The burgeoning global BrainTech market, projected to grow at an 18.5% CAGR, is fueled by increasing awareness of brain health and the need for personalized medicine. Regulatory bodies are also encouraging less invasive diagnostic tools. This technology directly addresses the competitive pressure to deliver more affordable and user-friendly brain imaging solutions, democratizing access to advanced neurological insights beyond specialized clinics and research labs.
Achieves non-invasive, high-precision brain activity mapping with superior spatial resolution compared to conventional EEG.
Reduces acquisition and operational costs by up to ~66% compared to existing MEG and fMRI systems.
Enables simplified on-site operation and installation, eliminating the need for specialized shielded rooms or complex infrastructure.
This patent protects a broad scope of claims, covering the core magnetic field generation and detection methods for non-invasive brain function measurement. It successfully overcame examiner rejections with robust arguments and amendments, indicating a strong, difficult-to-invalidate patent with established novelty and inventiveness over four prior art references.
This patent primarily covers the core magnetic field generation and detection for brain activity mapping. White space exists in developing advanced AI-driven diagnostic algorithms, integrating with neurofeedback systems, or expanding into therapeutic applications beyond pure measurement.
Conventional high-precision brain function measurement devices (MEG/fMRI) can require several hundred million USD for introduction and approximately $2M/year (AI est.) in annual operating costs. Assuming this technology could reduce device and operating costs by ~66%, a direct cost reduction of ~$1.5M/year (AI est.) is expected. Additionally, improved throughput from reduced examination time could create ~$350K/year (AI est.) in revenue opportunities, totaling an estimated ~$1.5M/year (AI est.) in economic impact.
X: Cost Efficiency
Y: Measurement Precision (Spatial & Temporal Resolution)