The fetal electrocardiogram (fECG) extraction from non-invasive biopotential recordings is a long-standing research topic. Several open issues, including the insufficient knowledge driven by the lack of common testbenches, still prevent this technique from being exploited as a diagnostic tool. Our research combines both the scientific and technological aspects related to this problem, aiming at developing effective signal recording protocols, efficient separation algorithms and software/hardware real-time embedded system implementations able to bridge the gap between theory and clinical practice. In this paper, a novel embedded framework able to host different real-time algorithms on a limited resources platform, allowing the investigation of problems connected with the signal acquisition, will be presented. Such platform will aid the setup of different experiments in real application scenarios

Real-time non-invasive fECG extraction: the NInFEA embedded framework

PANI, DANILO;RAFFO, LUIGI
2012-01-01

Abstract

The fetal electrocardiogram (fECG) extraction from non-invasive biopotential recordings is a long-standing research topic. Several open issues, including the insufficient knowledge driven by the lack of common testbenches, still prevent this technique from being exploited as a diagnostic tool. Our research combines both the scientific and technological aspects related to this problem, aiming at developing effective signal recording protocols, efficient separation algorithms and software/hardware real-time embedded system implementations able to bridge the gap between theory and clinical practice. In this paper, a novel embedded framework able to host different real-time algorithms on a limited resources platform, allowing the investigation of problems connected with the signal acquisition, will be presented. Such platform will aid the setup of different experiments in real application scenarios
2012
978-88-555-3182-5
Non-invasive fetal ECG; embedded systems; real-time algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/74828
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