Design, Development and Validation of a Portable Visual P300 Event-Related Potential Extraction System

Joshi, Rathin K.; S, Manu K; S, Hari R; Jayachandra, Mahesh; Pandya, Hardik J.

doi:10.1109/biocas54905.2022.9948657

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Signals were recorded from the following cortical areas: frontal: Fp1, Fp2, F7, F8, F3, F4, and Fz; Central: C3, C4, FC5, FC6, CP5, CP6, T3, T4, TP7, and TP8; Parietal: P3, P4, P7, P8, and Pz; and Occipital: O1 and O2. All electrodes were referenced to the Cz channel and grounded to the Fpz channel [42,43], and their impedances were kept below 10 kΩ. The acquired EEG data were band-pass filtered with a passband range of 4.0-45 Hz.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

Exploring EEG characteristics of multi-level mental stress based on human–machine system

Yao,

Gu,

Wang

et al. 2023

J. Neural Eng.

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Objective:The understanding of cognitive states is important for the development of human-machine systems, and one of the fundamental but challenging issues is the understanding and assessment of the operator's mental stress state in real task scenarios. Approach: In this paper, a virtual unmanned vehicle (UAV) driving task with multi-challenge-level was created to explore the operator's mental stress, and the human brain activity during the task was tracked in real time via EEG. A mental stress analysis dataset for the virtual UAV task was then developed and used to explore the neural activation patterns associated with mental stress activity. Finally, a multiple attention-based convolutional neural network (MACN) was constructed for automatic stress assessment using the extracted stress-sensitive neural activation features.Main Results:The statistical results of EEG power spectral density (PSD) showed that frontal θ-PSD decreased with increasing task difficulty, and central β-PSD increased with increasing task difficulty, indicating that neural patterns showed different trends under different levels of mental stress. The performance of the proposed MACN was evaluated based on the dimensional model, and results showed that average three-class classification accuracies of 89.49% / 89.88% were respectively achieved for arousal / valence. Significance: The results of this paper suggest that objective assessment of mental stress in a human-machine system based on a virtual UAV scenario is feasible, and the proposed method provides a promising solution for cognitive computing and applications in human-machine tasks.

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Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

Exploring EEG characteristics of multi-level mental stress based on human–machine system

Yao,

Gu,

Wang

et al. 2023

J. Neural Eng.

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show abstract

“…There two main approaches to circumvent these issues. The first is the use of frequency division multiplexing in the microwave domain [23] or utilization of photonic links with optional wavelength division multiplexing [24][25][26]. This allows the decrease of the heat inflow associated with cables at the cost of more sophisticated transmission of microwave signals.…”

Section: Introductionmentioning

confidence: 99%

Speeding up qubit control with bipolar single-flux-quantum pulse sequences

Vozhakov

Bastrakova

Klenov

et al. 2023

Quantum Sci. Technol.

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The development of quantum computers based on superconductors requires the improvement of the qubit state control approach aimed at the increase of the hardware energy efficiency. A promising solution to this problem is the use of superconducting digital circuits operating with single-flux-quantum (SFQ) pulses, moving the qubit control system into the cold chamber. However, the qubit gate time under SFQ control is still longer than under conventional microwave driving. Here we introduce the bipolar SFQ pulse control based on ternary pulse sequences. We also develop a robust optimization algorithm for finding a sequence structure that minimizes the leakage of the transmon qubit state from the computational subspace. We show that the appropriate sequence can be found for arbitrary system parameters from the practical range. The proposed bipolar SFQ control reduces a single qubit gate time by halve compared to nowadays unipolar SFQ technique, while maintaining the gate fidelity over 99.99%.

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Design, Development and Validation of a Portable Visual P300 Event-Related Potential Extraction System

Cited by 2 publications

References 17 publications

Exploring EEG characteristics of multi-level mental stress based on human–machine system

Exploring EEG characteristics of multi-level mental stress based on human–machine system

Speeding up qubit control with bipolar single-flux-quantum pulse sequences

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