An Ultra-Low Power RSSI Amplifier for EEG Feature Extraction to Detect Seizures

Zhang, Yuqing; Mirchandani, Nikita; Abdelfattah, Safaa; Onabajo, Marvin; Shrivastava, Aatmesh

doi:10.1109/tcsii.2021.3099056

Cited by 5 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In neuroscience, synchronization between brain regions is quantified with phase locking value (PLV) and phaseamplitude coupling (PAC) [1][2][3][4][5][6][7][8]. PLV is a statistic feature that measures the level of phase synchronization between two signals within the same frequency bands by a vector whose magnitude represents the level of synchronization by a value between zero and one.…”

Section: Introductionmentioning

confidence: 99%

PLV/PAC Feature Extraction Units for Implantable Neural Interfaces: Review

Hasaneen,

Yassin

2024

Aswan University Journal of Sciences and Technology

View full text Add to dashboard Cite

Neural interfaces shows promise in treating neurological conditions such as Epilepsy, Depression, and Parkinson's disease. To enable fully implantable treating interfaces, efficient oscillatory feature extraction units are required. This article explores different techniques suggested for extracting phase locking value (PLV) and phase amplitude coupling (PAC) features. Additionally, the article provides an overview of the current state-of-the-art units and highlights their limitations.

show abstract

Section: Introductionmentioning

confidence: 99%

PLV/PAC Feature Extraction Units for Implantable Neural Interfaces: Review

Hasaneen,

Yassin

2024

Aswan University Journal of Sciences and Technology

View full text Add to dashboard Cite

show abstract

“…WIRELESS Sensing has emerged as a viable option for implantable medical devices (IMDs) [ 1 ] with an essential need for power and device size minimizations. Numerous works and approaches for neural recording and wireless transmission/reception using integrated CMOS circuits have been reported with robust functionalities [ 2 ], [ 3 ], [ 4 ], [ 5 ], [ 6 ], [ 7 ], [ 8 ], [ 9 ], [ 10 ], [ 11 ], [ 12 ], [ 13 ]. Power-efficient brain machine interface circuits for neural recording with feature extraction have also been reported [ 14 ], [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Circuit-Level Modeling and Simulation of Wireless Sensing and Energy Harvesting With Hybrid Magnetoelectric Antennas for Implantable Neural Devices

Das

Nasrollahpour

et al. 2023

IEEE Open J. Circuits Syst.

Self Cite

View full text Add to dashboard Cite

A magnetoelectric antenna (ME) can exhibit the dual capabilities of wireless energy harvesting and sensing at different frequencies. In this article, a behavioral circuit model for hybrid ME antennas is described to emulate the radio frequency (RF) energy harvesting and sensing operations during circuit simulations. The ME antenna of this work is interfaced with a CMOS energy harvester chip towards the goal of developing a wireless communication link for fully integrated implantable devices. One role of the integrated system is to receive pulsemodulated power from a nearby transmitter, and another role is to sense and transmit low-magnitude neural signals.The measurements reported in this paper are the first results that demonstrate simultaneous low-frequency wireless magnetic sensing and high-frequency wireless energy harvesting at two different frequencies with one dual-mode ME antenna. The proposed behavioral ME antenna model can be utilized during design optimizations of energy harvesting circuits. Measurements were performed to validate the wireless power transfer link with an ME antenna having a 2.57 GHz resonance frequency connected to an energy harvester chip designed in 65nm CMOS technology. Furthermore, this dual-mode ME antenna enables concurrent sensing using a carrier signal with a frequency that matches the second 63.63 MHz resonance mode. A wireless test platform has been developed for evaluation of ME antennas as a tool for neural implant design, and this prototype system was utilized to provide first experimental results with the transmission of magnetically modulated action potential waveforms. W

show abstract