Classification of date fruits into genetic varieties using image analysis
A great number of fruits are grown around the world, each of which has various types. The
factors that determine the type of fruit are the external appearance features such as color …
factors that determine the type of fruit are the external appearance features such as color …
Diagnosis of urinary tract infection based on artificial intelligence methods
Abstract Background and Objective Urinary tract infection (UTI) is a common disease
affecting the vast majority of people. UTI involves a simple infection caused by urinary tract …
affecting the vast majority of people. UTI involves a simple infection caused by urinary tract …
Neuromuscular disorders detection through time-frequency analysis and classification of multi-muscular EMG signals using Hilbert-Huang transform
JR Torres-Castillo, CO Lopez-Lopez… - … Signal Processing and …, 2022 - Elsevier
Electromyographic (EMG) signal analysis plays a vital role in diagnosing neuromuscular
disorders (NMD). It is based on the clinician's experience in interpreting the signal's shape …
disorders (NMD). It is based on the clinician's experience in interpreting the signal's shape …
Application of PSO-RBF neural network in gesture recognition of continuous surface EMG signals
M Yu, G Li, D Jiang, G Jiang, F Zeng… - Journal of Intelligent …, 2020 - content.iospress.com
In view of the fact that independent gesture recognition cannot fully meet the natural,
convenient and effective needs of actual human-computer interaction, this paper analyzes …
convenient and effective needs of actual human-computer interaction, this paper analyzes …
Evaluation of EMG signal time domain features for hand gesture distinction
R Barioul, S Fakhfakh, H Derbel… - 2019 16th International …, 2019 - ieeexplore.ieee.org
This paper illustrates a collection of wide used time domain features of EMG signal,
investigates their ability to distinguish hand gestures from one subject performing six …
investigates their ability to distinguish hand gestures from one subject performing six …
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach
Surface electromyography (EMG) serves as a pivotal tool in hand gesture recognition and
human-computer interaction, offering a non-invasive means of signal acquisition. This study …
human-computer interaction, offering a non-invasive means of signal acquisition. This study …
Evaluating the effect of the cutoff frequencies during the pre-processing stage of motor imagery EEG signals classification
R Salazar-Varas, RA Vazquez - Biomedical Signal Processing and Control, 2019 - Elsevier
Brain signals classification is an interesting topic due its different applications not only in the
medical field, but also in the development of technology. Due to the features of the brain …
medical field, but also in the development of technology. Due to the features of the brain …
Development of early stage diabetes prediction model based on stacking approach
Sažetak Diabetes is a disease that may pose direct or indirect risks in terms of human
health. Early diagnosis can minimize the potential harm of this disease to the body and …
health. Early diagnosis can minimize the potential harm of this disease to the body and …
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data
Cervical spondylosis (CS) recognition systems provide regular screening services outside of
a hospital and promote early detection and treatment of CS. However, in this paper, we …
a hospital and promote early detection and treatment of CS. However, in this paper, we …
DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications
S Jose, S Thomas George, PS Roopchand - Signal, Image and Video …, 2020 - Springer
Automated diagnosis of neuromuscular disorders such as myopathy and neuropathy can be
done by measuring and analyzing the nonlinear and non-stationary trends in …
done by measuring and analyzing the nonlinear and non-stationary trends in …