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E C Ifeachor

Showing results (1-10 of 13) with videos related to

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Medical & Biological Engineering & Computing|January 1, 1988
The removal of ocular artefacts from the electroencephalogram: a reviewB W Jervis, E C Ifeachor, E M Allen
Artificial Intelligence in Medicine|October 13, 1999
The evaluation of an expert system for the analysis of umbilical cord bloodJ M Garibaldi, J A Westgate, E C Ifeachor
Medical & Biological Engineering & Computing|May 1, 1985
Digital filtering of physiological signals with minimal distortionC F Hamer, E C Ifeachor, B W Jervis
Medical & Biological Engineering & Computing|July 1, 1994
Suitability of artificial neural networks for feature extraction from cardiotocogram during labourR D Keith, J Westgate, E C Ifeachor, et al.
Artificial Intelligence in Medicine|June 1, 1997
The development and implementation of an expert system for the analysis of umbilical cord bloodJ M Garibaldi, J A Westgate, E C Ifeachor, et al.
Journal of Perinatal Medicine|January 1, 1994
Preliminary evaluation of an intelligent system for the management of labourR D Keith, J Westgate, G W Hughes, et al.
Clinical Physics and Physiological Measurement : an Official Journal of the Hospital Physicists' Association, Deutsche Gesellschaft Fur Medizinische Physik and the European Federation of Organisations for Medical Physics|November 1, 1990
Suitability of fetal scalp electrodes for monitoring the fetal electrocardiogram during labourJ Westgate, R D Keith, J S Curnow, et al.
Medical & Biological Engineering & Computing|July 1, 1986
New online method for removing ocular artefacts from EEG signalsE C Ifeachor, B W Jervis, E L Morris, et al.
IEEE Transactions on Bio-Medical Engineering|August 1, 2000
Receiver operating characteristic analysis for intelligent medical systems--a new approach for finding confidence intervalsJ B Tilbury, P W Van Eetvelt, J M Garibaldi, et al.
British Journal of Obstetrics and Gynaecology|September 1, 1995
A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogramR D Keith, S Beckley, J M Garibaldi, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Medical & Biological Engineering & Computing|January 1, 1988
The removal of ocular artefacts from the electroencephalogram: a reviewB W Jervis, E C Ifeachor, E M Allen
Artificial Intelligence in Medicine|October 13, 1999
The evaluation of an expert system for the analysis of umbilical cord bloodJ M Garibaldi, J A Westgate, E C Ifeachor
Medical & Biological Engineering & Computing|May 1, 1985
Digital filtering of physiological signals with minimal distortionC F Hamer, E C Ifeachor, B W Jervis
Medical & Biological Engineering & Computing|July 1, 1994
Suitability of artificial neural networks for feature extraction from cardiotocogram during labourR D Keith, J Westgate, E C Ifeachor, et al.
Artificial Intelligence in Medicine|June 1, 1997
The development and implementation of an expert system for the analysis of umbilical cord bloodJ M Garibaldi, J A Westgate, E C Ifeachor, et al.
Journal of Perinatal Medicine|January 1, 1994
Preliminary evaluation of an intelligent system for the management of labourR D Keith, J Westgate, G W Hughes, et al.
Clinical Physics and Physiological Measurement : an Official Journal of the Hospital Physicists' Association, Deutsche Gesellschaft Fur Medizinische Physik and the European Federation of Organisations for Medical Physics|November 1, 1990
Suitability of fetal scalp electrodes for monitoring the fetal electrocardiogram during labourJ Westgate, R D Keith, J S Curnow, et al.
Medical & Biological Engineering & Computing|July 1, 1986
New online method for removing ocular artefacts from EEG signalsE C Ifeachor, B W Jervis, E L Morris, et al.
IEEE Transactions on Bio-Medical Engineering|August 1, 2000
Receiver operating characteristic analysis for intelligent medical systems--a new approach for finding confidence intervalsJ B Tilbury, P W Van Eetvelt, J M Garibaldi, et al.
British Journal of Obstetrics and Gynaecology|September 1, 1995
A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogramR D Keith, S Beckley, J M Garibaldi, et al.
Pageof 2