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UID:pretalx-ifos2026-QAE7FU@sciencenext.org
DTSTART;TZID=EET:20260913T104500
DTEND;TZID=EET:20260913T121500
DESCRIPTION:<p style="margin-left: 0px!important\;"><strong>Research and cl
 inical interest in cochlear implant (CI) electrode impedance have evolved 
 significantly throughout 2024 and 2025. The current focus has shifted from
  simple "functionality checks" to using impedance as a sophisticated&nbsp\
 ;biomarker&nbsp\;for the internal environment of the cochlea. In CIs\, ele
 ctrode impedance measurement plays a role in optimizing power requirements
 \, establishing electrode integrity\, and determining electrical stimulati
 on parameters such as the pulse duration\, pulse amplitude\, and stimulati
 on rate.&nbsp\;Any changes in impedance levels may indicate issues with th
 e electrodes and/or cochlear implants\, such as short circuits\, open circ
 uits\, or damaged devices. Long-term use of the device may lead to a reduc
 tion in its efficiency in delivering electrical current to the surrounding
  cochlear tissues\, resulting in an increase in impedance and decreased im
 plant effectiveness. Therefore\, it is saliently important to perform foll
 ow-up examinations post-implantation to investigate potential changes in t
 he electrical impedance of cochlear implants over time. On the other hand\
 , early activation results in decrease of impedance and better voltage tra
 nsmission across electrodes. This of course will improve the outcome perfo
 rmance of CI. Impedance Voltage Matrix an emerging tool provide a deeper i
 nsight on the electrode neural interface at each electrode. Different elec
 trode impedance models are developing to&nbsp\; be integrated into clinica
 l practice using the standard software. All detailed related updates will 
 be highlighted in the roundtable.</strong></p><p style="margin-left: 0px!i
 mportant\;">&nbsp\;</p>
DTSTAMP:20260805T041743Z
LOCATION:Hearing Implant 2
SUMMARY:Beyond the Circuit. Electrode Impedance as a Biomarker for Intracoc
 hlear Health - Dalia Hassan\, Medhat Yousef\, Yassin Abdelsamad\, Hannes M
 aier\, Wilhelm Wimmer\, Dayse Tavora-Viera
URL:https://sciencenext.org/ifos2026/talk/QAE7FU/
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