Driven by its proven therapeutic efficacy in treating movement disorders and psychiatric
conditions, neurostimulation has emerged as a promising intervention for intractable …

Over the past decade, there has been a growing interest in the development of intelligent
neural interface systems-on-chip (SoCs) for a range of neurological disorders and emerging …

Recent advancements in brain-machine interface (BMI) technology offer groundbreaking
solutions for individuals with motor impairments, potentially extending to speech synthesis …

Real time biomedical monitoring applications, such as epileptic seizure or cardiac arrest
detection, require low-latency sensing and processing at ultra-low-power budgets. In this …

Epilepsy tracking System-on-Chips (SoC) usually perform patient-specific classification to
deal with the patient-to-patient seizure pattern variation from a surface …

Cloud-based training and edge-based inference modes for Artificial Intelligence of Medical
Things (AIoMT) applications suffer from accuracy degradation due to physiological signal …

Recently, wearable devices integrating seizure detection processors have been developed
to detect seizures in real time for alerting, recording, or in-device treatment purposes. High …

Closed-loop neuromodulation is emerging as a more effective and targeted solution for the
treatment of neurological symptoms compared to traditional open-loop stimulation. The …

This paper proposes a bio-processor for neural signal analysis. The device architecture
features an analogue Front-End and a Process Element, the latter can be scaled as an …

This paper presents the architecture, design, and testing results of a scalable, multi-core,
multi-function sensor interface, integrating CMOS technology and memristor elements for …