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Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice
Published on: January 9, 2019
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Ramped pulse shapes are more efficient for cochlear implant stimulation in an animal model
Charlotte Amalie Navntoft1,2, Jeremy Marozeau1, Tania Rinaldi Barkat3
1Hearing Systems Group, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
Scientific Reports
|February 26, 2020
Summary
New ramped electrical pulses for cochlear implants (CI) require less charge than traditional rectangular pulses. This innovation could lead to more battery-efficient CIs and future neural implant designs.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Auditory Neuroscience
Background:
- Commercial cochlear implant (CI) devices utilize rectangular electrical pulses for stimulation.
- Current CI stimulation strategies are based on the efficacy of rectangular pulse shapes.
Purpose of the Study:
- To investigate a novel stimulation paradigm using biophysically-inspired electrical ramped pulses for cochlear implants.
- To evaluate the charge efficiency and physiological responses to ramped pulse shapes compared to rectangular pulses.
Main Methods:
- Electrically-evoked auditory brainstem response (eABR) recordings were performed in mice.
- Ramped and rectangular electrical pulse shapes were used to stimulate the auditory system.
- Charge consumption and response amplitude were measured and compared.
Main Results:
- Ramped pulse shapes required less charge, but higher current amplitude, to achieve similar response amplitudes compared to rectangular pulses.
- The most charge-efficient ramped pulse featured a rising ramp across both phases.
- These findings were consistent across longer phase durations.
Conclusions:
- This study provides the first physiological data on CI stimulation using ramped pulse shapes.
- Ramped pulses demonstrate potential for reducing charge consumption, leading to more battery-efficient cochlear implants.
- The findings may inform the design of other efficient neural implants.

