A review of the filtering techniques used in EEG signal processing

D Sen, BB Mishra, PK Pattnaik - 2023 7th International …, 2023 - ieeexplore.ieee.org
In this paper, a general overview of the different kinds of filters, their applications in real
world and the various pitfalls of filtering have been briefly discussed with a special focus on …

[HTML][HTML] Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review

I Bagri, K Tahiry, A Hraiba, A Touil, A Mousrij - Vibration, 2024 - mdpi.com
Many industrial processes, from manufacturing to food processing, incorporate rotating
elements as principal components in their production chain. Failure of these components …

Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion–Based Method with Deep Learning Algorithms

L Wang, H Li, H Wu, Y Yao, C Yu, W Umer… - … of Management in …, 2024 - ascelibrary.org
Construction equipment operators (CEOs), who are required to work in seated positions for
prolonged periods, often develop excessive mental fatigue, causing human error-related …

An adaptive optimized schizophrenia electroencephalogram disease prediction framework

V Gupta, A Kanungo, NK Saxena, P Kumar… - Wireless Personal …, 2023 - Springer
Electroencephalogram (EEG) signal analysis has become an interesting and required area
in the medical industry to analyze brain function for different diseases. But, the EEG signal's …

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review

D Sharifrazi, N Javed, JH Joloudari… - arXiv preprint arXiv …, 2024 - arxiv.org
Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is
assessed by analyzing signal data such as electroencephalography (EEG), which can offer …

Smart cushion-based non-invasive mental fatigue assessment of construction equipment operators: A feasible study

L Wang, H Li, Y Yao, D Han, C Yu, W Lyu… - Advanced Engineering …, 2023 - Elsevier
Mental fatigue has a considerable influence on the completion of work as well as the safety
and health of construction equipment operators who have been exposed to human …

Fault diagnosis of check valve based on KPLS optimal feature selection and kernel extreme learning machine

X Yuan, Y Fan, C Zhou, X Wang, G Zhang - Coatings, 2022 - mdpi.com
The check valve is the core part of high-pressure diaphragm pumps. It has complex
operation conditions and has difficulty characterizing fault states completely with its single …

Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning

C Kalpana, G Mohanbabu - Biomedical Signal Processing and Control, 2024 - Elsevier
Early diagnosis of epilepsy is crucial for patient survival and well-being, making it essential
to develop effective methods for early disease detection based on health parameters. This …

Adaptive control of a class of uncertain nonlinear systems using brain emotional learning and Legendre polynomials

F Amiri, S Khorashadizadeh - Transactions of the Institute of …, 2024 - journals.sagepub.com
In this paper, an adaptive controller for a class of uncertain nonlinear systems is presented
using a combination of Legendre polynomials and brain emotional learning-based …

Preventive performance of electroencephalography: A comparative investigation on artificial intelligence models for epileptic seizure forecasting

S Mounika, SR Reeja - Computer Science Engineering, 2024 - taylorfrancis.com
Epilepsy constitutes one of the most frequent illnesses of the brain. Early seizure prediction
has a significant impact on the lives of those suffering from epilepsy. A few primary goals in …