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PRODID:IEEE vTools.Events//EN
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TZID:Canada/Eastern
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DTSTART:20210314T030000
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DTSTAMP:20210121T010543Z
UID:2CD2498E-CEFB-4B60-BD21-15BF01D6D1DA
DTSTART;TZID=Canada/Eastern:20201112T143000
DTEND;TZID=Canada/Eastern:20201112T153000
DESCRIPTION:The evolution of analyzing EEG signals that span time domain\, 
 frequency domain\, and frequency-time domain will be covered. How neural o
 scillators arise from neural activity will be discussed to motivate the ne
 ed to find features located in time and frequency. To conclude\, an exampl
 e using a state of the art Convolutional Neural Network method for classif
 ying EEG signals will be presented.\n\nSpeaker(s): Dr. Lou Pino\, \n\nOtta
 wa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/247386
LOCATION:Ottawa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/247386
ORGANIZER:m.abdelazez.ca@ieee.org
SEQUENCE:1
SUMMARY:IEEE EMBS: Evolution of Digital Signal Processing Techniques for An
 alyzing EEG
URL;VALUE=URI:https://events.vtools.ieee.org/m/247386
X-ALT-DESC:Description: <br /><p>The evolution of analyzing EEG signals tha
 t span time domain\, frequency domain\, and frequency-time domain will be 
 covered. How neural oscillators arise from neural activity will be discuss
 ed to motivate the need to find features located in time and frequency. To
  conclude\, an example using a state of the art Convolutional Neural Netwo
 rk method for classifying EEG signals will be presented.</p>
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