507 results about "Brain–computer interface" patented technology

A computer-human interface manages the available space of a computer display in a manner which reduces clutter and confusion caused by multiple open windows. The interface includes a user-selectable mode of operation in which only those windows associated with the currently active task are displayed on the computer monitor. All other windows relating to non-active tasks are minimized by reducing them in size or replacing them with a representative symbol, such as an icon, so that they occupy a minimal amount of space on the monitor's screen. When a user switches from the current task to a new task, by selecting a minimized window, the windows associated with the current task are automatically minimized as the window pertaining to the new task is displayed at its normal size. As a result, the user is only presented with the window that relates to the current task of interest, and clutter provided by non-active tasks is removed.

A method for operating with multiple protocols for handling communications comprising the steps of obtaining information from sensors and related input devices utilizing specialized tamper resistant passive transceivers working with active pulse type transceivers to create historical maps of information on people or objects. This includes steps of: a) identifying recording information, b) sending and receiving prompts, c) associating the call with timers, d) monitoring passive transceivers with low level diagnostic information, e) monitoring the transceivers with voice recognition software, f) recording associated data, g) identifying the users, the key words or phrases within the recorded data, h) naming the recording and i) saving the data in a protected format.

This invention provides user interfaces that more intuitively display physiological data obtained from physiological monitoring of one or more subjects. Specifically, the user interfaces of this invention create and display one or more avatars having behaviors guided by physiological monitoring data. The monitoring data is preferably obtained when the subject is performing normal tasks without substantial restraint. This invention provides a range of implementations that accommodate user having varying processing and graphics capabilities, e.g., from handheld electronic devices to ordinary PC-type computers and to systems with enhanced graphics capabilities.

A noise-free portable EEG system is provided. The system has hardware and software and can evaluate mental state quantitatively. The quantitative data of mental states and their levels can be appliedto various areas of brain-machine interface including consumer products, video game, toys, military and aerospace as well as biofeedback or neurofeedback.

A brain machine interface (BMI) to control a device is provided. The BMI has a neural decoder, which is a neural to kinematic mapping function with neural signals as input to the neural decoder and kinematics to control the device as output of the neural decoder. The neural decoder is based on a continuous-time multiplicative recurrent neural network, which has been trained as a neural to kinematic mapping function. An advantage of the invention is the robustness of the decoder to perturbations in the neural data; its performance degrades less—or not at all in some circumstances—in comparison to the current state decoders. These perturbations make the current use of BMI in a clinical setting extremely challenging. This invention helps to ameliorate this problem. The robustness of the neural decoder does not come at the cost of some performance, in fact an improvement in performance is observed.

A device and method is described for electronic human prosthetics, and specifically a skull- and / or spine implantable bi-directional neural-communication / brain-machine interface (BBMI) device where the input, output and on-board computing are combined into a single unit to form a compact neuro-prosthetics device. This invention is also directed to a fully implantable wireless spinal electronic recording and stimulation system using the BBMI in a human. The bi-directional devices (BBMIs) communicate with other bi-directional brain-machine interface devices (BBMI) and / or with external controllers wirelessly. The compact implantable stimulator has ultrasonic secondary battery charging system. One or more BBMI can be wirelessly connected so that a closed loop of BBMIs, or a BBMI and an external controller, can wirelessly send trigger pulses to this fully implanted stimulator over the spinal cord.

The invention provides an optimal electrode assembly automatic selecting method of a brain-machine interface, which relates to the field of brain-machine interfaces. According to the invention, the automatic selection of the optimal electrode is realized; and the optimal electrode assembly automatic selection of an imagery motion brain-machine interface is realized by using a combined method of a common special pattern (CSP) and a support vector machine (SVM). The automatic selection of the optimal electrode assembly in the brain-machine interface has important effects on simplifying a brain-machine interface system and increasing system classification recognition rate and data transmission efficiency; and by using relevant property of an optimal support vector machine SVM linear kernel function as the optimal electrode screening index, redundant electrodes can be effectively deleted, the number of the electrodes can be obviously reduced, the useful electrodes can be kept, the system performance can be improved, and the precondition can be created to improve the popularization of a brain-machine interface technology.

A distributed real-time wireless neural interface including a reader and an array of distinct recording devices having a wireless section and a sensor section. The reader outputs and receives radio-frequency signals. The wireless section of the array includes an rf power converter, an antenna, a regulator, and a modulator. The antenna receives the radio-frequency signals output by the reader and provides the radio-frequency signals to the rf power converter which converts such radio-frequency signals to power signals. The regulator receives the power signals and regulates such power signals to provide stable power signals. The sensor section receives the stable power signals and is adapted to detect neural activity and provide output signals containing information indicative of such neural activity to the modulator. The modulator receives the power signals and the output signals from the sensor section communicates the information in the output signals to the reader via the antenna.

Quantitative understanding of neural and biological activity at a sub-millimeter scale requires an integrated probe platform that combines biomarker sensors together with electrical stimulus / recording sites. Optically addressed biomarker sensors within such an integrated probe platform allows remote interrogation from the activity being measured. Monolithic or hybrid integrated silicon probe platforms would beneficially allow for accurate control of neural prosthetics, brain machine interfaces, etc as well as helping with complex brain diseases and disorders. According to the invention a silicon probe platform is provided employing ultra-thin silicon in conjunction with optical waveguides, optoelectronic interfaces, porous filter elements, and integrated CMOS circuitry. Such probes allowing simultaneously analysis of both neural electrical activities along with chemical activity derived from multiple biomolecular sensors with porous membrane filters. Such porous silicon and polymer filters providing biomolecular filtering and optical filtering being compatible with post-processing wafers with integrated CMOS electronics.

The invention relates to a bioelectric electrode which is extensively applied to bioelectric recording, measurement and stimulation, including high-density electrode measurement, medical facilities, mobile equipments, family health care, psychological cognition, games, a brain-computer interface, rehabilitation training and the like, and is particularly applicable to electroencephalogram measurement. An electrode tip is a columnar pipe, and the middle part of the electrode tip is provided with an electrolyte circulating hole; one end of the electrode tip is a working end in contact with a living body, and the other end of the electrode tip is an electrolyte entering end; the electrode tip is located on one end plane of an electrode body; the middle part of the electrode body is provided with a cavity used for accommodating an electrolyte and communicating with a middle through hole; the electrode tip is a conductor, and the electrode body is either a conductor or an insulator; the electrode tip is communicated with an external circuit directly through the electrode body. The bioelectric electrode provided by the invention has the main advantages of being simple in structure, low and stable in electrode impedance, low in measurement noise, small in artifact, convenient and comfortable to use, and an electrolyte ion conductor and an electrode tip electronic conductor are simultaneously in contact with the skin, thereby being applicable to the relevant applications of bioelectricity recording, measuring and stimulation.

A system and method for interfacing a brain with a machine. An exemplary embodiment of the present invention employs a vascular approach in which one or more nano-electrodes are deployed in vasculature having a close geometric relationship with proximal innervation. Each nano-electrode is preferably deployed in a blood vessel so that its sensing end is at or near a nerve passing close to or intersecting the blood vessel. The sensing end of each nano-electrode is adapted so as to be carried along in the blood stream so as to position the sensing end at a desired point within the blood vessel. An array of nano-electrodes of varying lengths can be used to monitor multiple nerves or neurons along a blood vessel.

Brain impairment, for example due to stroke, is corrected in order to improve body movement. An fNIRS device is positioned over the motor cortex of non-impaired individuals, and blood oxygen in locations of the brain is analyzed to determine brain activity corresponding to a particular body movement. The movements are statistically analyzed, and are compared with fNIRS data gathered from a movement impaired individual attempting the same movement. A weighted value corresponding to the desired brain activity is generated using the statistical analysis, and is graphically displayed to the movement impaired individual during the attempts. This produces a feedback loop relating to the movement which can be repeated to produce brain plasticity in the impaired individual to facilitate the movement. Additionally, correct brain activity can be used to cause the application of an electrical signal to muscles of the body to produce the desired movement.