TY - GEN
T1 - Non-invasive FECG extraction from a set of abdominal sensors
AU - Behar, Joachim
AU - Oster, Julien
AU - Clifford, Gari D.
PY - 2013
Y1 - 2013
N2 - Introduction: Despite significant advances in adult clinical electrocardiography (ECG) signal processing techniques and the power of digital processors, the analysis of non-invasive foetal ECG (NI-FECG) is still in its infancy. The PhysioNet/Computing in Cardiology Challenge 2013 addresses some of these limitations by making publicly available a set of FECG data to the scientific community for evaluation of signal processing techniques.
AB - Introduction: Despite significant advances in adult clinical electrocardiography (ECG) signal processing techniques and the power of digital processors, the analysis of non-invasive foetal ECG (NI-FECG) is still in its infancy. The PhysioNet/Computing in Cardiology Challenge 2013 addresses some of these limitations by making publicly available a set of FECG data to the scientific community for evaluation of signal processing techniques.
UR - http://www.scopus.com/inward/record.url?scp=84894204644&partnerID=8YFLogxK
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AN - SCOPUS:84894204644
SN - 9781479908844
T3 - Computing in Cardiology
SP - 297
EP - 300
BT - Computing in Cardiology 2013, CinC 2013
T2 - 2013 40th Computing in Cardiology Conference, CinC 2013
Y2 - 22 September 2013 through 25 September 2013
ER -