A 0.8-V 82.9-$\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver

Lee, Jae-Hyuk; Lee, Kyoung-Rog; Ha, Unsoo; Kim, Ji-Hoon; Lee, Kwonjoon; Gweon, Surin; Jang, Jongsoo; Yoo, Hoi‐Jun

doi:10.1109/jssc.2018.2888845

Cited by 33 publications

(15 citation statements)

References 18 publications

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“…While electrophysiological sensing instrumentation is well developed, there are significant ongoing research efforts into improving the sensing performance [2]. This is in terms of both the hardware, making it smaller, more robust to artefacts and easier to use (for example [3], [4]), and the electrodes, with a wide range of electrode materials and approaches investigated in recent years (for example [5], [6]). These new electrodes particularly have the objective of not requiring a conductive gel to lower the body contact impedance [7].…”

Section: Introductionmentioning

confidence: 99%

Investigating Gelatine Based Head Phantoms for Electroencephalography Compared to Electrical and Ex Vivo Porcine Skin Models

Owda

Casson

2021

IEEE Access

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Gelatine based phantoms for electrophysiology are becoming widely used as they allow the controlled validation of new electrode and new instrumentation designs. The phantoms mimic the electrical properties of the human body and allow a pre-recorded electrophysiology signal to be played-out, giving a known signal for the novel electrode or instrumentation to collect. Such controlled testing is not possible with on-person experiments where the signal to be recorded is intrinsically unknown. However, despite the rising interest in gelatine based phantoms there is relatively little public information about their electrical properties and accuracy, how these vary with phantom formulation, and across both time and frequency. This paper investigates ten different phantom configurations, characterising the impedance of the gelatine and electrodes, comparing this to both previously reported electrical models of Ag/AgCl electrodes placed on skin and to a model made from ex vivo porcine skin. This article shows how the electrical properties of the phantoms can be tuned using different concentrations of gelatine and of sodium chloride (NaCl) added to the mixture, and how these properties vary over the course of seven days for a.c. frequencies in the range 20-1000 Hz. The results demonstrate that gelatine phantoms can accurately mimic the frequency response properties of the body-electrode system to allow for the controlled testing of new electrode and instrumentation designs.INDEX TERMS Gelatine phantoms, tissue-mimicking, electrical properties, electrophysiology, electroencephalography (EEG), electrocardiogram (ECG).

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Section: Introductionmentioning

confidence: 99%

Investigating Gelatine Based Head Phantoms for Electroencephalography Compared to Electrical and Ex Vivo Porcine Skin Models

Owda

Casson

2021

IEEE Access

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“…These characteristics make compact devices to be fixed in place softly and firmly. In terms of electrical circuit development, bio-signal readout circuits have been increasingly implemented in developing miniaturized and power-efficient in-ear EEG recording systems [ 86 , 87 ]. The readout modules utilize a CCIA to reduce the noise level and combine other IC schemes to record exact in-ear EEG signal.…”

Section: Miniaturization Techniques For Eeg Recording Hardwarementioning

confidence: 99%

Miniaturization for wearable EEG systems: recording hardware and data processing

2022

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As more people desire at-home diagnosis and treatment for their health improvement, healthcare devices have become more wearable, comfortable, and easy to use. In that sense, the miniaturization of electroencephalography (EEG) systems is a major challenge for developing daily-life healthcare devices. Recently, because of the intertwined relationship between EEG recording and processing, co-research of EEG recording hardware and data processing has been emphasized for whole-in-one miniaturized EEG systems. This paper introduces miniaturization techniques in analog-front-end hardware and processing algorithms for such EEG systems. To miniaturize EEG recording hardware, various types of compact electrodes and mm-sized integrated circuits (IC) techniques including artifact rejection are studied to record accurate EEG signals in a much smaller manner. Active electrode and in-ear EEG technologies are also researched to make small-form-factor EEG measurement structures. Furthermore, miniaturization techniques for EEG processing are discussed including channel selection techniques that reduce the number of required electrode channel and hardware implementation of processing algorithms that simplify the EEG processing stage.

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“…Although in-ear EEG is more immune to eye blinking, it is yet vulnerable to artifacts caused by jaw and head movement because of its passive electrode with long wire connection (Kappel et al, 2014;Kappel et al, 2017). Following on-scalp EEG, dry and active electrode circuits using impedance boosting, DC servo loop, and active shielding techniques are also applied to the in-ear EEG system for motion artifact reduction (Zhou et al, 2016;Kappel and Kidmose, 2018;Kappel et al, 2019b;Lee et al, 2019). All of these circuit architectures can be implemented by recent advanced integrated circuit (IC) technology for miniaturization.…”

Section: Methods To Reduce In-ear Electroencephalography Motion Artifactsmentioning

confidence: 99%

“…All of these circuit architectures can be implemented by recent advanced integrated circuit (IC) technology for miniaturization. Furthermore, measuring in-ear EEG using wireless communication technology such as Bluetooth low energy (BLE) is utilized to diminish the effects of wire connections (Dong et al, 2016;Lee et al, 2019;Kaveh et al, 2020). Therefore, it is possible to minimize the size of the device and to transfer recorded EEG data to the mobile phones wirelessly, enabling further reduction of motion artifacts.…”

Section: Methods To Reduce In-ear Electroencephalography Motion Artifactsmentioning

confidence: 99%

Motion Artifact Removal Techniques for Wearable EEG and PPG Sensor Systems

et al. 2021

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Removal of motion artifacts is a critical challenge, especially in wearable electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed to daily movements. Recently, the significance of motion artifact removal techniques has increased since EEG-based brain–computer interfaces (BCI) and daily healthcare usage of wearable PPG devices were spotlighted. In this article, the development on EEG and PPG sensor systems is introduced. Then, understanding of motion artifact and its reduction methods implemented by hardware and/or software fashions are reviewed. Various electrode types, analog readout circuits, and signal processing techniques are studied for EEG motion artifact removal. In addition, recent in-ear EEG techniques with motion artifact reduction are also introduced. Furthermore, techniques compensating independent/dependent motion artifacts are presented for PPG.

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A 0.8-V 82.9-$\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver

Cited by 33 publications

References 18 publications

Investigating Gelatine Based Head Phantoms for Electroencephalography Compared to Electrical and Ex Vivo Porcine Skin Models

Investigating Gelatine Based Head Phantoms for Electroencephalography Compared to Electrical and Ex Vivo Porcine Skin Models

Miniaturization for wearable EEG systems: recording hardware and data processing

Motion Artifact Removal Techniques for Wearable EEG and PPG Sensor Systems

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