Audioscan - Model Verifit2 - Advanced Hearing Aid Verification Software
The Verifit2 is an advanced hearing aid verification system that delivers a simplified, yet highly precise method for verifying hearing aid performance. The systems include features such as Speechmap which provides a guided workflow for accurate audibility mapping, and ProbeGUIDE™, which uses machine learning algorithms for real-time probe tube placement without additional hardware or software licenses. It also facilitates binaural measurements, making verification efficient. The built-in Verifit Skull Simulator aids in the verification of bone-anchored hearing devices and supports no extra power supply by plugging directly into the test box jack. Verifit2 also supports wideband measurements up to 12.5 kHz and integrates seamlessly with NOAH software for easy adjustments and data management. Designed with extensive ease-of-use features and counseling tools, it remains a trusted solution by clinicians and researchers for verifying and adjusting hearing aids.
Speechmap
Speechmap’s guided workflow makes hearing aid verification intuitive while offering accurate results using the industry’s most advanced tools.
Guided Workflow
- Increases verification efficiency and offers ease of use for real ear measurements and test-box measurements
Audibility Mapping
- Verify audibility and listening comfort for amplified signals
- Verify to validated, generic fitting formula targets
- Accurately assess hearing instrument output relative to dynamic range of the patient
Percentile Analysis
- Document hearing instrument compression and accurately assess the provided audibility
ProbeGUIDE
ProbeGUIDE provides real time, software-assisted probe tube placement. Real-ear measurements are easier than ever and there is no need for additional hardware, software licenses or complicated techniques.
Real-time assistance
- Constantly tracks the probe tube, giving real-time feedback that enables accurate placement while avoiding patient discomfort from eardrum contact
- Supports confident probe tube placement
Algorithm developed using machine learning
- Accurate prediction of probe tube tip distance from eardrum results in easier REM and more precise REM results*
- Provides reliable REM results across clinicians and clinic locations
- Resistant to the ambient noise that can occur in a busy clinical environment