Automated detection and removal of artifacts from sEMG signals based on fuzzy inference system and signal decomposition methods
Surface electromyography (sEMG) signal quality decreases when it is contaminated by
different types of artifacts. Detection and removal of the contaminants from sEMG signals …
different types of artifacts. Detection and removal of the contaminants from sEMG signals …
Advanced Signal Processing and Machine/Deep Learning Approaches on a Preprocessing Block for EEG Artifact Removal: A Comprehensive Review
With recent technological and medical advancements, there is an emergence of new EEG (
electroencephalogram) signal applications such as brain computer interface (BCI) …
electroencephalogram) signal applications such as brain computer interface (BCI) …
Hybrid approach: combining ecca and sscor for enhancing ssvep decoding
Currently, steady-state visual evoked potentials (SSVEPs) are applied in a variety of fields.
In these applications, spatial filtering is the most commonly used method for decoding …
In these applications, spatial filtering is the most commonly used method for decoding …
Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features
The brain-computer interfaces (BCIs) facilitate the users to exploit information encoded in
neural signals, specifically electroencephalogram (EEG), to control devices and for neural …
neural signals, specifically electroencephalogram (EEG), to control devices and for neural …
[HTML][HTML] ПЕРСПЕКТИВЫ СОЗДАНИЯ ГИБРИДНОЙ СИСТЕМЫ УПРАВЛЕНИЯ ПРОТЕЗАМИ: ОБЗОР
АМ Самандари, АН Афонин - Модели, системы, сети в …, 2024 - cyberleninka.ru
Актуальность и цели. Облегчение адаптации, физической реабилитации и подготовки к
протезированию людей, лишившихся части тела, имеет огромное значение для поиска …
протезированию людей, лишившихся части тела, имеет огромное значение для поиска …
A Fuzzy Inference System and Stationary Wavelet Decomposition for Identification and Removal of ECG Artifact from sEMG Signals
AY Mohamed, A Said, E Siham - 2024 4th International …, 2024 - ieeexplore.ieee.org
Surface electromyography signal (sEMG) is one of the most widely used biomedical signals
in various fields such as rehabilitation, control, medical diagnosis, sport, etc. However, the …
in various fields such as rehabilitation, control, medical diagnosis, sport, etc. However, the …
[引用][C] Comprehensive Review of Noninvasive Brain-Computer Interfaces for Controlling Robotic Arms
A robotic arm is a mechanical device with a given number of Degrees of Freedom (DoFs)
that mimics the functions of a human arm and performs any desired task, such as grasping …
that mimics the functions of a human arm and performs any desired task, such as grasping …