309results about "Electro-oculography" patented technology

A real-time biological data processing PC card is lightweight, cost effective, and portable. The real-time biological data processing PC card is capable of converting a host personal computer system into a powerful diagnostic instrument. Each real-time biological data processing PC card is adapted to input and process biological data from one or more biological data sensors, and is interchangeable with other real-time biological data processing PC cards. A practitioner having three different real-time biological data processing PC cards, for example, each one corresponding to a different biological data collection device, effectively carries three full-sized, powerful diagnostic instruments. The full resources of a host personal computer can be utilized and converted into a powerful diagnostic instrument, for each biological data collection device, by the insertion of one of the real-time biological data processing PC cards.

The present invention relates to advanced signal processing methods including digital wavelet transformation to analyze heart-related electronic signals and extract features that can accurately identify various states of the cardiovascular system. The invention may be utilized to estimate the extent of blood volume loss, distinguish blood volume loss from physiological activities associated with exercise, and predict the presence and extent of cardiovascular disease in general.

A single-use, self-contained device to monitor at least one physiological parameter of a subject includes a physiological sensor to sense a subject physiological parameter and generate a physiological signal. An integrated circuit is coupled to the at least one physiological sensor and processes the physiological signal. An indicator is electrically coupled to the integrated circuit and indicates information associated with the physiological parameter or the subject. A power source is electrically coupled to the physiological sensor and the indicator. A housing carries the physiological sensor, the integrated circuit, the indicator and the power source. The device includes means for limiting the device to a single use.

A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an imlantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to methods of sleep diagnosis and treatment. The sleep disorder treatment system of the present invention can use a diagnosis device to perform various forms of analysis to determine or diagnose a subject's sleeping disorder or symptoms of a subject's sleep disorder, and using this analysis or diagnosis can with or in some embodiments without human intervention treat the subject either physically or chemically to improve the sleeping disorder or the symptoms of the sleeping disorder. The diagnostic part of the system can use many different types of sensors and methods for diagnosing the severity of the symptoms of or the sleep disorder itself. The treatment part of the system can use a device to physically or chemically treat the subject's symptoms or sleep disorder itself.

Systems and methods for sleep state classification involve detecting conditions related to sleep, including at least one condition associated with rapid eye movement (REM) sleep. Additionally, a condition modulated by the sleep-wake status of the patient may be detected. A medical system that is partially or fully implantable incorporates sensors and circuitry for detecting and processing the sleep-related signals. A sleep state processor classifies the patient's sleep state based on the sleep-related signals. Sleep state classification may be used in connection with the delivery of sleep state appropriate therapy, diagnostic testing, or patient monitoring.

A self-contained monitor device to monitor at least one physiological parameter of a subject includes a pad with an adhesive layer configured to adhere to a subject's skin. The pad carries at least one physiological sensor, a signal processing means, an indicator, and a power source.

Disclosed is an apparatus and method for inputting keys using biological signals in an HMD (Head Mounted Display) mobile information terminal. The apparatus provides a virtual screen that includes a key map and a preview window to a user through a display unit having a micro-display, recognizes and inputs a key selected according to the user's biological signals sensed through a biological signal sensing unit having an EOG (Electrooculogram) input unit and an EMG (Electromyogram) input unit for sensing and receiving the biological signals as key inputs. The apparatus recognizes through a recognition unit the key selected according to the user's biological signals sensed through a biological signal sensing unit. The user can freely use the HMD mobile communication terminal without using his / her hands because the user can input his / her desired key to the HMD information terminal only by the movement of the user's eyes and the biting of his / her right and left back teeth.

Various embodiments of a biological interface system and their related methods are disclosed. A biological interface system may include a sensor including a plurality of electrodes configured to detect multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor, to process the multicellular signals to produce processed signals, and to transmit the processed signals. The system may also include a controlled device configured to receive the processed signals from the processing unit. The processing unit may include a processing unit first portion and a processing unit second portion, where the processing unit first portion is implanted under the scalp on the skull of the patient, and the processing unit second portion is placed above the scalp of the patient at a location proximal to the processing unit first portion.

A wireless apparatus and method for the measurement and monitoring of bioelectric signal patterns associated with EEG, EOG and EMG readings is provided. The apparatus is comprised of at least one measurement device employing the use of three bioelectric sensing electrodes, wherein at least one of the electrodes is configured for secure placement within the ear canal of an individual under medical surveillance. Acoustic stimulation may be provided directly into the ear canal of the individual via an auditory stimulus emitted from the measurement device for evoking brain activity and the subsequent measurement of bioelectric signal patterns associated with the evoked activity.

Method of an arrangement for monitoring sleep in a subject by measuring within a prescribed interval skin temperature of a predetermined region of the subject's body and a motion sensor for sensing motion of the subject, comparing the measured skin temperature of the predetermined region with a predetermined temperature threshold, and classifying the subject as being asleep or awake based on whether the skin temperature of the predetermined region is above or below the temperature threshold and on the motion data. In alternative aspects the invention relates to methods of and arrangements for manipulating sleep, as well as monitoring or manipulating alertness.

A physiological parameter measurement and motion tracking system including a control system, a sensing system, and a stimulation system is disclosed. The sensing system includes one or more physiological sensors including at least brain electrical activity sensors. The stimulation system includes one or more stimulation devices including at least a visual stimulation system. The control system includes an acquisition module configured to receive sensor signals from the sensing system, and a control module configured to process the signals from the acquisition module and control the generation of stimulation signals to one or more devices of the stimulation system. The control system further includes a clock module and the control system is configured to receive content code signals from the stimulation system and to time stamp the content code signals and the sensor signals with a clock signal from the clock module.

Various embodiments of a biological interface system and their related methods are disclosed. A biological interface system may include a sensor including a plurality of electrodes configured to detect multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and to process the multicellular signals to produce processed signals. The system may also include a plurality of controlled devices each configured to receive the processed signals. The plurality of controlled devices include at least a first controlled device and a second controlled device. The system may include a selector module usable by an operator and being configured to select which of the first and second controlled devices is to be controlled by the processed signals.

An apparatus and method for the transduction, acquisition, and processing of physiologic variables are described. The apparatus is a self-contained, patient-worn device consisting of a flexible substrate, a transduction means, a power generation means, and a signal acquisition and processing means, and a data transmission means.

A posture detection system includes an implantable device and a patient-external respiratory therapy device coupled via a communications channel. At least one of the implantable device and the patient-external respiratory therapy devices includes a posture detector. Posture information is transferred between the implantable device and the patient-external respiratory therapy device. The posture information may be used in connection with sleep detection or to modify therapy delivered by the implantable cardiac device and / or the patient-external respiratory therapy device.

Systems and methods provide for gathering of patient related data during non-sleep periods and modulating a therapy delivered to the patient during sleep using the gathered data. Data associated with a patient is gathered while the patient is awake. A therapy delivered to the patient during patient sleep is adjusted using the acquired data. The therapy delivered to the patient may include one or more of a respiratory therapy, such as a positive airway pressure (xPAP) therapy, a sleep disordered breathing therapy, a cardiac rhythm management therapy, such as a cardiac overdrive pacing therapy, a medication therapy, or a drug delivery therapy. The therapy delivered to the patient may be optimized using the acquired data.

A system evaluates and selects temporal and spatial locations for introduction of stimulus material. Video streams, physical locations, print advertisements, store shelves, images, commercials, etc. are analyzed to identify locations for introducing stimulus material, such as messages, brand images, products, media, marketing and / or other sales materials. The system analyzes neuro-response measurements from subjects exposed to stimulus material in different temporal and spatial locations. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Neuro-response measurements are analyzed to select temporal and spatial locations for introduction of stimulus material.

A real-time biological data processing PC card is lightweight, cost effective, and portable. The real-time biological data processing PC card is capable of converting a host personal computer system into a powerful diagnostic instrument. Each real-time biological data processing PC card is adapted to input and process biological data from one or more biological data sensors, and is interchangeable with other real-time biological data processing PC cards. A practitioner having three different real-time biological data processing PC cards, for example, each one corresponding to a different biological data collection device, effectively carries three full-sized, powerful diagnostic instruments. The full resources of a host personal computer can be utilized and converted into a powerful diagnostic instrument, for each biological data collection device, by the insertion of one of the real-time biological data processing PC cards.

A physiologic data acquisition system includes an analog input, a sigma-delta front end signal conditioning circuit adapted to subtract out DC and low frequency interfering signals from and amplify the analog input before analog to digital conversion. The system can be programmed to acquire a selected physiologic signal, e.g., a physiologic signal characteristic of or originating from a particular biological tissue. The physiologic data acquisition system may include a network interface modulating a plurality of subcarriers with respective portions of an acquired physiologic signal. A receiver coupled to the network interface can receive physiologic data from, and send control signals and provide power to the physiologic data acquisition system over a single pair of wires. The network interface can modulate an RF carrier with the plurality of modulated subcarriers and transmit the resulting signal to the receiver across a wireless network. An integrated circuit may include the physiologic data acquisition system. Also included are methods for acquiring physiologic data comprising the step of selectively controlling an acquisition circuit to acquire the physiologic signal.

A system assesses consumer experience by evaluating neuro-response measurements for a consumer exposed to products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Components of a consumer experience are analyzed to assess neuro-response measurements specific to each component. In many instances, neuro-response data is combined with other data and analyzed to determine total consumer experience.

A cerebral interface system including a housing mechanism spaced at least partially in a cavity formed in the subject's skull; an attaching mechanism; a fluid-tight sealing mechanism; a control mechanism; a communication mechanism with one or more sensors embedded in the subject's brain connecting the control mechanism to the subject's brain; a power source; an inner wall substantially aligned with an inner surface of the subject's skull; an outer wall which may include an auxiliary portion extending tangentially outwardly from the cavity formed in the subject's skull; a communication link connecting the control mechanism to external apparatus for transmitting or receiving information related to detecting, predicting, controlling, or aborting abnormal brain activity of the subject; and an output mechanism which is activatable by the control mechanism.

The method for simultaneously and concurrently identifying and quantifying a wide variety of types of facial electromyographic (EMG) and eye movement electrooculargraphic (EOG) activity, which naturally contaminate electroencephalographic (EEG) waveforms in order to significantly improve the accuracy of the calculation in real-time of the amplitude and / or coherence of any brainwave activity for any chosen frequency bandwidth for any number of electrode placements. This multi-level, widely or universally applicable, pre-defined pattern recognition artifact detection and correction system provides a method for enhancing EEG biofeedback training by detecting and eliminating any brief, contaminated epoch of EEG activity from being included in the calculation and analysis of the EEG signal. The method and apparatus disclosed herein make it possible to provide without any interruption visual, auditory and / or tactile feedback of a “true” EEG signal that through operant conditioning learning principles enables individuals to more quickly and easily learn to control their brainwave activity using neurofeedback.

A system determines neuro-response stimulus and stimulus attribute resonance. Stimulus material and stimulus material attributes such as communication, concept, experience, message, images, audio, pricing, and packaging are evaluated using neuro-response data collected with mechanisms such as Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-response data is analyzed to determine stimulus and stimulus attribute resonance.

A physiological signal collecting and monitoring system includes a physiological signal sensing device (10) and a computer device (48). The sensing device (10) includes a physiological signal sensing unit for detecting physiological signals from a subject, a circuit arrangement including a processor for executing a preloaded program to receive the physiological signals from the sensing unit, process thereof and store resultant physiological information into a memory, and a carrier (14) for carrying the sensing unit and the circuit arrangement to attach to the subject. The computer device (48) having a standard computer communication port is used for further processing the physiological information. Furthermore, the sensing device (10) further includes a communication interface to communicate with the standard computer communication port, and the interface to communicate with the processor and memory are integrated into a removable module (16), and the removable module (16) is detachable from the sensing device for acting as a computer dongle so that the removable module (16) is capable of electrically connecting with the computer device (48) to download the physiological information stored in the removable module (16) into the computer device (48).

A system obtains neuro-response data such as central nervous system, autonomic nervous system, and effector system measurements from subjects exposed to stimulus material. Stimulus material is categorized and / or tagged. Survey based responses and resulting linguistic, perceptual, expressive, and / or motor responses are obtained, integrated with neuro-response data, and stored in a brain pattern analyzer repository. Neurological signatures for concepts such as yes, no, buy, purchase, acquire, like, dislike, correct, incorrect can be determined on a group, subgroup, or individual basis and stored in the brain pattern analyzer repository. The brain pattern analyzer repository may be used to predict behavior based on neurological signatures and / or similarly categorized and tagged stimulus materials that elicit corresponding neuro-response patterns for particular subject groups.

Methods and systems for detecting medical disorders through synergistic use of one or more medical devices are described. One or more medical devices are selected to sense one or more physiological parameters associated with a medical disorder. A presence of the medical disorder is assessed based on the sensed parameters. The medical devices used for sensing may be selected from a plurality of patient internal and / or patient-external medical devices.

An apparatus comprises a mask, a sensor body configured to be attached to the mask, and an electronic module for producing an output in response to air flow through the sensor body.

Efficient and effective mechanisms for collecting electroencephalography (EEG) data are provided to synchronize neuro-response data collection with stimulus material presentation for in situ engagement monitoring and tracking. An EEG headset includes multiple point electrodes individually isolated and amplified. In some examples, a stimulus material presentation mechanism includes a clock source and a clock transmitter. The clock transmitter sends clock signals to a neuro-response data collection mechanism to allow synchronization of neuro-response data collected with stimulus presentation events. The EEG headset can be configured to perform processing while supporting both continuous input and output.

A system presents stimulus materials such as products, product packages, displays, services, offerings, etc., in virtual reality environments such as market aisles, store shelves, showroom floors, etc. Sensory experiences output to the user via the virtual reality environment elicit user interactivity. User activity and responses are used to modify marketing materials and / or virtual reality environments. Neuro-response data including electroencephalography (EEG) data is collected from users in order to evaluate the effectiveness of marketing materials in virtual reality environments. In particular examples, neuro-response data is used to modify marketing materials and virtual reality environments presented to the user.