170 results about "Neural system" patented technology

A fully implantable nerve stimulation system includes an event-triggered, closed-loop control unit that detects physiological events from nerve signals and delivers stimulation pulses to a nerve to produce a desired physiological response. The stimulation system includes a low-noise, low-power nerve signal amplifier, accelerometers that detect position and a battery powered processor that selectively powers components in the system to detect physiological events and deliver stimulation pulses with a minimum of battery power.

An artificial Central Pattern Generator (CPG) based on the naturally-occuring central pattern generator locomotor controller for walking, running, swimming, and flying animals may be constructed to be self-adaptive, by providing for the artificial CPG, which may be a chip, to tune its behavior based on sensory feedback. It is believed that this is the first instance of an adaptive CPG chip. Such a sensory feedback-using system with an artificial CPG may be used in mechanical applications such as a running robotic leg, in walking, flying and swimming machines, and in miniature and larger robots, and also in biological systems, such as a surrogate neural system for patients with spinal damage.

A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the data input. The compressed history of data input to the sector may be computed by compressing the data input to the sector during a time interval, storing the compressed history of data input to the sector in memory, and computing from the stored compressed history of data input to the sector the data output from the sector.

The invention describes fluid-based lead systems. The fluid-based leads may be used for sensing from, and stimulating of, human tissue. The fluid-based leads can be used to transfer signals between two locations. The fluid-based leads offer advantages when communicating signals along their length since the leads may be safely used in magnetic environments and offer increased elastic characteristics which are less prone to breakage. The leads can be used externally or with implantable devices, such as those used to monitor, and deliver therapy during the treatment of medical disorders such as cardiac and neurological disorders.

The present invention relates to a kit and an intravenously administrable preparation, both with a signal transmitter precursor, an enhancer of precursor uptake, and an inhibitor of neurotransmitter reuptake or signal transmitter catabolism. The kit also contains an appropriate swab for obtaining oral cells suitable for allelic analysis. The intravenous formulation contains similar materials and, in some cases, ethanol. Either the kit composition or the intravenous formulation may be used as guided by a subjects allelic analysis. Collections of particular alleles, especially those relating to neural system are comprehensible in terms of likelihood of success in the administration of an intraveinous formulation or ingestion of components of the subject kit.

A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptom—responsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.

An evolvable synthetic neural system includes an evolvable neural interface operably coupled to at least one neural basis function. Each neural basis function includes an evolvable neural interface operably coupled to a heuristic neural system to perform high-level functions and an autonomic neural system to perform low-level functions. In some embodiments, the evolvable synthetic neural system is operably coupled to one or more evolvable synthetic neural systems in a hierarchy.

A dyslexia screening system suitable for clinical use includes an integrated headset that efficiently and conveniently performs an auditory evoked response (ERP) test by positioning electrodes about the ears of the subject. An integral control module automatically performs the test, providing simplified controls and indications to the clinician. A number of screening tests that are stored in the headset are periodically uploaded for billing, remote analysis and result reporting. A paradigm that characterizes testing performed for a subject along with the patient identification and / or patient demographics are stored in an associated fashion for later fusion and analyses with similar but not necessarily identically constructed ERP tests.

Apparatus for storing data records associated with a medical monitoring event in a data structure. Upon indication by a patient of a possible manifestation of a neurological event, the implanted device obtains and stores data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

The invention discloses a photoelectric regulation and dual-mode detection system for neural information. The system is used for regulating and detecting the neural information of a neural system of an animal and comprises a nerve regulation module, a dual-mode detection module and a main control module; the nerve regulation module is used for applying photic stimulation signals or electric stimulation signals to the neural system and regulating the photic stimulation signals or the electric stimulation signals; the dual-mode detection module is used for detecting electrophysiological and neurochemical dual-mode signals of the neural system; the main control module is used for synchronously and cooperatively controlling stimulation of the nerve regulation module on the neural system and detection of the dual-mode detection module. According to the photoelectric regulation and dual-mode detection system for the neural information, a new research tool and means are provided for neuroscience research, rich information can be obtained, and meanwhile the problems that the experiment efficiency is low and data synchronization treatment is difficult due to the fact that different devices are adopted in photoelectric regulation and signal detection in the neuroscience research are solved.

The invention discloses a transformer noise prediction method based on a wavelet neural network and the wavelet technology. A neuronal hyperbolic tangent S-type excitation function of a hidden layer in the traditional BP (back propagation) neural network is replaced with a wavelet-based function, momentum factors are introduced when parameters of the neural system are adjusted, and accordingly, a prediction model is higher in convergence speed and higher in error precision. Vibration and noise digital signals are decomposed by means of the wavelet decomposition technology, wavelet low-frequency coefficients obtained are used as input-output pairs for the prediction model, the wavelet low-frequency coefficients obtained by prediction are reconstructed by means of the wavelet reconstruction technology after modeling, and predicted noise digital signals are obtained. The transformer noise prediction method based on the wavelet neural network and the wavelet technology has the advantages that fewer training samples are required, time of training neurons in the neural network is shortened, and the problem that poor prediction effect is caused by ambient high-frequency interference noise contained in actually-measured transformer noise data is further avoided.

Present invention is a method of improving circadian rhythms in blind people by stimulation the visual neural system. Ideally a retinal prosthesis of the type used to restore vision can be used to restore normal circadian rhythms. Additionally, brightness on the prosthesis can be increased in the morning and decreased in the evening to stimulate normal Circadian rhythms. Alternatively, if a retinal prosthesis is not preferable, the retina can be stimulated externally, during the day and not at night. While such eternal stimulation can not produced artificial vision, it can stimulate normal circadian rhythms.