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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
The measure of Generalized Partial Directed Coherence (GPDC) and surrogate data analysis of intracranial electroencephalographic (iEEG) signals can be used to determine the functional connections between brain sites. Characteristics of the nodes of the thus derived network during seizures from 9 patients with temporal lobe epilepsy were studied using centrality measures (Degree, Eigenvector, Katz,...
The use of wearable devices in health applications is not only being utilized in illness, it is also a major area of interest in fitness. Wearable devices for fitness tracking are available to consumers and can measure and calculate important fitness data trends based on movement and physiological parameters. Accelerometers are the sensors that provide information on the movement parameters of step...
In this paper, a novel approach to locate the activation points of atrial fibrillation (AF) is proposed. This new method is built upon machine learning, where common parameters, such as dominant frequency, first harmonic frequency, etc., are adopted. Features are extracted from the original electrocardiography (ECG) and then clustering is performed to classify the ECG signals into two groups, namely...
A seizure prediction system has the potential to significantly help patients with epilepsy. For a seizure forecasting system to work effectively, computational algorithms must reliably identify periods with high probability of seizure occurrence. We herein report results of a classification approach based on machine learning of EEG features in the frequency domain and aimed at differentiating between...
Traumatic brain injury negatively impacts auditory processing including difficulty in hearing in background noise. In this study we used behavioral and electrophysiological outcomes to examine the effects of mTBI on perceptual auditory disorders and change in behavioral responses overtime following injury. Subjects were 16 (equal gender), 6 month old CBA/CaJ mice. All experimental protocols were approved...
A novel measure for analysis of multivariate signals in the time-frequency-space domain, the normalized Gabor entropy (NGE), is introduced and applied to multichannel intracranial EEG (iEEG) recordings hours prior to seizures onset in two patients with focal epilepsy. NGE profiles showed a statistically significant progressive decrease of NGE values at epileptogenic focus-related channels as time...
Increasingly accurate control of prosthetic limbs has been made possible by a series of advancements in brain machine interface (BMI) control theory. One promising control technique for future BMI applications is reinforcement learning (RL). RL based BMIs require a reinforcing signal to inform the controller whether or not a given movement was intended by the user. This signal has been shown to exist...
The design of brain machine interfaces (BMI) has been improving over the past decade. Such improvements have led to advanced capability in terms of restoring the functionality of a paralyzed/amputated limb and producing fine controlled movements of a robotic arm and hand. However, there is still more to be invested towards producing advanced BMI features such as producing appropriate forces when gripping...
Many cofounding factors affect the health of the oral cavity. Clinicians must be aware of medications that can affect the periodontium. In addition, there must be a thorough knowledge of interactions that may be resultant due to interactions between a disease state and medications. Two of the most common infections of the oral cavity are dental caries and periodontal disease. Each alone negatively...
Stem cells can be coaxed to grow into new bone or new cartilage better and faster when given the right molecular cues [1, 2]. Depending on the target tissue, control over the physical, chemical and mechanical influences is key to directing cell behavior in three-dimensions, and, ultimately, as a method to grow tissues for regenerative medicine applications. We designed a hydrogel that provides control...
It is well documented that glucocorticoids are potent anti-inflammatory and immunosuppressive agents that are known to affect cell mediated inflammation by the inhibition of cellular proliferation and cytokine production. The literature is lacking knowledge in elucidating the mode of action of such agents on the transformed like cells in culture. Therefore, RAW (macrophage like) cells was selected...
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