Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface

Author:

Zohirov Kudratjon1

Affiliation:

1. Karshi branch of the Tashkent University of Information Technologies named after Mahammad al-Khwarizmi,Information technologies,Karshi,Uzbekistan

Publisher

IEEE

Reference11 articles.

1. Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms

2. Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms

3. A new dataset for the detection of hand movements based on the SEMG signal

4. Implantation of information technologies in rehabilitation;zohirov;STEMM - Science - Technology - Education - Mathematics – Medicine” of Uzbek-lsrael joint international conference National University of Uzbekistan Holon Institute Of Technology Eye From Zion - Medical Humanitarian Mission,2019

5. Brain–computer interfaces for communication and control

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1. Development of Fully Synthetic Medical Database Shuffling Method;Lecture Notes in Computer Science;2024

2. A New Approach to Determining the Active Potential Limit of an Electromyography Signal;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

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