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Scalp

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[PLASTIC SURGERY OF SCALP AND FACIAL PLEXIFORM NEUROFIBROMAS].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To explore the plastic surgical treatment and the way to reduce hemorrhage for scalp and facial plexiform neurofibromas.

A Fuzzy-Based Fusion Method of Multimodal Sensor-Based Measurements for the Quantitative Evaluation of Eye Fatigue on 3D Displays.

Sensors (Basel, Switzerland)
With the rapid increase of 3-dimensional (3D) content, considerable research related to the 3D human factor has been undertaken for quantitatively evaluating visual discomfort, including eye fatigue and dizziness, caused by viewing 3D content. Variou...

Robotic Follicular Unit Graft Selection.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.]
BACKGROUND: The use of robotic technology to harvest grafts in a follicular unit extraction (FUE) hair transplant procedure has been available since 2011. A new capability of the robotic system is to harvest follicular units based on the number of ha...

Emotion classification using single-channel scalp-EEG recording.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillation in the neural processing of visual stimuli perceived as fear or threatening scene. Recent studies showed that neural oscillations' patterns in Theta...

Focal Onset Seizure Prediction Using Convolutional Networks.

IEEE transactions on bio-medical engineering
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to ...

High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Computational intelligence and neuroscience
High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs. However,...

Classification of Pre-Clinical Seizure States Using Scalp EEG Cross-Frequency Coupling Features.

IEEE transactions on bio-medical engineering
OBJECTIVE: This work proposes a machine-learning based system for a scalp EEG that flags an alarm in advance of a clinical seizure onset.

Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls.

Brain topography
Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Mult...

Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.

NeuroImage. Clinical
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detecti...