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DTSTART:20001029T030000
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UID:20260429T201351Z - 40873@eupp247
DTSTART;TZID=Europe/Berlin:20230118T160000
DTEND;TZID=Europe/Berlin:20230118T170000
CREATED:20260429T201351Z
DESCRIPTION:<a href="https://academy.ant-neuro.com/event/rapid-eeg-with-dry
 -electrodes-signal-quality-reliability-and-comfort-is-the-technology-ready
 -11/register">Rapid EEG with dry electrodes: Signal quality\, reliability\
 , and comfort – is the technology ready?</a>\nThis webinar has ended. Yo
 u can watch the recorded session here. Welcome to ANT Neuro Educational We
 binar Series! In recent years\, various dry and semi-dry electrode concept
 s have been proposed and validated under differing conditions and paradigm
 s. Several concepts are commercially available and in use for science and 
 clinics. Nevertheless\, results and reports on signal quality\, technology
  reliability and applicability as well as perceived comfort vary considera
 bly. The webinar gives an overview about selected dry electrode concepts a
 nd their specificities with the aim of providing an objective evaluation o
 f use cases\, advantages and limitations\, including pitfalls to consider 
 and avoid. The presenter is Prof. Patrique Fiedler who studied electrical 
 engineering and information technology at the Technische Universität Ilme
 nau. Subsequently\, he received a doctorate in the field of biomedical eng
 ineering in 2017. He then switched to industry from 2017 to 2021 and took 
 on development\, project and product management positions. In addition\, h
 e has been a visiting researcher at the University of Porto in Portugal an
 d the University of Pescara-Chieti in Italy on several occasions. In 2021\
 , he returned to academia and was appointed junior professor with tenure t
 rack and head of the "Data Analysis in the Life Sciences” group at the I
 nstitute for Biomedical Engineering and Informatics at the Technische Univ
 ersität Ilmenau. Research focus areas include data fusion and analysis of
  multimodal data sets and body sensor networks as well as research on nove
 l sensor concepts for biosignals\, and online-capable analysis methods for
  close-to-hardware and close-to-sensor data processing. Looking forward to
  welcoming you to this webinar. ANT Neuro Education [ID: 05152] DISCLAIMER
 - Any medical information is provided as a general information service onl
 y\, and is not intended as a [...]
DTSTAMP:20260429T201351Z
LOCATION:Online
SUMMARY:Rapid EEG with dry electrodes: Signal quality\, reliability\, and c
 omfort – is the technology ready?
X-ALT-DESC;FMTTYPE=text/html:<a href="https://academy.ant-neuro.com/event/r
 apid-eeg-with-dry-electrodes-signal-quality-reliability-and-comfort-is-the
 -technology-ready-11/register">Rapid EEG with dry electrodes: Signal quali
 ty\, reliability\, and comfort – is the technology ready?</a>\nThis webi
 nar has ended. You can watch the recorded session here. Welcome to ANT Neu
 ro Educational Webinar Series! In recent years\, various dry and semi-dry 
 electrode concepts have been proposed and validated under differing condit
 ions and paradigms. Several concepts are commercially available and in use
  for science and clinics. Nevertheless\, results and reports on signal qua
 lity\, technology reliability and applicability as well as perceived comfo
 rt vary considerably. The webinar gives an overview about selected dry ele
 ctrode concepts and their specificities with the aim of providing an objec
 tive evaluation of use cases\, advantages and limitations\, including pitf
 alls to consider and avoid. The presenter is Prof. Patrique Fiedler who st
 udied electrical engineering and information technology at the Technische 
 Universität Ilmenau. Subsequently\, he received a doctorate in the field 
 of biomedical engineering in 2017. He then switched to industry from 2017 
 to 2021 and took on development\, project and product management positions
 . In addition\, he has been a visiting researcher at the University of Por
 to in Portugal and the University of Pescara-Chieti in Italy on several oc
 casions. In 2021\, he returned to academia and was appointed junior profes
 sor with tenure track and head of the "Data Analysis in the Life Sciences
 ” group at the Institute for Biomedical Engineering and Informatics at t
 he Technische Universität Ilmenau. Research focus areas include data fusi
 on and analysis of multimodal data sets and body sensor networks as well a
 s research on novel sensor concepts for biosignals\, and online-capable an
 alysis methods for close-to-hardware and close-to-sensor data processing. 
 Looking forward to welcoming you to this webinar. ANT Neuro Education [ID:
  05152] DISCLAIMER- Any medical information is provided as a general infor
 mation service only\, and is not intended as a [...]
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