Devices such as keyboards and touchscreens allow humans to communicate with
machines. Neural interfaces, which can provide a direct, electrical bridge between analogue …

Wearable sensors have demonstrated wide applications from medical treatment, health
monitoring to real-time tracking, human-machine interface, smart home, and motion capture …

Developing new tools to better understand disorders of the nervous system, with a goal to
more effectively treat them, is an active area of bioelectronic medicine research. Future tools …

Closed-loop neural interfaces with on-chip machine learning can detect and suppress
disease symptoms in neurological disorders or restore lost functions in paralyzed patients …

A 16-channel closed-loop neuromodulation system-on-chip (SoC) for human epileptic
seizure control is proposed and designed. In the proposed SoC, a 16-channel neural-signal …

This article presents a multipolar neural stimulation and mixed-signal neural data acquisition
(DAQ) chipset for fully implantable bi-directional brain–computer interfaces (BD-BCIs). The …

This work presents an 8-channel closed-loop neuromodulation chipset with 2-level seizure
classification. The power-consuming fine classifier is only enabled when the coarse …

During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …

The advancement of implantable medical devices for the treatment of neurological disorders
demands energy-efficient, low-latency processors for responsive, safe, and personalized …

Closed-loop neuromodulation for the treatment of neurological disorders requires
monitoring of the brain activity uninterruptedly even during neurostimulation. This article …