1995
DOI: 10.1007/bf02510522
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Rapid measurement of somatosensory evoked potential response to cerebral artery occlusion

Abstract: The aim of the paper is to determine the speed of the neurological response to cerebral artery occlusion by monitoring transient changes in somatosensory evoked potentials (SEPs). SEPs, continuously monitored during temporary clipping of the middle cerebral artery (MCA) in anaesthetised cats, are analysed. The SEP signals are modelled by a quasi-periodic Fourier series, the coefficients of which are estimated with the aid of two adaptive least squares estimation algorithms. The energy levels at various harmoni… Show more

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Cited by 3 publications
(3 citation statements)
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“…These data indicate that the effect of EMF on osteogenic differentiation is significantly dependent on the direction of the EMF exposure. It is important to point out that the effects occurring at 7.5, 15, 45, and 75 Hz are harmonic waves and these pulsed patterns going from lower to higher order harmonics cause a decrease in relative energy states ( Poon et al, 1995 ).…”
Section: Introductionmentioning
confidence: 99%
“…These data indicate that the effect of EMF on osteogenic differentiation is significantly dependent on the direction of the EMF exposure. It is important to point out that the effects occurring at 7.5, 15, 45, and 75 Hz are harmonic waves and these pulsed patterns going from lower to higher order harmonics cause a decrease in relative energy states ( Poon et al, 1995 ).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, different kinds of adaptive filters have been widely used in various biomedical signal processing (Laguna, 1992;Ferdjallah et al, 1994;Chan et al, 1995;Poon et al, 1995;Parsa et al, 1998;Olmos et al, 2000). The major functions of the adaptive filters in these applications are noise and artifact removal as well as signal enhancement.…”
Section: Adaptive Filtermentioning
confidence: 99%
“…Computer simulation is a good way to investigate the performance of these algorithms and make appropriate modifications. In this thesis, LMS algorithm is used for different kinds of adaptive filters with reference to previous studies (Svensson, 1993;Qiu et al, 1994;Chan et al, 1995;Poon et al, 1995). LMS algorithm is relatively simple to implement, yet powerful enough to provide the practical benefits that may result from the application of adaptivity to the problem at hand.…”
Section: Algorithms For Adaptive Filtermentioning
confidence: 99%