Real-Time Electrocochleography (ECoG)Guided Mapping to Reduce Frequency Mismatch in Cochlear Implants
Budget: $10 – $30 USD
Project Description
Our project is a software-based system designed to analyze ECoG signals and generate a frequency map using mathematical computations and signal processing algorithms.
The main objective of the project is to evaluate frequency-to-place mismatch by comparing the mismatch produced by our software with the mismatch generated by an anatomy-based clinical fitting system.
Methodology
1. ECoG Signal Processing
The software takes ECoG signals collected from patients and applies:
• Mathematical calculations
• Signal processing techniques
• Algorithmic analysis
The output of this stage is a frequency map derived directly from the ECoG signal.
This frequency map is then projected onto the cochlear anatomy to calculate the frequency-to-place mismatch produced by our software.
2. Cochlear Anatomy Extraction
For the same patients, X-ray images of the cochlea are obtained.
These images are imported into MED-EL OTOPLAN, which provides:
• Patient-specific cochlear anatomy
• Anatomy-based fitting
• A clinically validated calculation of frequency-to-place mismatch
3. Comparison Framework
The comparison is performed between two mismatch values, not just frequency maps:
1. Frequency-to-Place Mismatch from Our Software
• Based on ECoG-derived frequency mapping
• Calculated after mapping frequencies onto the cochlear place
2. Frequency-to-Place Mismatch from MED-EL OTOPLAN
• Based on X-ray–derived cochlear anatomy
• Represents anatomy-based fitting
Both mismatch values are calculated for the same patient, enabling a direct and fair comparison.
4. Analysis
We analyze:
• The difference between the mismatch produced by our software and the mismatch produced by OTOPLAN
• How closely the ECoG-based mismatch approaches the anatomy-based mismatch
Success Criteria
The software is considered successful if the frequency-to-place mismatch generated by our system is very close to or matches the mismatch calculated by MED-EL OTOPLAN, and demonstrates improved accuracy compared to non-anatomy-based default fitting.
Project Significance
This project introduces a patient-specific, software-driven approach that integrates:
• Biomedical signal processing
• Physiological ECoG signals
• Cochlear anatomy
• Frequency-to-place mismatch analysis
The work explores the feasibility of using ECoG-derived information as an alternative or supportive method for improving cochlear implant fitting accuracy.
The ultimate goal is to develop the software as a reusable template, allowing patient-specific frequency-to-place mapping to be generated efficiently for different individuals
Our project is a software-based system designed to analyze ECoG signals and generate a frequency map using mathematical computations and signal processing algorithms.
The main objective of the project is to evaluate frequency-to-place mismatch by comparing the mismatch produced by our software with the mismatch generated by an anatomy-based clinical fitting system.
Methodology
1. ECoG Signal Processing
The software takes ECoG signals collected from patients and applies:
• Mathematical calculations
• Signal processing techniques
• Algorithmic analysis
The output of this stage is a frequency map derived directly from the ECoG signal.
This frequency map is then projected onto the cochlear anatomy to calculate the frequency-to-place mismatch produced by our software.
2. Cochlear Anatomy Extraction
For the same patients, X-ray images of the cochlea are obtained.
These images are imported into MED-EL OTOPLAN, which provides:
• Patient-specific cochlear anatomy
• Anatomy-based fitting
• A clinically validated calculation of frequency-to-place mismatch
3. Comparison Framework
The comparison is performed between two mismatch values, not just frequency maps:
1. Frequency-to-Place Mismatch from Our Software
• Based on ECoG-derived frequency mapping
• Calculated after mapping frequencies onto the cochlear place
2. Frequency-to-Place Mismatch from MED-EL OTOPLAN
• Based on X-ray–derived cochlear anatomy
• Represents anatomy-based fitting
Both mismatch values are calculated for the same patient, enabling a direct and fair comparison.
4. Analysis
We analyze:
• The difference between the mismatch produced by our software and the mismatch produced by OTOPLAN
• How closely the ECoG-based mismatch approaches the anatomy-based mismatch
Success Criteria
The software is considered successful if the frequency-to-place mismatch generated by our system is very close to or matches the mismatch calculated by MED-EL OTOPLAN, and demonstrates improved accuracy compared to non-anatomy-based default fitting.
Project Significance
This project introduces a patient-specific, software-driven approach that integrates:
• Biomedical signal processing
• Physiological ECoG signals
• Cochlear anatomy
• Frequency-to-place mismatch analysis
The work explores the feasibility of using ECoG-derived information as an alternative or supportive method for improving cochlear implant fitting accuracy.
The ultimate goal is to develop the software as a reusable template, allowing patient-specific frequency-to-place mapping to be generated efficiently for different individuals