Abstract:
Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body. For example, system for monitoring and stimulating human body activity and conditions may comprise at least one transcutaneous nerve stimulation circuitry comprising a circuitry adapted to generate a nerve stimulation signal and at least one electrode or contact adapted to apply the nerve stimulation signal to a nerve of a human through a skin of the human, transcutaneous electrical nerve monitoring circuitry comprising a circuitry adapted to monitor at least one nerve signal received from at least one sensor adapted to obtain the at least one nerve signal from a human through the skin of the human, and control circuitry adapted to control signal generation and signal application of the transcutaneous nerve stimulation circuitry
Abstract:
A new computational approach may provide improved detection of disease conditions and comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an embodiment, a computer-implemented method for detecting a disease condition may comprise receiving a plurality of data streams, each data stream representing a measurement of a brain activity comprising physical and chemical phenomena and performing pattern analysis on the plurality of data streams to detect at least one fundamental code unit of a brain code corresponding to a disease condition based on a combination of the plurality of data streams.
Abstract:
Embodiments may stimulate nerve activity using transcutaneous nerve stimulation, as well as monitor nerve activity through the skin. Various branches of the nervous system may be accessed at various points on the body. For example, system for monitoring and stimulating human body activity and conditions may comprise at least one transcutaneous nerve stimulation circuitry comprising a circuitry adapted to generate a nerve stimulation signal and at least one electrode or contact adapted to apply the nerve stimulation signal to a nerve of a human through a skin of the human, transcutaneous electrical nerve monitoring circuitry comprising a circuitry adapted to monitor at least one nerve signal received from at least one sensor adapted to obtain the at least one nerve signal from a human through the skin of the human, and control circuitry adapted to control signal generation and signal application of the transcutaneous nerve stimulation circuitry
Abstract:
Embodiments of the present systems and methods may provide improved electronic stethoscopes that provide diversified diagnosis functionality. For example, embodiments may provide the capability to diagnose a wide range of pathologies by using the device's wireless network capacity to link it to wearable sensors of different kinds, maintaining the traditional use of the stethoscope while enabling it to sense a whole new set of physiological signals. For example, in an embodiment, a system may comprise a networked electronic stethoscope and a sensor adapted to be attached to the networked electronic stethoscope, the sensor comprising an electrode adapted to obtain a signal representing a physiological parameter of a patient, a processor adapted to digitize and process the obtained signal to form data, and a wireless network adapter adapted to transmit the data to the networked electronic stethoscope.
Abstract:
The present invention relates to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. In an embodiment of the present invention, an approach to the treatment of disorders that supplements existing diagnostic and treatment methods with robust quantitative data analysis are presented. This is achieved by a unification of cognitive and neural phenomena known as the Fundamental Code Unit (FCU), representing identifiable patterns of brain activity at the submolecular, molecular, and cellular levels (intra-brain communications), as well as their manifestations in thought and language (inter-brain communications).
Abstract:
A Grid application framework uses semantic languages to describe the tasks and resources used to complete them. A Grid application execution framework comprises a plurality of mobile agents operable to execute one or more tasks described in an intent based task specification language, Input/Output circuitry operable to receive input that describes a task in the task specification language, an analysis engine for generating a solution to the described task, and an intent knowledge base operable to store information contained within tasks of the plurality of mobile agents
Abstract:
Embodiments of the present systems and apparatus may provide vehicle armor materials and systems that generate electricity from impact and blast energy. For example, in an embodiment, a protective apparatus may comprise a layer of armor and a layer comprising a plurality of electrical generating devices abutting the layer of armor and configured so that energy applied to the layer of armor is transferred to the plurality of electrical generating devices causing the plurality of electrical generating device to generate electrical energy.
Abstract:
Embodiments of the present systems and apparatus may provide vehicle armor materials and systems that generate electricity from impact and blast energy. For example, in an embodiment, a protective apparatus may comprise a layer of armor and a layer comprising a plurality of electrical generating devices abutting the layer of armor and configured so that energy applied to the layer of armor is transferred to the plurality of electrical generating devices causing the plurality of electrical generating device to generate electrical energy.
Abstract:
Embodiments of the present invention may provide automated techniques for signal analysis that may continuously provide up-to-date results that link EEG and behaviors that are important for daily activities. Such techniques may provide automation, objectivity, real-time monitoring and portability. In an embodiment of the present invention, a computer-implemented method for monitoring neural activity may comprise receiving data representing at least one signal representing neural activity of a test subject, pre-processing the received data by performing at least one of band-pass filtering, artifact removal, identifying common spatial patterns, and temporally segmentation, processing the pre-processed data by performing at least one of time domain processing, frequency domain processing, and time-frequency domain processing, generating a machine learning model using the processed data as a training dataset, and outputting a characterization of the neural activity based on the machine learning model.
Abstract:
For example, in an embodiment, an implant device may comprise a plurality of fibers adapted to receive electrical signals, optical signals, or both electrical and optical signals from neural signals of the brain tissue and to transmit signals, to provide stimulation of the brain tissue, and a controller to receive signals, determine direct neural connections by analyzing waveforms and propagation delays of the received signals, recognize at least one dead or non-functional neuron and determine direct neural connections affected by the at least one dead or non-functional neuron, and forward neural signals around the at least one dead or non-functional neuron by recording the received signals from one side of the at least one dead or non-functional neuron and transmitting the recorded signals to stimulate an other side of the at least one dead or non-functional neuron.