Next-Generation Hearing Assessment and Personalized Therapy System

A revolutionary hearing assessment system that integrates multi-modal neuro-cardiac signals, artificial intelligence, and machine learning to provide personalized hearing therapy and predictive modeling of hearing loss risk.

The original patent, 'Hearing assessment system and method', has limitations in terms of accuracy, invasiveness, and lack of personalized therapy. The new inventive concept addresses these limitations by introducing a wearable, non-invasive system that leverages the power of multi-modal signals, AI-driven analysis, and machine learning-based predictive modeling to provide a more comprehensive and effective hearing assessment and therapy solution.

The system consists of a wearable device that concurrently measures functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) signals, which are then integrated and analyzed by a processing module to provide a comprehensive hearing assessment. The system also incorporates artificial intelligence-driven cardiac signal processing to detect anomalies indicative of hearing impairment. Additionally, the system enables personalized hearing therapy using real-time neural adaptation tracking and predictive modeling of hearing loss risk using machine learning-based analysis of multi-modal neuro-cardiac signals.

The new inventive concept's novelty lies in its integration of multi-modal neuro-cardiac signals, AI-driven analysis, and machine learning-based predictive modeling, which provides a more comprehensive and accurate hearing assessment and personalized therapy solution. The inventive step is the combination of these technologies to create a wearable, non-invasive system that can detect hearing impairment and provide personalized therapy in real-time.

Alternative embodiments of the system could include the use of other neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), or the integration of additional physiological signals, such as electrocardiography (ECG) or electromyography (EMG). The system could also be adapted for use in other applications, such as cognitive training or neurological disorder diagnosis.

The potential commercial applications of the inventive concept are vast, with potential markets in audiology, otolaryngology, and neuroscience. The system could be marketed as a medical device for hearing assessment and therapy, or as a consumer product for personal hearing health monitoring and cognitive training. The market potential is significant, with an estimated global audiology market size of over $10 billion by 2025.