Electrotecnia. Fundamentos teóricos y aplicaciones prácticas. Gray Alexander, Wallace. Aguilar – Foto Libros de Segunda Mano – Ciencias, Manuales y Oficios – Física, Química y Matemáticas: wallace. Compra, venta y subastas de Física. Download Citation on ResearchGate | Electrotecnia: fundamentos teóricos y aplicaciones prácticas / por Alexander Gray y G. A. Wallace | Traducción de.

Author: Bragar Tygozuru
Country: Tunisia
Language: English (Spanish)
Genre: Science
Published (Last): 17 September 2011
Pages: 474
PDF File Size: 19.22 Mb
ePub File Size: 19.63 Mb
ISBN: 395-9-71772-816-2
Downloads: 93177
Price: Free* [*Free Regsitration Required]
Uploader: Dulmaran

Allyson Little 3 years ago Views: Results A scatter plot showing the feature values of the events after the pre-detection stage is shown in Fig. Cortical electrotwcnia of scalp EEG epileptiform discharges.

Acy M Kottalil 2, N. These filters have an impulse response with electrotecna shape that could be confused with an FO, and any glitch or fast transient in the broadband signal generates a confounding event in the narrow bands. The profession of electrical engineering More information. Elevtrotecnia tried other options, such as clustering algorithms, and other features.

Course area Physics 1. A simple classification based on two features, a narrowband to wideband signal amplitude ratio and an absolute narrowband signal amplitude, then allows for an important reduction in the number of false positives. S1 we show the same diagrams for all the patients, and it can be seen than in most patients the channels with a high proportion of events are the same according to the expert and the automatic detector.

Descargar Adam Wallace Cypress PDF | Page 4 – Free E-Book Download

High frequency oscillations in human brain. The curves are obtained by first computing the optimum thresholds for each desired sensitivity and then computing the resulting positive predicted and positive agreement values.


Ruppert Filho ruppert fee. Also, almost no elrctrotecnia is found in the ranking distance of the automatic detector at both operating points see Table 3 and Fig. The bandwidth of a signal is not smaller than approximately the inverse of its duration, the exact value depending on the signal shape.

Scada System for a Power Electronics Laboratory.

The time required to mark fast oscillations on scalp EEG recordings is drastically reduced with the use of the proposed detector. The algorithm is described qualitatively in this section, and in Appendix A we provide the implementation details. Elecrtotecnia obtain the first feature we compute the ratio of the maximum absolute value of the broadband signal, to the maximum absolute value of the signal in the narrow frequency band in which an event was detected.

Early studies reported fast oscillations in scalp EEG of only a small percentage of epileptic patients Rodin et al. To contribute significantly to a scalp event, such distant events would have to be synchronized and the above study did not address this issue. Canadian Skills Modelling of electric power systems in steady state, during short circuits and during other.

Given the limited experience fray scalp FOs, we believe that a review of the automatic detector results by a human expert is necessary regardless of performance. Acta Polytechnica Hungarica Vol.

Automatic detection of fast oscillations (40–200 Hz) in scalp EEG recordings

We must point out that given the high sensitivity of the detector, the number of false negative or missed events is low. Electrotecniaa to why they can be seen on the scalp, we found that the physiological noise level is lower in higher frequency bands than in the frequency band associated to the spikes 3—40 Hzat waplace during non-REM sleep. In this way high RMS values not corresponding to background are excluded from the background level computation.

  EN 10088-4 PDF

Hence, this work focuses in the comparison between the human expert and the automatic detector. Support Center Support Center. The number of false positives is drastically reduced at the classification stage, giving a more reasonable number of false positive automatic detections.

The events with RMS value lower than a threshold are considered false positive pre-detections. In patients with RD around 0. Quantitative analysis of high-frequency oscillations 80— Hz. Automatic detector of high frequency oscillations for human recordings with macroelectrodes.

The eldctrotecnia More information. Start display at page:. Interictal epileptogenic fast oscillations on neonatal and infantile EEGs in hemimegalencephaly. From the table we also see that the percentage of automatic detections that occur at the same time as a spike is lower for the automatic detector.