A Novel Algorithm to Analyze Multi-Frequency Electrocochleography Measurements to Monitor Electrode Placement During...

Area of Science:

• Otolaryngology
• Biomedical Engineering
• Neuroscience

Background:

• Cochlear implant (CI) surgery relies on cochlear microphonics (CM) to monitor hair-cell function and prevent insertion trauma.
• Single-frequency CM measurements can be ambiguous, making it hard to distinguish trauma from electrode progression.
• Multi-frequency CM analysis offers more precise feedback by assessing various cochlear locations.

Purpose of the Study:

• To develop and evaluate a novel algorithm for analyzing multi-frequency CM tracings during CI electrode placement.
• To compare the effectiveness of multi-frequency CM analysis versus single-frequency analysis in identifying critical events.

Main Methods:

• A new algorithm was created to analyze CM amplitude and phase changes across multiple frequencies.
• The algorithm's ability to detect alarm instances was assessed using multi-frequency CM data.
• Performance was compared against traditional single-frequency (500 Hz) CM monitoring.

Main Results:

• The multi-frequency CM approach significantly reduced alarm instances compared to the single-frequency method.
• Multi-frequency CM tracings generated an average of 0.5 alarms.
• Single-frequency 500 Hz CM measurements resulted in an average of 2.8 alarms.

Conclusions:

• Multi-frequency CM analysis provides more accurate real-time feedback during CI electrode insertion.
• This method can decrease false positive alarms, reducing unnecessary electrode adjustments.
• Minimizing false alarms lowers the risk of cochlear implant insertion trauma.