Literature DB >> 27888794

Custom FPGA processing for real-time fetal ECG extraction and identification.

E Torti1, D Koliopoulos2, M Matraxia3, G Danese1, F Leporati4.   

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, to the best of our knowledge.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomedical instrumentation; Embedded systems; Fetal ECG; Field programmable gate array (FPGA)

Mesh:

Year:  2016        PMID: 27888794     DOI: 10.1016/j.compbiomed.2016.11.006

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  Efficient implementation of LMS adaptive filter-based FECG extraction on an FPGA.

Authors:  Bhavya Vasudeva; Puneesh Deora; Pradhan Mohan Pradhan; Sudeb Dasgupta
Journal:  Healthc Technol Lett       Date:  2020-11-13
  1 in total

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