Long-term epileptic EEG classification via 2D map** and textural features

K Samiee, S Kiranyaz, M Gabbouj… - Expert Systems with …, 2015 - Elsevier
Abstract Interpretation of long-term Electroencephalography (EEG) records is a tiresome
task for clinicians. This paper presents an efficient, low cost and novel approach for patient …

A particle swarm algorithm optimization‐based SVM–KNN algorithm for epileptic EEG recognition

X Wang, Y Ling, X Ling, X Li, Z Li, K Hu… - … Journal of Intelligent …, 2022 - Wiley Online Library
Epilepsy is a disease caused by abnormal discharges in the central nervous system.
Automatic detection and accurate identification of epileptic seizures based on …

Design on a wireless mechanomyography acquisition equipment and feature selection for lower limb motion recognition

H Zhang, X Wang, Y Zhang, G Cao, C **a - Biomedical Signal Processing …, 2022 - Elsevier
Mechanomyography (MMG) is a kind of biomedical signal with great research value. This
paper designed a novel wireless MMG signal acquisition system composed of modular …

Multi-objective evolutionary approach for the performance improvement of learners using ensembling feature selection and discretization technique on medical data

D Singh, DS Sisodia, P Singh - Current medical imaging, 2020 - ingentaconnect.com
Background: Biomedical data is filled with continuous real values; these values in the
feature set tend to create problems like underfitting, the curse of dimensionality and increase …

Linear discriminant analysis based genetic algorithm with generalized regression neural network–a hybrid expert system for diagnosis of diabetes

J Jayashree, SA Kumar - Programming and Computer Software, 2018 - Springer
Among the applications enabled by expert systems, disease diagnosis is a particularly
important one. Nowadays, diabetes is found to be a complex health issue in human life …

Fusion of wavelet and morphological features for breast cancer diagnosis in ultrasound images

MM Eltoukhy, AK Farag… - Current Medical …, 2016 - ingentaconnect.com
Cancer remains one of the major concerns of deaths worldwide. Early detection is the key
point in reducing the cancer mortality. Automatic systems are needed to assist radiologists in …