous real-time monitoring. Its characteristics of reduced power consumption, real-time processing capability and reduced size make it suitable to be embedded in the overall system, that is the first proposed exploiting Blind Source Separation with this technology, as the best of our knowledge. |
| doi_str_mv | 10.1016/j.compbiomed.2016.11.006 |
| format | Article |
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However, there is a lack of automatic and reliable methods for Fetal ECG (FECG) monitoring that can perform this elaboration in real-time. In this paper, we present a hardware architecture, implemented on the Altera Stratix V FPGA, capable of separating the FECG from the maternal ECG and to correctly identify it. We evaluated our system using both synthetic and real tracks acquired from patients beyond the 20th pregnancy week. This work is part of a project aiming at developing a portable system for FECG continuous real-time monitoring. Its characteristics of reduced power consumption, real-time processing capability and reduced size make it suitable to be embedded in the overall system, that is the first proposed exploiting Blind Source Separation with this technology, as the best of our knowledge.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2016.11.006</identifier><identifier>PMID: 27888794</identifier><identifier>CODEN: CBMDAW</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Algorithms ; Biomedical instrumentation ; Cluster Analysis ; Colleges & universities ; Digital signal processors ; Electrocardiography - methods ; Embedded systems ; Female ; Fetal ECG ; Fetal Monitoring - methods ; Fetus - physiology ; Fetuses ; Field programmable gate array (FPGA) ; Field programmable gate arrays ; Heart rate ; Humans ; Internal Medicine ; Morphology ; Neural networks ; Other ; Pregnancy ; Signal Processing, Computer-Assisted ; Wavelet transforms</subject><ispartof>Computers in biology and medicine, 2017-01, Vol.80, p.30-38</ispartof><rights>Elsevier Ltd</rights><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jan 01, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-a0860c1a3dc0b5edc448dee7516f3d2092a2dce95953de72819bba6197338fd53</citedby><cites>FETCH-LOGICAL-c490t-a0860c1a3dc0b5edc448dee7516f3d2092a2dce95953de72819bba6197338fd53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0010482516303006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27888794$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Torti, E</creatorcontrib><creatorcontrib>Koliopoulos, D</creatorcontrib><creatorcontrib>Matraxia, M</creatorcontrib><creatorcontrib>Danese, G</creatorcontrib><creatorcontrib>Leporati, F</creatorcontrib><title>Custom FPGA Processing for Real-Time Fetal ECG Extraction and Identification</title><title>Computers in biology and medicine</title><addtitle>Comput Biol Med</addtitle><description>Abstract Monitoring the fetal cardiac activity during pregnancy is of crucial importance for evaluating fetus health. However, there is a lack of automatic and reliable methods for Fetal ECG (FECG) monitoring that can perform this elaboration in real-time. In this paper, we present a hardware architecture, implemented on the Altera Stratix V FPGA, capable of separating the FECG from the maternal ECG and to correctly identify it. We evaluated our system using both synthetic and real tracks acquired from patients beyond the 20th pregnancy week. This work is part of a project aiming at developing a portable system for FECG continuous real-time monitoring. 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Academic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Computers in biology and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Torti, E</au><au>Koliopoulos, D</au><au>Matraxia, M</au><au>Danese, G</au><au>Leporati, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Custom FPGA Processing for Real-Time Fetal ECG Extraction and Identification</atitle><jtitle>Computers in biology and medicine</jtitle><addtitle>Comput Biol Med</addtitle><date>2017-01-01</date><risdate>2017</risdate><volume>80</volume><spage>30</spage><epage>38</epage><pages>30-38</pages><issn>0010-4825</issn><eissn>1879-0534</eissn><coden>CBMDAW</coden><abstract>Abstract Monitoring the fetal cardiac activity during pregnancy is of crucial importance for evaluating fetus health. 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| ispartof | Computers in biology and medicine, 2017-01, Vol.80, p.30-38 |
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| subjects | Algorithms Biomedical instrumentation Cluster Analysis Colleges & universities Digital signal processors Electrocardiography - methods Embedded systems Female Fetal ECG Fetal Monitoring - methods Fetus - physiology Fetuses Field programmable gate array (FPGA) Field programmable gate arrays Heart rate Humans Internal Medicine Morphology Neural networks Other Pregnancy Signal Processing, Computer-Assisted Wavelet transforms |
| title | Custom FPGA Processing for Real-Time Fetal ECG Extraction and Identification |
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