Malek Adjouadi

Abstract

Multiclass classification of the different stages and progression of Alzheimer’s disease (AD) possess challenges in the prediction of the trajectory of cognitive impairment.  Variability of data and the lack of ability to handle the challenges of missing data and multicollinearity in longitudinal studies impacts diagnosis and prognosis of AD, along with the determination of the beneficial effects of treatments and medications over time.FIU researchers have invented methods and systems to generate a color-coded visualization of AD state and progression.  The technique involves using neuroimaging data, neuropsychological testing, cerebrospinal fluid, and/or risk factor input to generate a color-coded visualization of disease state and progression.  Changes in the generated visualization over time identify the changes and decline of cognitive impairment of a patient.  We are looking for collaborators to commercialize this device.

Benefit

·      A more effective tool for identifying Alzheimer’s disease stage and classification. ·      Better monitoring of cognitive impairment over time. ·      Combines several patient/study data into one visual aid.

Market Application

This system and technique can be used to assist in the diagnosis and prognosis of Alzheimer’s disease in clinical and research applications.

Abstract

Florida International University (FIU) is pursuing a commercial partner interested in commercializing an artificial neural networks simulator. This artificial neural network (ANN) simulator has applications in both educational and industrial settings. Neural Studio can be used in multiple disciplines, such as data analysis, computational modeling and simulations, information processing, biomedical applications, and as a research enabler for other problems that seek real-time. Current ANNs require knowledge of a programming language to operate, burdening the user. Researchers at FIU have developed a platform that has a simple user interface that does not require any knowledge of programming languages without sacrificing power. We are looking for a partner to commercialize the Neural Studio Artificial Neural Networks platform.

Benefit

Knowledge in programming languages is not requiredGreat personalization and customization features to allow for use in academic and industrial settings“Industrial applicationâ€쳌 status option significantly speeds up calculationsSimple interface that allows users to visually design, train, and test an ANN using mostly the mouseMinimal keyboard interactions are neededThe option of visualizing graphical outputs after each calculation step is present in each moduleOpen source coding allows users to view the code behind the different calculation modules whenever necessaryAbility to manually or automatically stop the training process at any discrete point of time in order to inspect the state of the ANN, which allows for debugging and for learning the progression of a given task.For educational purposes, platform can be used as a teaching assistance tool to improve classroom efficiency

Market Application

This innovative software platform provides a simple, powerful simulator to create artificial neural networks. This simulator can be used for both academic and industrial purposes

Abstract

Tremors, one of the most common movement disorders, are associated with several factors such as aging, and certain neurological disorders like Parkinson’s disease (PD). This technology uses an inexpensive hardware-software assimilated design to analyze the effectiveness of repetitive Transcranial Magnetic Stimulation (rTMS) on patients with PD and other related disorders before, during, and after the stimulation-based treatment. The system consists of a hardware design solution that detects, acquires, and stores data collected in 3 dimensions, and a software module that acquires tremor signals, processes the information and synchronizes the trigger of the TMS via the hardware component. It also provides a graphical user interface that guides the development of patient-specific mechanisms required for biofeedback treatment. The strategy behind this integrated 3D Tremor-Stimulation-Biofeedback (TSB) Detector design is to provide customized magnetic stimulation of the brain according to the given tremor frequency of each patient. This technology allows for new understanding on how repetitive stimulation is best applied to patients.

Benefit

Augments the capabilities of any TMS machineMost effective treatment sessions because of its bidirectional link provides synchrony between the frequency observed in the tremor signals and the TMS parameters to be implementedAcquires and analyzes data in real-time and automatically issues appropriate control signals for the selection of the most appropriate TMS mode of operationQuantification of tremors in drug usage that cause tremors

Market Application

The system can be used for analysis and practical sessions using the non-invasive brain stimulationThe system allows for the appropriate intensity and repetition rate of stimulation while continuously monitoring the tremor signals under patient-specific biofeedback sessions. The behavior of the deflections of the tremor signals in response to TMS could predict and assess the reliability of subsequent treatmentTool to encourage patients to seek early interventions and treatments

Abstract

FIU inventors have developed an ECG-triggered Transcranial Magnetic Stimulation system which reads data from existing electrocardiography (ECG) equipment to automatically compute and deliver an electromagnetic pulse to the brain at the best time and optimal intensity. Empirical evidence suggests that if the magnetic stimulus is not synchronized with the cardiac cycle, there is potential for detrimentally slowing down the heart rate. However, if the same stimulus is synchronized to select moments of the cardiac cycle, minimal or no heart rate alteration will occur. Furthermore, the integration of ECG with transcranial magnetic stimulation (TMS) allows for the precise analysis and interpretation of the state of the patient heart, the ECG, and provides a more complete assessment of a given patient.The software of this technology can detect individual cardiac wave deflections as well as the intervals between them. This technology is capable of processing this data from the ECG for computing and delivering a prescribed intensity of magnetic stimulation at a precise time in the cardiac cycle. Therefore, such a system allows for the timely and safe delivery of the brain stimulation, all while continuously monitoring the ECG signal. The same mechanism which automates the different functions of the TMS is also able to abort the stimulation if any unwarranted effects such as abnormal cardiac rhythm or other abnormalities are observed by the ECG.

Benefit

Easy stimulus synchronizationFully automatedImproves upon patient safetySimultaneous ECG monitoring and delivery of magnetic stimulusUseful for a wide range of neurological applicationsCompatible with existing ECG technology

Market Application

This brain magnetic stimulation can be used for administering electromagnetic stimulations for the treatment of depression, Alzheimer’s disease, migraine headaches, autism, attention deficit disorder (ADD), attention deficit hyperactivity disorder (ADHD), and other neurological disorders. Additionally, this technology can be used for brain mapping of the eloquent cortex for pre-surgical evaluations

Abstract

Magnetic stimulation has been shown to induce micro-currents and ion movement in tissue to activate and rebalance damaged cells for skin repair. Low intensity PEMF has been proven to stimulate Adenosine Triphosphate (ATP), which significantly affects both collagen production and blood circulation. These two factors significantly help in improving skin complexion and appearance.FIU inventors have developed device for cosmetic skin treatment that will allow users to have younger looking, healthy, smoother and firmer skin. This technology implements a low cost hardware design that uses pulsed electromagnetic field (PEMF) to treat the skin in order to improve its appearance. The device can produce frequencies in a low range to avoid any heating action, making it safe for personal use. The low frequency pulsed electromagnetic fields that this novel technology emits, have the potential to influence the healing process of the delicate skin located on the face.

Benefit

Improves appearance by providing for younger looking, smoother, and firmer feeling skinReduces wrinkles, and fine linesImproves skin toneProvides for a less expensive and safer alternative to cosmetic surgeryIncreases blood circulationIncreases collagen production and increases ATP productionActivates and rebalances damaged tissue cells

Market Application

Cosmetic applications to deliver improved facial and body treatments Tool for stimulating the healing processes of patients