Literature DB >> 23089209

An application of reconfigurable technologies for non-invasive fetal heart rate extraction.

D P Morales1, A García, E Castillo, M A Carvajal, L Parrilla, A J Palma.   

Abstract

This paper illustrates the use of a reconfigurable system for fetal electrocardiogram (FECG) estimation from mother's abdomen ECG measurements. The system is based on two different reconfigurable devices. Initially, a field-programmable analog array (FPAA) device implements the analog reconfigurable preprocessing for ECG signal acquisition. The signal processing chain continues onto a field-programmable gate array (FPGA) device, which contains all the communication and interfacing protocols along with specific digital signal processing blocks required for fundamental period extraction from FECG waveforms. The synergy between these devices provides the system the ability to change any necessary parameter during the acquisition process for enhancing the result. The use of a FPGA allows implementing different algorithms for FECG signal extraction, such as adaptive signal filtering. Preliminary works employ commercially available development platforms for test experiments, which suffice for the processing of real FECG signals from biomedical databases, as the presented results illustrate.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 23089209     DOI: 10.1016/j.medengphy.2012.09.011

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  2 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

2.  A clustering-based method for single-channel fetal heart rate monitoring.

Authors:  Encarnación Castillo; Diego P Morales; Antonio García; Luis Parrilla; Víctor U Ruiz; José A Álvarez-Bermejo
Journal:  PLoS One       Date:  2018-06-22       Impact factor: 3.240

  2 in total

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