Results 101 to 110 of about 3,887,920 (279)

Development of electroencephalogram (EEG) signals classification techniques

, 2019
Electroencephalography (EEG) is one of the most important signals recorded from humans. It can assist scientists and experts to understand the most complex part of the human body, the brain. Thus, analysing EEG signals is the most preponderant process to
Al Ghayab, Hadi Ratham Ghayab
core   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R, Gan, J Q, Asensio-Cubero, J, Gan, JQ, Palaniappan, Ramaswamy   +4 more
core   +1 more source

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

Advanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li, Ryman Hashem, Ningzhe Hou, Perla Maiolino, Louis Halamek, Liang He   +5 more
wiley   +1 more source

A motor imagery EEG signal optimized processing algorithm

Alexandria Engineering Journal
Feature extraction and classification is a difficult area in motor imagery electroencephalogram (EEG) signal processing. In order to improve the classification accuracy of EEG signals, both a feature extraction method based on the combination of LMD-CSP ...
Xiaozhong Geng, Xi Zhang, Mengzhe Yue, Weixin Hu, Linen Wang, Xintong Zhang, Ping Yu, Duo Long, Hui Yan   +8 more
doaj   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

Advanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti, Salvatore Maria Aglioti   +1 more
wiley   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Preserving Motor Features by Alternative Re‐Referencing to Remove Heart Artifact on the Stentrode

Advanced Science, EarlyView.
Endovascular brain‐computer interfaces record neural activity from within cerebrovasculature, at the expense of electrocardiogram contamination. Band‐limited independent component analysis separates this heart‐based artifact from task‐relevant neural activity in each frequency band, enabling the reconstruction of cleaner neural recordings without the ...
Ariel K. Feldman, Kriti Kacker, Rahyun Yun, Nikole Chetty, James Bennett, Peter E. Yoo, Raul G. Nogueira, Jennifer L. Collinger, Nicholas L. Opie, Thomas J. Oxley, David F. Putrino, Douglas J. Weber   +11 more
wiley   +1 more source

Application of Neutral Network by EEG Signal Classification

Advances in Electrical and Electronic Engineering, 2008
Analysis of long-term EEG requires that it is segmented into piece-wise stationary sections and classified. Neural network architecture is introduced for the problem of classification of EEG signals. This paper deals with basic signal classification into
Michal Gala, Jitka Mohylova, Vladimir Krajca   +2 more
doaj  

Efficient EEG channel-and-frequency-band selection for epileptic seizure classification using multi-objective optimization

Frontiers in Neurology
ObjectiveWith the rapid development of wearable electroencephalogram (EEG) devices, the epileptic seizure classification system is required to deliver reliable performance under real-time and resource-constrained conditions.
Wenjie Chen, Xinqi Lei, Hainan Guo, Li Zhuang   +3 more
doaj   +1 more source

Targeting the KCNC3‐Dependent Anterior Insular‐Lateral Orbitofrontal Cortex Glutamatergic Circuit Attenuates Post‐Traumatic Anxiety

Advanced Science, EarlyView.
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li, Xiao‐Bo Qian, Hai‐Long Zhang, Di Li, Ling Ji, Xin‐Chun Xu, Jia‐Sheng Ding, Li‐Jun Yin, Li Zhang, Guang‐Yin Xu, Rong Gao   +10 more
wiley   +1 more source