Aug 2026· Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi· Vol 43 4, pp.
741-750
· 0 citations
Medicine
TL;DR
The proposed improved FSWT method can be used for EOG artifact suppression in single-channel EEG signals without relying on multichannel spatial redundancy and could reduce the high-amplitude fluctuations caused by eye blinks while preserving the main EEG rhythm structures under real-world acquisition conditions.
This paper presents methods of digital processing of electroencephalographic (EEG) signals and machine learning algorithms for assessing human cognitive states based on an open-access EEG dataset. Electroencephalography is a widely used non-invasive technique for studying brain functional activity due to its high tempo...
M. A. Ibrayeva, Y. Gerasimova· Bulletin of Manash Kozybayev...· 0 citations
Electroencephalography (EEG) provides a non-invasive means of monitoring brain activity and is widely used to investigate neural responses to cognitive, emotional, and sensory stimuli. Among EEG frequency bands, alpha (8–12 Hz) activity is commonly associated with relaxation and internal attention, whereas beta (12–35...
E. Yusibani, Ayu Mahara, Fahyumi Senye et al.· Positron· 0 citations
Single-channel electroencephalography (EEG) is attractive for wearable neurotechnology and brain–computer interface (BCI) applications, including assistive interfaces and clinical monitoring, but artifact suppression is difficult when auxiliary channels, artifact labels, or user-selected clean baseline segments are una...
Usman Qamar Shaikh, A. Kalra, Andrew Lowe et al.· IEEE transactions on neural...· 0 citations
The effectiveness of the proposed approach for artifact management in wearable eyewear EEG, while maintaining a design compatible with resource-constrained wearable implementations, is supported.
Andrea Costanzo Palmisciano, A. Farabbi, Francesco Latino et al.· Physiological Measurement· 0 citations
This work presents a computational method for detecting ocular artifacts in EEG/EOG signals, focusing on Brain-Computer Interfaces and Assistive Technologies. The system uses an Arduino Nano and AD8232 module for real-time acquisition and processing, implementing an algorithm based on voltage thresholds and signal deri...
Yuri Silveira Pereira, Daniel Dargelio Ferrão Luft, Matheus Gularte Tavares et al.· Revista de Informática Teóri...· 0 citations
Electrocardiogram (ECG) artifact contamination frequently occurs in surface electromyography (sEMG) when muscles are recorded near the heart. Existing neural network (NN)-based approaches typically perform waveform-level end-to-end denoising with pointwise losses, but often fail to preserve the spectral structures of s...
Cheng-Han Shih, Kuan-Chen Wang, Kai-Chun Liu et al.· 0 citations
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