Abstract: In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to af

Abstract: A system for a brain-computer interface (BCI) is provided. The system comprises an output unit configured to trigger a series of mental tasks for the patient, a device having a plurality of electrodes to continuously capture real-time raw electroencephalography (EEG) data from a patient, a server, and a display device to display and update an interface with visual elements based on issued control commands from the server. The server has an acquisition unit configured to receive the electrode data, a processor configured to detect real-time changes in brain-state of the patient in response to the series of mental tasks for the patient, a presentation unit configured to generate visual elements for an interface in real-time, and a display controller configured to issue control commands to update the interface using the generated visual elements. The processor detects the real-time changes in brain-state using the electrode data.

Abstract: The present disclosure provides methods of processing data provided by a transcutaneous or subcutaneous analyte sensor utilizing different algorithms to strike a balance between signal responsiveness accompanied by signal noise and the introduction of error associated with that noise. The methods utilize the strengths of a lag correction algorithm and a smoothing algorithm to optimize the quality and value of the resulting data (glucose concentrations and the rates of change in glucose concentrations) to a continuous glucose monitoring system. Also provided are systems and kits.

Abstract: 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.

Abstract: The invention encompasses systems and methods allowing for minimally invasive insertion and functional optimization of implantable electrode arrays designed for placement within the subgaleal space to record brain electrical activity. The implantable arrays comprise a support structure capable of being implanted in the subgaleal space and comprising at least one reference element; at least one ground element; and one or more recording elements; and wherein said array is capable of detecting and/or transmitting a subgaleal electrical signal.

Abstract: A method and system that includes a wearable device having a plurality of EEG sensors to detect an EEG signal in a window of a predetermined length, a bandpass filter to remove frequency bands of the EEG signal to obtain a combined signal of remaining frequency bands, and a wireless device connection for wireless transmission of information from the wearable device. The information including the EEG signal and the combined signal. A mobile device includes a communication device for receiving the transmitted information, at least one processor for processing a machine learning model. The machine learning model classifies the combined signal to obtain a classification result of mental stress or not mental stress, and a display device displays a mental stress assessment based on the EEG signal and the classification result.

Abstract: The present invention, herein is a method and apparatus that significantly limits the effect of high frequency (“HF”) interferences on acquired electro-physiological signals, such as the EEG and EMG. Preferably, this method comprises of two separate electronic circuitries and steps or electronics for processing the signals. One circuit is used to block the transmission of HF interferences to the instrumentation amplifiers. It is comprised of a front-end active filter, a low frequency electromagnetic interference (“EMI”) shield, and an isolation barrier interface which isolates the patient from earth ground. The second circuit is used to measure the difference in potential between the two isolated sides of the isolation barrier. This so-called “cross-barrier” voltage is directly representative of the interference level that the instrumentation amplifier is subjected to. This circuit is used to confirm that the acquired signals are not corrupted by the interference.

Abstract: A method and system that includes a wearable device having a plurality of EEG sensors to detect an EEG signal in a window of a predetermined length, a bandpass filter to remove frequency bands of the EEG signal to obtain a combined signal of remaining frequency bands, and a wireless device connection for wireless transmission of information from the wearable device. The information including the EEG signal and the combined signal. A mobile device includes a communication device for receiving the transmitted information, at least one processor for processing a machine learning model. The machine learning model classifies the combined signal to obtain a classification result of mental stress or not mental stress, and a display device displays a mental stress assessment based on the EEG signal and the classification result.

Abstract: Disclosed is a VR (Virtual Reality) device for diagnosis of nerve disorder, system and method thereof, wherein the device comprises: a display part providing a user with a VR environment in response to an image; and a user response receiver receiving a user response relative to the image, and wherein the image includes an introduction video included with two or more characters, and a question video image provided subsequent to the introduction video to include an inquiry related to the characters, whereby a user's linguistic competence, visual ability and associative ability can be comprehensively evaluated, and more accurately grasp a degree of user's nerve disorder can be accurately grasped without being influenced by a user's academic background and age.

Abstract: The present invention relates to non-invasive blood glucose measuring apparatus and method. More specifically, the apparatus is inserted into a blood vessel of a human body, and at a point of time when a measurement is desired, wirelessly transmits power so as to be operated, wherein a dipole antenna-form sensor measures a change in a specific parameter depending on a blood glucose level. The apparatus measures the blood glucose in a non-invasive manner, wherein a display unit that is present outside the human body receives the parameter value through wireless communication and displays a corresponding blood glucose level.

Abstract: Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for treatment of anxiety. Described are methods and devices to treat anxiety that involves no medication. Methods and devices described herein use alternating magnetic fields to gently “tune” the brain and affect symptoms of anxiety.

Abstract: Methods and systems detect a random state change in a subject in real time. Eye state changes may be identified in encephalogram brain signals, or honeybee dance patterns may be classified. Multivariate signals including state change information are received via a plurality of channels. The signals are sampled and may be filtered to remove DC components. Statistical characteristics of the signals are monitored. When the statistical characteristics exceed a threshold during a critical time interval, a potential change of state is detected. The critical time segment of the signals may be filtered to generate respective state change artifact signals. The state change artifact signals are decomposed by MEMD, and intrinsic mode functions are generated. Features are extracted from the intrinsic mode functions. These steps may be repeated while the extracted features are provided to a logistic regression classifier that is used to predict a state of the subject.

Abstract: A guidewire-guiding device, and guidewire-guiding assembly. The device comprises a main guidewire channel and guidewire-guiding channels are respectively arranged in the guiding body. The main guidewire channel and the guidewire-guiding channels respectively pass through the guiding body along axial direction, and in-vivo end openings of the guidewire-guiding channels and the in-vivo end opening of the main guidewire channel are arranged along the axial direction at intervals. The guiding body may be imbedded into a vessel in-vivo via the main guidewire penetrating through the main guidewire channel, and as the in-vivo end openings of the guidewire-guiding channels are arranged along the axial direction at intervals, the to-be-guided guidewires enter the guidewire-guiding channels while being staggered to the main guidewire on the axial direction, therefore the problem of tanglement of the main guidewire the branch guidewires and other kinds of guidewires may be avoided.

Abstract: An improved system for assessing cognitive function is described that uses tracked electrical activity of the brain of the individuals in response to a specific sequence of stimuli in generating data sets, which, for example, can be encapsulated as a data structure. The data sets can include tracked specific response types, at different times and amplitudes, including, but not limited to, event related potential signal components. Brainwave features including, event related potentials, are tracked in relation to both pre-attentive brain responses and consciously controlled attention responses.

Abstract: Methods and devices and systems including a communication module operatively coupled to a data collection module for communicating the stored analyte related data after the analyte related data is stored in the data collection module over a predetermined time period, and a user interface unit configured to communicate with the communication module to receive from the communication module the stored analyte related data in the data collection module over the predetermined time period, and to output information associated with the monitored analyte level, where the user interface unit is configured to operate in a prospective analysis mode including substantially real time output of information associated with the monitored analyte level, or a retrospective analysis mode including limited output of information during the predetermined time period wherein no information related to the monitored analyte level is output during the predetermined time period, are provided.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are disclosed utilizing brain-computer interfaces (BCIs). Various embodiments are disclosed to allow a user to directly select multiple-choice answers, to provide motorized wheelchair controls, and to allow a user to play a game via the BCI. When used in a cognitive assessment test, embodiments include the administration of unmodified standardized tests with results in the same or a similar format as those taken without a BCI. Various embodiments are disclosed to improve the accuracy of BCI test administration using a three-step process for each test question, which includes determining whether the user intends to select an answer, monitoring user brain activity to determine a selected answer, and verifying the selected answer. In addition, the selected answer may be verified by monitoring user brain activity in accordance with a hold-release process to determine whether a user intends to initiate a state change.

Abstract: Disclosed are methods, apparatuses, etc. for calibrating glucose monitoring sensors and/or insulin delivery systems. In certain example embodiments, blood glucose reference samples may be correlated with sensor measurements with regard to a delay associated with the sensor measurements. In certain other example embodiments, a blood-glucose concentration in a patient may be determined based, at least in part, on one or more probability models, one or more functions for estimating blood-glucose concentrations, and/or blood glucose reference sample-sensor measurement pairs.

Abstract: A blood pressure monitor includes a processor configured to control a cuff pressure and calculate blood pressure information of a subject based on a cuff pressure signal representing the cuff pressure and a pulse wave signal superimposed on the cuff pressure signal. The processor calculates first blood pressure information of the subject who has maintained a recumbent position for a prescribed time period, maintains the cuff pressure at a first pressure lower by a prescribed value than a systolic blood pressure included in the first blood pressure information, determines if an amplitude of the pulse wave signal is equal to or greater than a threshold value when the cuff pressure is maintained at the first pressure and the subject is in an upright position, assesses an autonomic nerve function of the subject based on a result of the determination, and outputs a result of the assessment.

Abstract: Methods and devices and systems including a communication module operatively coupled to a data collection module for communicating the stored analyte related data after the analyte related data is stored in the data collection module over a predetermined time period, and a user interface unit configured to communicate with the communication module to receive from the communication module the stored analyte related data in the data collection module over the predetermined time period, and to output information associated with the monitored analyte level, where the user interface unit is configured to operate in a prospective analysis mode including substantially real time output of information associated with the monitored analyte level, or a retrospective analysis mode including limited output of information during the predetermined time period wherein no information related to the monitored analyte level is output during the predetermined time period, are provided.

Abstract: The present invention provides systems and methods for detection and diagnosis of concussion and/or acute neurologic injury comprising a portable headwear-based electrode array and computerized control system to automatically and accurately detect cortical spreading depression and acute neurological injury-based peri-infarct depolarization (CSD/PID). The portable headwear-based electrode system is applied to a patient or athlete, and is capable of performing an assessment automatically and with minimal user input. The user display indicates the presence of CSD/PID, gauges its severity and location, and stores the information for future use by medical professionals. The systems and methods of the invention use an instrumented DC-coupled electrode/amplifier array which performs real-time data analysis using unique algorithms to produce a voltage intensity-map revealing the temporally propagating wave depressed voltage across the scalp that originates from a CSD/PID on the brain surface.