Comparison of signal processing methods for reducing motion artifacts in high-density electromyography during human locomotion
Objective: High-density electromyography (EMG) is useful for studying changes in
myoelectric activity within a muscle during human movement, but it is prone to motion …
myoelectric activity within a muscle during human movement, but it is prone to motion …
Noise removal in EEG signals using SWT–ICA combinational approach
A Mishra, V Bhateja, A Gupta, A Mishra - Smart Intelligent Computing and …, 2019 - Springer
Electroencephalogram (EEG) represents the electrical activity of the brain recorded by
placing several electrodes on the scalp. EEG signals are complex in nature and consist of …
placing several electrodes on the scalp. EEG signals are complex in nature and consist of …
Improved multi-layer wavelet transform and blind source separation based ECG artifacts removal algorithm from the sEMG signal: in the case of upper limbs
W Lu, D Gong, X Xue, L Gao - Frontiers in Bioengineering and …, 2024 - frontiersin.org
Introduction: Surface electromyogram (sEMG) signals have been widely used in human
upper limb force estimation and motion intention recognition. However, the …
upper limb force estimation and motion intention recognition. However, the …
Statistical analysis of EMG-based features for different hand movements
CN Savithri, E Priya - … Computing and Applications: Proceedings of the …, 2019 - Springer
The electrical activity of the muscles is analyzed by surface Electromyography (sEMG). EMG
signals are the essential source of control for upper limb prosthetics and orthotics and also …
signals are the essential source of control for upper limb prosthetics and orthotics and also …
Feature fusion and classification of EEG/EOG signals
A Mishra, V Bhateja, A Gupta, A Mishra… - Soft Computing and …, 2019 - Springer
Electroencephalogram (EEG) refers to the brain waves, whereas electrooculogram (EOG)
represents the eyeblinking signals. Both the signals possess complexities and various …
represents the eyeblinking signals. Both the signals possess complexities and various …
On analysis of suitable wavelet family for processing of cough signals
A Srivastava, V Bhateja, A Shankar… - Frontiers in Intelligent …, 2020 - Springer
This paper presents an analysis on preprocessing of cough sound signals using continuous
wavelet transform (CWT) and discrete wavelet transform (DWT) wavelet filter banks. The …
wavelet transform (CWT) and discrete wavelet transform (DWT) wavelet filter banks. The …
Autoregressive modeling-based feature extraction of EEG/EOG signals
A Gupta, V Bhateja, A Mishra, A Mishra - Information and Communication …, 2019 - Springer
Electroencephalogram (EEG) records the electrical patterns of the brain, whereas
electrooculogram (EOG) represents the same for eye. Both are complex and are challenged …
electrooculogram (EOG) represents the same for eye. Both are complex and are challenged …
Combination of wavelets and hard thresholding for analysis of cough signals
A Taquee, V Bhateja, A Shankar… - 2018 Second World …, 2018 - ieeexplore.ieee.org
Cough signals are fundamental symptom of respiratory diseases. During the acquisition of
the cough signals via microphone, it gets contaminated due to the noise present in the …
the cough signals via microphone, it gets contaminated due to the noise present in the …
Artificial neural networks based fusion and classification of EEG/EOG signals
V Bhateja, A Gupta, A Mishra, A Mishra - Information Systems Design and …, 2019 - Springer
Electroencephalogram (EEG) denotes to the brain waves whereas Electrooculogram (EOG)
denotes the eye blinking signals. Both the signals are accompanied by various artifacts …
denotes the eye blinking signals. Both the signals are accompanied by various artifacts …
[图书][B] A Novel Two-Factor Mobile User Authenticationscheme Using Patterns and Surface EMG-Basedbiometrics
Q Li - 2020 - search.proquest.com
Screen unlock is one of the most important mechanisms to protect sensitive data and
information stored on mobile devices from unauthorized accesses. As one of the most …
information stored on mobile devices from unauthorized accesses. As one of the most …