From seizure detection to smart and fully embedded seizure prediction engine: A review

J Yang, M Sawan - IEEE Transactions on Biomedical Circuits …, 2020 - ieeexplore.ieee.org
Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …

In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat

Y Xu, E De la Paz, A Paul, K Mahato… - Nature Biomedical …, 2023 - nature.com
Owing to the proximity of the ear canal to the central nervous system, in-ear
electrophysiological systems can be used to unobtrusively monitor brain states. Here, by …

Wearable multiple modality bio-signal recording and processing on chip: A review

Q Lin, S Song, ID Castro, H Jiang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Remote home monitoring via wearables is rapidly gaining popularity, thanks to ever more
complex vital signs recording and data analytics that are embedded into single devices …

Wireless ear EEG to monitor drowsiness

R Kaveh, C Schwendeman, L Pu, AC Arias… - Nature …, 2024 - nature.com
Neural wearables can enable life-saving drowsiness and health monitoring for pilots and
drivers. While existing in-cabin sensors may provide alerts, wearables can enable …

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 …

A CMOS dual-mode brain-computer interface chipset with 2-mV precision time-based charge balancing and stimulation-side artifact suppression

H Pu, O Malekzadeh-Arasteh… - IEEE Journal of Solid …, 2021 - ieeexplore.ieee.org
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 …

A low-noise chopper amplifier designed for multi-channel neural signal acquisition

D Luo, M Zhang, Z Wang - IEEE Journal of Solid-State Circuits, 2019 - ieeexplore.ieee.org
This paper proposed the design of a low-noise, low total harmonic distortion (THD) chopper
amplifier for neural signal acquisition. A dc servo loop (DSL) based on active Gm-C …

A single-chip bidirectional neural interface with high-voltage stimulation and adaptive artifact cancellation in standard CMOS

JP Uehlin, WA Smith, VR Pamula… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
A single-chip, bidirectional brain-computer interface (BBCI) enables neuromodulation
through simultaneous neural recording and stimulation. This article presents a prototype …

Track-and-zoom neural analog-to-digital converter with blind stimulation artifact rejection

MR Pazhouhandeh, M Chang… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
Closed-loop neuromodulation for the treatment of neurological disorders requires
monitoring of the brain activity uninterruptedly even during neurostimulation. This article …

A high-voltage compliance, 32-channel digitally interfaced neuromodulation system on chip

S Reich, M Sporer, M Haas, J Becker… - IEEE Journal of Solid …, 2021 - ieeexplore.ieee.org
This article presents the integration of a 32-channel neuromodulation system on chip (SoC)
that is developed for chronic implantation in humans. The application-specific integrated …