Gait analysis in neurological populations: Progression in the use of wearables
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …
neurological conditions but also to monitor disease progression as it contributes to the …
A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems
Considerable scientific and technological efforts have been devoted to develop
neuroprostheses and hybrid bionic systems that link the human nervous system with …
neuroprostheses and hybrid bionic systems that link the human nervous system with …
Techniques of EMG signal analysis: detection, processing, classification and applications
MBI Reaz, MS Hussain, F Mohd-Yasin - Biological procedures online, 2006 - Springer
Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable
Hardware Chip (EHW) development, and modern human computer interaction. EMG signals …
Hardware Chip (EHW) development, and modern human computer interaction. EMG signals …
Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition
Surface electroencephalography is a standard and noninvasive way to measure electrical
brain activity. Recent advances in artificial intelligence led to significant improvements in the …
brain activity. Recent advances in artificial intelligence led to significant improvements in the …
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
AB Ajiboye, RF Weir - IEEE transactions on neural systems and …, 2005 - ieeexplore.ieee.org
This paper presents a heuristic fuzzy logic approach to multiple electromyogram (EMG)
pattern recognition for multifunctional prosthesis control. Basic signal statistics (mean and …
pattern recognition for multifunctional prosthesis control. Basic signal statistics (mean and …
Wearable sensors in sports for persons with disability: A systematic review
The interest and competitiveness in sports for persons with disabilities has increased
significantly in the recent years, creating a demand for technological tools supporting …
significantly in the recent years, creating a demand for technological tools supporting …
Review of electromyography onset detection methods for real-time control of robotic exoskeletons
CR Carvalho, JM Fernández, AJ Del-Ama… - … of neuroengineering and …, 2023 - Springer
Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …
activity associated with muscle contraction and is widely applied in Biomechanics …
Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes
X Zhang, P Zhou - Journal of Electromyography and Kinesiology, 2012 - Elsevier
Voluntary surface electromyogram (EMG) signal is sometimes contaminated by spurious
background spikes of both physiological and extrinsic or accidental origins. A novel method …
background spikes of both physiological and extrinsic or accidental origins. A novel method …
Electromyogram (EMG) signal detection, classification of EMG signals and diagnosis of neuropathy muscle disease
Electromyography (EMG) signals is usable in order to applications of biomedical, clinical,
modern human computer interaction and Evolvable Hardware Chip (EHW) improvement …
modern human computer interaction and Evolvable Hardware Chip (EHW) improvement …
Correlation-based decomposition of surface electromyograms at low contraction forces
The paper studies a surface electromyogram (SEMG) decomposition technique suitable for
identification of complete motor unit (MU) firing patterns and their motor unit action potentials …
identification of complete motor unit (MU) firing patterns and their motor unit action potentials …