davidfitz
Regular
No wonder we won, the NEXA glasses are just the beginning (I hope). With the clinical trials almost completed we should start to see the true benefit in 2026. Like many I am hopeful this will lead to a commercial agreement.![]()
Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip… | Best in Biz Awards
Congratulations again to winners in the Product categories in the 15th annual Best in Biz Awards: Addigy Adobe ADP Aha! Applied Systems Asensus Surgical Atombeam Technologies Aviatrix BrainChip DataDocks Deako Dynamo Software Fidelity Investments First Internet Bank GreenShield iHealth Labs...www.linkedin.com
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AI Anomaly Detection for Seizure Prediction: How BrainChip enables Onsor Technologies NEXA
BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.
www.wevolver.com
What’s Next: Scaling Neuromorphic AI in Healthcare
The capabilities demonstrated in seizure prediction are only a starting point. The same underlying technology—low-power, event-based neuromorphic AI—can be applied to a range of neurological and muscular conditions where early detection and real-time response are critical.- Gesture-Controlled Prosthetics: In prosthetics and assistive mobility solutions, neuromorphic processors can interpret EMG or neural signals to provide precise, real-time control of limbs. SNNs improve responsiveness while keeping power consumption low, enabling all-day operation. With on-device learning, such systems can continuously adapt to each user’s signal patterns and control behavior, improving over time without retraining [4].
- Continuous Rehabilitation Monitoring: AI-powered wearables can track muscle movements, gait patterns, or facial expressions for 24/7 monitoring. These devices can flag early signs of falls, pain, or emotional distress in patients who may struggle to communicate. Always-on operation makes long-term monitoring possible without constant recharging [9].
- A New Model for Edge AI in Medicine: Medical AI at the edge is becoming more feasible, secure, and personal. BrainChip’s Akida processor enables smart wearables, implants, and monitoring systems that run AI locally without compromising speed or data privacy. Future devices could track brain or heart signals in real time, adapting to individual health profiles without cloud dependency [10].
- Beyond Seizure Prediction: AI-powered systems have the potential to predict tremors in Parkinson’s patients before they occur, monitor stroke rehabilitation with greater precision, and detect early signs of cognitive or motor decline. These applications demand constant, adaptive analysis [7,8], something neuromorphic processors can deliver without compromising battery life or data privacy. BrainChip and Onsor are already exploring broader use cases, demonstrating how this platform can scale across multiple domains of personalized, real-time healthcare.