Analyzing the physical and electrochemical safety limits of neural stimulation and designing un-bypassable hardware interlocks.
Delivering electrical current into brain tissue requires careful management of charge injection. Imbalanced stimulation causes hydrolysis, gas bubble formation, platinum electrode dissolution, and toxic pH shifts. NeuroHSM embeds analog monitoring circuits that measure electrode impedance and enforce charge-neutral biphasic waveforms on every single pulse.
Modern closed-loop BCIs utilize deep neural networks (DNNs) to decode neural patterns and trigger stimulation. Because neural networks can hallucinate or behave unpredictably under adversarial inputs, NeuroHSM strictly separates the AI inference engine from the stimulation driver via an immutable hardware safety supervisor.
Navigating medical device approval (FDA IDE, PMA, and EU MDR) for AI-driven closed-loop implants requires demonstrable evidence that cybersecurity controls cannot fail in ways that harm patients. NeuroHSM provides complete verification dossiers and formal proofs of safety compliance.