The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new method to monitor the depth of anaesthesia using wavelet analysis of middle latency auditory evoked potential (AEP). This method uses much less sweeps comparing to existing methods and make the fast extraction of AEP signal possible. Moreover, the result shows a better relativity with the depth of anaesthesia.
This paper introduces the development of a monitoring system to depth of anaesthesia in a surgery. We first developed the audiory evoked potential (AEP) method and the bispectrium method. Then we combined them together using a off-line trained neural networks. The preliminary results show that our calculated index is closely relative to the depth of anaesthesia.
In this study, two methods. Auditory evoked potential (AEP) and bispectrum, based on EEG signal processing are employed in monitoring depth of anaesthesia. Auditory evoked potential is obtained using wavelet analysis in order to achieve a fast extraction. Both AEP and bispectrum methods show good relativity with the depth of anaesthesia. Besides, both methods are integrated in a software developed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.