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MATLAB and Simulink for Hearing Aids

Design, prototype, and test hearing aids and cochlear implants

MATLAB^® and Simulink^® enable engineers, researchers, and scientists to design, prototype, and test hearing aids and cochlear implants while complying with industry regulations and standards. You can validate MATLAB and Simulink products for FDA/CE regulations and conform to standards such as IEC 62304 in the development process.

With MATLAB and Simulink, you can:

Develop advanced digital signal processing (DSP) algorithms with real-time testing
Train, validate, optimize, and integrate artificial intelligence (AI) models into hearing aids
Design and simulate mixed-signal systems in the presence of noise, clock jitter, and other impairments
Design and test low-latency, low-energy wireless communication systems
Create and verify ASIC designs for DSP, AI, and wireless applications

“Across Sonova, engineers from a variety of backgrounds use MATLAB and Simulink as a shared language for designing innovative signal processing systems. Model-Based Design and rapid real-time prototyping enable us to maintain the product development pace that our business demands.”
Raoul Glatt, Sonova

Using MATLAB and Simulink
for Hearing Aids

GN Hearing Accelerates Development of Next-Generation Hearing Aid ASICs

Sonova Shortens Product Development Time for Hearing Aids and Implants with Model-Based Design

Cochlear Ltd. Streamlines Development of Cochlear Implant Sound Processing Algorithms

Developing Advanced DSP Algorithms with Real-Time Testing

With MATLAB and Simulink, you can create and simulate DSP algorithms and filters with the help of interactive apps. Then, with Model-Based Design, you can immediately test the algorithms on real-time hardware for clinical performance evaluation. After identifying the most reliable algorithms via prototyping, you can optimize them for performance and power efficiency and implement them in target hardware using code generation.

Active Noise Control – From Modeling to Real-Time Prototyping

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Deep Network Quantizer

Integrating AI into Hearing Aids

MATLAB and Simulink let you use interactive apps and advanced spectral analysis techniques such as wavelet scalograms to extract discriminating features from signals for AI models. You can create AI-enabled applications such as acoustic scene recognition and speech separation from background noise. For integration into hearing aids, you can quantize, optimize, and implement AI models in target hardware using code generation—all within an IEC 62304-compliant development process using Model-Based Design.

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Designing and Simulating Complex Mixed-Signal Systems

You can use MATLAB and Simulink to model and simulate mixed-signal systems in the presence of noise, clock jitter, and other impairments of each key electronic component. The ability to rapidly simulate continuous- and discrete-time signals is essential to verify different system components and optimize them for strict memory and power limitations. Simulating the design early in the process helps to detect errors and define the requirements for system components.

What Is Mixed-Signal Blockset?

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GN Hearing Accelerates Development of Next-Generation Hearing Aid ASICs

Enabling Low-Latency, Low-Energy Wireless Communication Systems

MATLAB and Simulink let RF and antenna engineers use multidomain simulations to help them design wireless technologies for low-latency, low-energy applications such as Bluetooth LE. Also, you can simulate proprietary communications protocols between hearing aids to verify their function in co-existence with and interference from wireless standards such as 5G, WLAN, and Bluetooth. You can optimize communications systems for minimal latency and power usage.

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Creating and Verifying Next-Generation ASIC Designs

MATLAB and Simulink enable you to design acoustic and communications-related DSP algorithms for custom ASICs within the power and memory limitations. You can optimize DSP and communications algorithms as well as AI models and verify them before integration on ASICs. This process lets you increase the efficacy of algorithm and HDL code verification and further integrate the code in the context of the hearing aid system.