Detection of Unfocused EEG Epochs by the Application of Machine Learning Algorithm.

Electroencephalography (EEG) is a non-invasive method used to track human brain activity over time. The time-locked EEG to an external event is known as event-related potential (ERP). ERP can be a biomarker of human perception and other cognitive processes.

Dynamic Time-frequency Feature Extraction for Brain Activity Recognition.

The biomedical signal classification accuracy on motor imagery is not always satisfactory, partially because not all the important features have been effectively extracted. This paper proposes an improved dynamic feature extraction approach based on a time-frequency representation and an optimal sequence similarity measurement. Since the wavelet packet decomposition (WPD) generates more detailed signal variation information and the dynamic time warping (DTW) helps optimally measure the sequence similarity, more important features are kept for classification.

A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Objectives: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The purpose of this study was to determine if PCS following mild TBI can be predicted during the initial presentation to an emergency department (ED) using a novel robotic-assisted assessment of neurologic function.

The microfluidics of the eccrine sweat gland, including biomarker partitioning, transport, and biosensing implications.

Non-invasive and accurate access of biomarkers remains a holy grail of the biomedical community. Human eccrine sweat is a surprisingly biomarker-rich fluid which is gaining increasing attention. This is especially true in applications of continuous bio-monitoring where other biofluids prove more challenging, if not impossible.

An evaluation of exhaled flow measuring mouthpieces for breath sampling devices.

A study is conducted to determine the dimensions of an exhaled flow measuring mouthpiece for a breath-sampling device that requires breathing for an extended period of time. Fleisch, Pitot and Venturi type differential pressure based flow measuring mouthpieces of various dimensions are evaluated. Inner diameters (IDs) of the cylinder shaped Fleisch, Pitot and Venturi mouthpieces are varied from 5mm to 25mm.