Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophic cardiomyopathy in transport workers

R Nasimov, N Nasimova, K Botirjon… - … Conference on Next …, 2022 - Springer
Automatic classification of the different types of cardiomyopathies is desirable, but has been
done less with a convolutional neural network (CNN). The aim of this study was to evaluate …

Hybrid method for evaluating feature importance for predicting chronic heart diseases

R Nasimov, N Nasimova… - … Conference on Information …, 2022 - ieeexplore.ieee.org
Predicting the impact of different factors on the patient's health is as important as diagnosing
diseases, especially when monitoring patients with chronic diseases. To perform this by …

Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

K Zohirov - 2022 International Conference on Information …, 2022 - ieeexplore.ieee.org
In this article written about a scientific research on the classification of the sensitive
movements of human fingers through a single-channel device. A high degree of …

Portable Facial Expression System Based on EMG Sensors and Machine Learning Models

PA Sanipatín-Díaz, PD Rosero-Montalvo… - Sensors, 2024 - mdpi.com
One of the biggest challenges of computers is collecting data from human behavior, such as
interpreting human emotions. Traditionally, this process is carried out by computer vision or …

Development of Fully Synthetic Medical Database Shuffling Method

R Nasimov, N Nasimova, B Mumimov… - … Conference on Next …, 2023 - Springer
The importance of having a comprehensive and accurate medical database cannot be
overstated. Such databases are crucial for various purposes including research, analysis …

A New Approach to Determining the Active Potential Limit of an Electromyography Signal

K Zohirov - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
In the realm of electromyography (EMG) signal processing, accurately determining the active
potential is paramount. This article unveils a groundbreaking approach to assessing the …

Analysis of Human Brain Signal Rhythms Through a Bitalino Device

G Alisher - 2022 International Conference on Information …, 2022 - ieeexplore.ieee.org
this article discusses methods based on the EEG signal when creating brain-computer
interface (BCI) applications and systems. In this, the stages of creating BCI systems with an …

[PDF][PDF] Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophic cardiomyopathy in transport workers

M Abdullayev - researchgate.net
Automatic classification of the different types of cardiomyopathies is desirable, but has been
done less with a convolutional neural network (CNN). The aim of this study was to evaluate …

SPORT BIOMEXANIKASIDA ISHLATILUVCHI PORTATIV O 'LCHOV QURILMALARI VA ULARNING TAHLILI

K Zohirov, S Boyqobilov, Q Madatov - … AND ARTIFICIAL INTELLIGENCE, 2024 - dtai.tsue.uz
SPORT BIOMEXANIKASIDA ISHLATILUVCHI PORTATIV O‘LCHOV QURILMALARI VA
ULARNING TAHLILI | DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE Skip to …

ЭЛЕКТРОМИОГРАФИЯ СИГНАЛИНИНГ ФАОЛ ПОТЕНЦИАЛ ЧЕГАРАСИНИ АНИҚЛАШДА ЯНГИЧА ЁНДАШУВ

Қ Зоҳиров - DIGITAL TRANSFORMATION AND ARTIFICIAL …, 2023 - dtai.tsue.uz
Ушбу мақолада электромиография сигналининг актив потенциал қисмини аниқлашда
янгича усул келтирилган ва бошқа мавжуд алгоритмлар билан солиштирилган. Усулда …