Wireless Battery-free and Fully Implantable Organ Interfaces

A Bhatia, J Hanna, T Stuart, KA Kasper… - Chemical …, 2024 - ACS Publications
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-
free power supplies are resulting in a new generation of fully implantable organ interfaces …

Closed-loop neural prostheses with on-chip intelligence: A review and a low-latency machine learning model for brain state detection

B Zhu, U Shin, M Shoaran - IEEE transactions on biomedical …, 2021 - ieeexplore.ieee.org
The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …

A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates

A Zhou, SR Santacruz, BC Johnson… - Nature biomedical …, 2019 - nature.com
Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by
delivering and adjusting therapeutic electrical stimulation in response to a patient's neural …

A 6.5-μW 10-kHz BW 80.4-dB SNDR Gm-C-Based CT ∆∑ Modulator With a Feedback-Assisted Gm Linearization for Artifact-Tolerant Neural Recording

C Lee, T Jeon, M Jang, S Park, J Kim… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
This article presents a G mC-based continuous-time delta–sigma modulator (CTDSM) for
artifact-tolerant neural recording interfaces. We propose the feedback-assisted G m …

Wearable devices for sudden unexpected death in epilepsy prevention

P Ryvlin, C Ciumas, I Wisniewski, S Beniczky - Epilepsia, 2018 - Wiley Online Library
Sudden unexpected death in epilepsy (SUDEP) is most often associated with the
occurrence of generalized tonic–clonic seizures (GTCS), a seizure type that can now be …

Seizure detection and prediction by parallel memristive convolutional neural networks

C Li, C Lammie, X Dong… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
During the past two decades, epileptic seizure detection and prediction algorithms have
evolved rapidly. However, despite significant performance improvements, their hardware …

Biomedical applications and challenges of in-body implantable antenna for implantable medical devices: A review

X Hu, W Yin, F Du, C Zhang, P Xiao, G Li - AEU-International Journal of …, 2023 - Elsevier
The perpetual evolution of systems, materials, and processes has ushered in a new era of
breakthroughs for implantable medical devices (IMDs), once hindered by technological …

[HTML][HTML] Directions of deep brain stimulation for epilepsy and Parkinson's disease

YC Wu, YS Liao, WH Yeh, SF Liang… - Frontiers in …, 2021 - frontiersin.org
Background Deep brain stimulation (DBS) is an effective treatment for movement disorders
and neurological/psychiatric disorders. DBS has been approved for the control of Parkinson …

A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network

B Akbarian, A Erfanian - Biomedical Signal Processing and Control, 2020 - Elsevier
Objective An epileptic seizure has a characteristic EEG pattern, which allows for its
automatic detection. Statistical dependence between different brain regions measures by …

Challenges in scaling down of free-floating implantable neural interfaces to millimeter scale

KW Yang, K Oh, S Ha - IEEE Access, 2020 - ieeexplore.ieee.org
Implantable neural interface devices are an emerging technology for continuous brain
monitoring and brain-computer interface (BCI). Recording of electrical signals from neurons …