42 results about "Brain monitoring" patented technology

A medical device system that includes a brain monitoring element, cardiac monitoring element and a processor. The processor is configured to receive a brain signal from the brain monitoring element and a cardiac signal from the cardiac monitoring element. The processor is further configured to compare the brain signal to the cardiac signal. A method of comparing a brain signal to a cardiac signal is also provided.

A medical device system for comparing a cardiopulmonary signal to a brain signal. In one embodiment of the invention, a medical device system is provided that includes a brain monitoring element, respiratory monitoring element and a processor. The processor is configured to receive a brain signal from the brain monitoring element and a respiratory signal from the respiratory monitoring element. The processor is further configured to compare the brain signal to the respiratory signal. Methods of comparing a brain signal to a cardiopulmonary signal are also provided.

A medical device system includes a brain monitoring element, cardiopulmonary monitoring element, therapy module and a processor. The processor is configured to activate the therapy module upon detection of a cardiopulmonary event in the cardiopulmonary signal. The processor is further configured to monitor the brain signal and communicate to the therapy module to change the cardiopulmonary triggered therapeutic output to the brain based upon the brain monitoring. Methods of treating a person with a neurological disorder are also provided.

An exemplary method for monitoring neonate brain function includes processing electroencephalographic data of the neonate to calculate at least one measure, the at least one measure including a non-linear measure, comparing the calculated at least one measure against at least one baseline threshold, wherein the at least one baseline threshold corresponds to a neonate age range, and outputting a result of the comparison. An exemplary system for monitoring neonate brain function includes a computing device for processing electroencephalographic data of the neonate to calculate at least one measure, the at least one measure including a non-linear measure, and for comparing the calculated at least one measure against at least one baseline threshold, wherein the at least one baseline threshold corresponds to a neonate age range, and a display for displaying a result of the comparison.

A medical device system includes a housing, the housing at least partially supporting a therapy module and a processor, and a respiratory monitoring element coupled to the processor. The processor is configured to activate the therapy module upon detection of a respiratory event in a respiratory signal. In some embodiments, the system may further comprise a brain monitoring element, and the processor may be configured to monitor a brain signal and change the therapeutic output based upon the brain signal.

Embodiments of the present invention provide a method, system and computer program product for message notification management through brain monitoring of end user concentration. In an embodiment of the invention, a method for message notification management through brain monitoring of end user concentration can include receiving neurofeedback for an end user through an interface for a brain monitoring system, comparing the neurofeedback to a threshold level of brain activity indicating a degree of concentration of the end user, and suppressing message notifications for messages in a messaging system responsive to the neurofeedback exceeding the threshold level of brain activity, but otherwise permitting message notifications for messages in the messaging system.

An implantable neurostimulator device for implantation in a head of a patient includes a housing adapted to be implanted beneath a patient's scalp, and a cardiac monitoring element, a brain monitoring element, and a processor. The processor is configured to receive a cardiac signal from the cardiac monitoring element, identify cardiac events in the cardiac signal, receive a brain signal from the brain monitoring element, identify neurological events in the brain signal, and indicate a relationship between the neurological events and the cardiac events.

An implantable neurostimulator device for implantation in a head of a patient includes a housing adapted to be implanted beneath a patient's scalp, a cardiac monitoring element, a therapy module, and a processor. The processor is configured to activate the therapy module to deliver a therapeutic output to treat a neurological event upon detection of a cardiac event in a cardiac signal. In some embodiments, the device may comprise a brain monitoring element. In some embodiments, the processor may be configured to receive and monitor a brain signal from the brain monitoring element and change the therapeutic output based upon the brain signal.

A medical device system includes a brain monitoring element, cardiac monitoring element, therapy module and a processor. The processor is configured to activate the therapy module upon detection of a cardiac event in the cardiac signal. The processor is further configured to monitor the brain signal and communicate to the therapy module to change the cardiac triggered therapeutic output to the brain based upon the brain monitoring. A method of treating a person with a neurological disorder is also provided.

A medical device system includes a housing, a therapy module and a processor at least partially supported by the housing, and a cardiac monitoring element coupled to the processor, the cardiac monitoring element comprising a stub sensor. The processor is configured to activate the therapy module upon detection of a cardiac event in a cardiac signal. In some embodiments, the system may further comprise a brain monitoring element coupled to the processor. In some embodiments, the processor may be configured to monitor a brain signal and change the therapeutic output based upon the brain signal.

The invention discloses a senile dementia monitoring system based on a mobile internet. The senile dementia monitoring system based on the mobile internet comprises an intelligent terminal, a cloud server and a brain electrical monitoring device, wherein the electrical brain monitoring device is used for acquiring brain electrical information of senile dementia patients or healthy people in real time, and sending the brain electrical information to the intelligent terminal; the intelligent terminal is used for receiving the brain electrical information, completing cognitive-psychological assessment, inputting clinic information, and uploading the brain electrical information, the cognitive-psychological assessment and the clinic information to the cloud server through the mobile internet; the cloud server is used for receiving MRI (Magnetic Resonance Imaging) image information uploaded by hospitals and information uploaded by the intelligent terminal so as to complete auxiliary diagnosis and generate corresponding nursing instruction suggestions, and then feeding auxiliary diagnosis results and the nursing instruction suggestions back to the intelligent terminal. According to the senile dementia monitoring system based on the mobile internet, the mobile internet technology is utilized, the automatic auxiliary diagnosis of senile dementia can be realized, the accuracy of the diagnosis is improved, and the prevention and the early detection of the senile dementia can be realized favorably.

A ventricular catheter includes an external ventricular drainage (EVD) catheter and has at least one conduit formed in the wall of the EVD catheter. The conduit opens at a side port of the wall at an angle to the EVD catheter. The side port is formed in the wall to allow a probe to be extended from the conduit at the angle into brain tissue that is not altered by the insertion of the EVD catheter. The ventricular catheter has an oval shape to minimize the total cross-sectional area while still allowing the necessary number of conduits.

A device and method are provided for real-time classification of covert speech. The device comprises a plurality of sensors for capturing real-time bio-signal data for brain monitoring in response to mental tasks delivered to a user, and a brain computer interface with memory storing instructions to configure a processor to perform a method of real-time classification of covert speech. The method comprises capturing real-time bio-signal data for brain monitoring in response to mental tasks delivered to a user, pre-processing the raw bio-signal data, extracting a vector of features from the raw bio-signal data, selecting features from the vector of features, building classification model to generate classified covert speech data using the selected features, and controlling a display device with visual elements based on the classified covert speech data.

The cerebral ischemia and anoxia monitoring system based on heart rate variance signal as one kind of medical equipment includes a signal extracting module, a cardioelectric signal treating module, and an outer communication and memory module. The signal extracting module receives cardioelectric signals from three body surface electrodes, amplifies the signals, performs isolating and analog filtering treatment and feeds the treated cardioelectric signals to the cardioelectric signal treating module; the cardioelectric signal treating module completes A / D conversion, digital filtering, heart rate variance signal extraction, non-linear parameter calculation and threshold judgment before transmitting the treated signal to the outer communication and memory module; and the outer communication and memory module completes the display, storing and communication on the signal. The present invention has low cost and other features.

A NIRS sensor device for brain monitoring is small in size, provides reliable attachment to a patient, blocks ambient light, is easy to use, is hygienic, and supports data integration with surgical and monitoring systems. The sensor device is coupled to a remote near infrared light source via a hybrid cable. Since the light source is remotely located, a source adapted for providing high energy, short pulses can easily be used so that there is less chance of interference by superficial non-brain tissues and less interference from ambient light. In addition, the remote location avoids changes in output of local light sources experienced in the prior art during hypothermia procedures (e.g., bandwidth shifts in LEDs as a result of lowered temperature). The higher energy may be achieved by the use of laser diodes as opposed to locally-mounted LEDs typically used in the prior art. The sensor device is a two-piece design comprising a reusable portion containing the photodetector(s) and a disposable portion that receives the light from the reusable portion and bends it to direct the light into the brain.

Described is system for mapping user behavior to brain regions of interest. Using a cognitive-behavior model, a behavioral task is selected that is suited for a desired brain state. Using a functional-anatomical model coupled to the cognitive-behavior model, a set of high-definition neurostimulations is selected to be applied to the user during performance of the selected behavioral task. The selected set of high-definition neurostimulations targets specific regions of the user's brain. Changes in the user's brain state are sensed during application of the set of high-definition neurostimulations and performance of the selected behavioral task using at least one brain monitoring technique. The coupled functional-anatomical and cognitive-behavior models are adapted until the desired brain state is reached.

A wireless system for brain monitoring / mapping of neurological-disorder patients includes a plurality of electrodes each configured for surface abutment of brain tissue and main circuitry for placement outside a body of a patient and configured to transmit power at radio frequencies and send and receive data using infrared energy. Remote circuitry is provided for subcutaneous implantation in a head of the patient. The remote circuitry is connected to the plurality of electrodes and includes a multiplexer sampling signals from the plurality of electrodes. The multiplexer outputs electrode signals to an amplifier and A / D converter for transmission to the main circuitry. The remote circuitry is configured to (a) receive transmitted power at radio frequencies from the main circuitry, (b) capture and digitize full-bandwidth EEG signals from each of the electrodes, and (c) send data to and receive data from the main circuitry using infrared energy.

A device for monitoring brain parameters in a patient includes at least one central nervous system function sensor, at least one brain oxygen sensor, at least one blood flow velocity sensor, a video monitor and a computational circuit. The nervous system function sensor is configured to sense a nervous system function of the patient. The brain oxygen sensor is configured to sense a brain oxygen concentration of the patient. The brain blood flow velocity sensor is configured to sense the blood flow velocity of the patient. The computational circuit is in data communication with the nervous system function sensor and the brain oxygen sensor. The computational circuit is configured to generate a graphic representation, for display on the video monitor, of the nervous system function of the patient and the brain oxygen concentration of the patient.

The invention discloses a cardiopulmonary-cerebral resuscitation assisting device for an emergency department, and relates to the technical field of medical equipment. The cardiopulmonary-cerebral resuscitation assisting device for the emergency department comprises a supporting platform, a body position cushion, a storage device, a movable frame, a main bracket and an auxiliary bracket; the bodyposition cushion is fixed on a tabletop of the supporting platform and the storage device is mounted at the rear end of the supporting platform; the movable frame is mounted at a side end of the supporting platform; a pressing resuscitation device is mounted on the main bracket on the movable frame; a respiration ventilation device and a heart and brain monitoring device are mounted on the auxiliary bracket. The cardiopulmonary-cerebral resuscitation assisting device can keep a body position of a patient, is safe and stable and can be used for effectively pressing and assisting cardiopulmonaryresuscitation; electrocardiogram and electrocerebral parameters and the like are monitored in real time, and necessary instruments for cardiopulmonary-cerebral resuscitation are stored; the device issuitable for assisting the cardiopulmonary-cerebral resuscitation of the emergency department.

A brain-machine interface for extracting user action intentions within a continuous asynchronous interactive environment is presented. A subliminal stimulus module generates contextually appropriate decision-related stimuli that are unobtrusive to a user. An altered perceptual experience module modifies a user's sensation of the interactive environment based on decision-related stimuli generated from the subliminal stimulus module. A brain monitoring module assesses the user's brain activity in response to the decision-related stimuli and to determine whether an action within the asynchronous interactive environment is intended by the user. Finally, an action is taken based on explicit user input, the user's brain activity in response to the decision-related stimuli, or a combination thereof. The decision-related stimuli can be visual stimuli, audio stimuli, tactile stimuli, or olfactory stimuli, any be a repeated signal having a start and a stop, where the start and stop are selected to minimize cognitive load on a user.

The invention discloses a driving state brain monitoring system and method based on a near infrared spectrum. The system comprises a portable near infrared device used for acquiring the brain activity state, a storage system used for recording relevant data measured by the near infrared device in different driving environments, a GPS (Global Positioning System) chip used for positioning a driver in real time, a shooting device used for recording the road conditions generated when the driver drives a vehicle in real time, and a wireless transmission device used for transmitting corresponding data recorded by the near infrared device, the GPS chip and the shooting device. The corresponding data is transmitted to a data analysis center through the wireless transmission device, analysts fuse the obtained data, a traffic data of Internet and road condition information, and then the real-time brain activity state of the driver under different driving conditions is obtained.

The invention discloses an application (APP) for brain monitoring and intervention through cooperation with an electroencephalogram (EEG) device. The APP includes a headgear, a mobile phone, a cloud server, and a brain monitoring APP, EEG electrodes are mounted on both sides of the top of the inside of the headgear by bolts, reference electrodes are mounted on both sides of the inside of the headgear, a processor A and a Bluetooth module A are mounted on the top of the headgear through mounting boxes, the processor A is electrically connected with the Bluetooth module A, the reference electrodes, and the EEG electrodes, the mobile phone is provided with a Bluetooth module B, a processor B, a network controller, a brain monitoring APP, and a camera, and the brain monitoring APP is providedwith an image recognition system and a data analysis module. The head-mounted EEG device is used for reading brain waves of a user in real time, data screening and algorithms are used for obtaining the true EEG state of the user to judge the emotions and attention of the user and the physical state of the user before and during sleep, and thus accuracy, instantaneity, and practicality are more guaranteed.

Described is a system for inducing a desired behavioral effect using an electrical current stimulation. A brain monitoring subsystem includes monitoring electrodes for sensing brain activity, and a brain stimulation subsystem includes stimulating electrodes for applying an electrical current stimulation. Multi-scale distributed data is registered into a graphical representation. The system identifies a sub-graph in the graphical representation and maps the sub-graph onto concept features, generating a concept lattice which relates the concept features to a behavioral effect. Finally, an electrical current stimulation to be applied to produce the behavioral effect is determined.