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  • 1985-1989  (2)
  • 1950-1954
  • 1910-1914
  • EOG interference  (1)
  • Movement  (1)
  • 1
    Electronic Resource
    Electronic Resource
    New spectral detection and elimination test algorithms of ECG and EOG artefacts in neonatal EEG recordings (1987)
    Springer
    Medical & biological engineering & computing 25 (1987), S. 127-130 
    Details
    ISSN: 1741-0444
    Keywords: Artefact detection ; ECG interference ; EOG interference ; Neonatal EEG ; Spectral parameters
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract New methods for the detection of ECG and EOG artefacts in the EEG are introduced, which can also be used for the evaluation of the quality of the elimination procedure. These algorithms are based on the estimation of the power or coherence spectrum by means of FFT. The advantage of this method is that the EEG spectrum is monitored by the test algorithm. The spectrum will be plotted if no influence of the ECG and EOG can be found. On the other hand, if artefacts are detected the correction of the EEG time series will be carried out and the spectrum of the corrected EEG time series will be plotted after repeated monitoring by the test algorithm.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02442839
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Results of modelling and physiological examination of movement-related heart-rate reactions in neonates (1988)
    Springer
    Medical & biological engineering & computing 26 (1988), S. 599-604 
    Details
    ISSN: 1741-0444
    Keywords: Actogram ; Heart rate ; Movement ; Neonates ; Signal analysis ; Simulation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract It can be shown that the sequence of spontaneous movements in the active sleep of healthy neonates can be described as a Poisson process. This statistical model is the basis of the modelling of movement-related heart-rate reactions (MRHR) as a secondary process. Modelling these processes gives essential information about possible diagnostic parameters such as the mean frequency of classified movements in active sleep (AS), and characteristics of the course of MRHR. Optimisation of the reliability of interpreting power spectral parameters, analysis of longterm rhythms and designation of the physiological trends of neonatal heart rates can be attained if the results of time series analysis are compared with fitted simulations. Modifications and new techniques of data acquisition and processing are created by means of the computer model.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02447497
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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