Related Experiment Video
Updated: Feb 8, 2026

Performing Intracochlear Electrocochleography During Cochlear Implantation
Published on: March 8, 2022
Normative data for TM electrocochleography measures
Signe Schuster Grasel1, Roberto Miquelino de Oliveira Beck1, Ricardo Silva Chiabai Loureiro1
1University of Sao Paulo School of Medicine, Dr. Eneas de Carvalho Aguiar, 255, sala 6173, Cerqueira César, Sao Paulo, SP CEP 05403-000, Brazil.
This study established normative data for tympanic electrocochleography (TM ECochG) in healthy adults. These TM ECochG parameters help differentiate normal hearing from Ménière
Area of Science:
- Audiology
- Neurotology
- Diagnostic audiology
Background:
- Ménière's disease (MD) diagnosis relies on clinical symptoms and can be supported by electrophysiological tests.
- Establishing normative data for electrocochleography is crucial for accurate interpretation.
Purpose of the Study:
- To establish normative data for tympanic electrocochleography (TM ECochG) parameters in adults without Ménière's disease (MD).
- To identify TM ECochG variables that differentiate normal ears from those affected by MD.
Main Methods:
- 100 normal-hearing adults (200 ears) without MD symptoms were enrolled.
- Key TM ECochG parameters analyzed included SP/AP amplitude ratio, SP/AP area ratio, and AP latency difference.
- Inclusion criteria ensured subjects had normal hearing, tympanometry, and no MD symptoms.
Main Results:
- No significant differences were found between right and left ears for the measured parameters.
- Normative ranges were established: SP/AP amplitude ratio (0.084-0.356), SP/AP area ratio (0.837-1.671), and AP latency difference (0.0-0.333 ms).
Conclusions:
- Normative TM ECochG data were successfully established for a cohort of healthy adults.
- These established normative values are valuable for distinguishing normal findings from pathological conditions and for monitoring MD patients.
More Related Videos
Related Concept Videos
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Data Reporting and Recording
Data Validation
Key parameters for method validation include:
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Collection II

