Patent classifications
A61B5/398
SYSTEM USING EYE TRACKING DATA FOR ANALYSIS AND VALIDATION OF DATA
The present invention generally relates to the field of automated and flexible information extraction for review and analysis of computer code. In particular, the novel present invention provides a unique platform for analyzing, classifying, extracting, and processing information using multichannel input from user devices and optical tracking sensors and employing the use of behavioral cloning network (BCN) technology. Embodiments of the inventions are configured to provide an end to end automated solution for extracting data from code review processes that can be used to automate and accelerate the code review and validation methods.
SMART PLATFORM FOR STRESS REDUCTION AND SLEEP PROMOTION
The present invention provides systems and methods for management and orchestration of a fleet of remote Internet-of-Things (IoT) devices. The present invention includes a platform for onboarding, provisioning, and managing remote IoT devices throughout their lifetime. The platform includes portals for manufacturers, vendors, and consumers to access device data and sensor data collected by the devices. The data collected by the portal is used to control the fleet of remote IoT devices as well as make recommendations, e.g., for sleep promotion and stress reduction.
Brain-computer interface platform and process for classification of covert speech
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.
Brain-computer interface platform and process for classification of covert speech
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.
CONSCIOUSNESS LEVEL DETERMINATION METHOD AND COMPUTER PROGRAM
A step of extracting components of one or more frequency bands from a first section of an EEG; a step of calculating a first index for each of the components of one or more frequency bands, wherein the first index is calculated based on a degree to which a magnitude of each of the components of one or more frequency bands with respect to a magnitude of a predetermined reference component in the first section exceeds a predetermined threshold value; a step of calculating a probability value for each of one or more patient statuses from the first index for each of the components of one or more frequency bands using a trained artificial neural network; and a step of determining the consciousness level of the patient based on the probability value for each of the one or more calculated patient statuses.
SYSTEM AND DEVICE FOR IMPROVING SLEEP QUALITY
A device and system for promoting more recuperative sleep by regulating a user's body temperature. This may be done by using a series of devices that measure information about the user both while they are awake and while they are asleep, communicate that information to a processing unit, and create an ideal body temperature range profile based on that information. A temperature stimulus device may ensure that the core body temperature of the user stays substantially within the ideal body temperature range. By keeping the core body temperature of the user within the calculated range, the device and system will ensure deeper, and therefore more recuperative, sleep.
Device, system, and method for assessing sleep disorders
Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.
Device, system, and method for assessing sleep disorders
Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.
Vestibular system examination device
A vestibular system examination device includes a platform unit and an examination unit. The platform unit includes a base, a driving mechanism mounted to the base, and a seat mounted to the driving mechanism and adapted for a user to sit thereon. The seat is driven movably and rotatably with six degrees of freedom by the driving mechanism. The examining unit includes a detector adapted for detecting eye movement or electrooculography of the user, a measuring module electrically connected to the platform unit for measuring location and displacement thereof, and a processing module electrically connected to the detector and the measuring module for receiving and processing data acquired from the detector and the measuring module.
Vestibular system examination device
A vestibular system examination device includes a platform unit and an examination unit. The platform unit includes a base, a driving mechanism mounted to the base, and a seat mounted to the driving mechanism and adapted for a user to sit thereon. The seat is driven movably and rotatably with six degrees of freedom by the driving mechanism. The examining unit includes a detector adapted for detecting eye movement or electrooculography of the user, a measuring module electrically connected to the platform unit for measuring location and displacement thereof, and a processing module electrically connected to the detector and the measuring module for receiving and processing data acquired from the detector and the measuring module.