Abstract: An exemplary embodiment providing one or more improvements includes apparatus and methods for sensing electrical activity in tissue of a person in a manner which is substantially limits or eliminates interference from noise in a surrounding environment.

Abstract: Methods of cortical mapping in real-time are provided. Aspects of the methods include performing real-time processing of signals indicative of a subject's brain activity by applying one filter or more to the signals, wherein the processing is in the absence of averaging based on time. Systems for cortical mapping in real-time are also provided. The methods and systems are useful in research, diagnostic, and therapeutic applications.

Abstract: Provided are a method and systems for performing pulse oximetry. A light signal is emitted for a period of time and a modulated light signal is detected. The modulated light signal includes a red signal and an infrared signal. The modulated light signal is originated by an interaction of the light signal with a pulsatile tissue and a non-pulsatile tissue. The modulated light signal is processed to estimate an oxygen saturation in the pulsatile tissue during the period of time. The processing includes removing a non-pulsatile component resulting from the interaction of the light signal and the non-pulsatile tissue. The non-pulsatile component can be removed by removing a first parameter from an intensity of the infrared signal and a second parameter from an intensity of the red signal. The parameters are pre-determined using a calibration process to reproduce a true value for a ratio used to determine the oxygen saturation.

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 method for storing data of photoelectrically synchronous brain activity recording, said method comprising: generating data when a photoelectrically synchronous brain activity detection system is operating; generating from said data a data storage file comprising a basic information data segment, a near-infrared spectrum data segment and a brain electrical activity data segment, and sequentially storing said data segments into a .neg file in binary form according to the above order. The method can store comprehensive test information, flexibly configure the near-infrared and brain electrical measurement information, and realize synchronous storage of near-infrared data and brain electrical data and maintain file version compatibility.

Abstract: There is provided a biological rhythm disturbance degree calculating device, including a physiological index time series data acquiring unit which acquires time series data of a physiological index calculated from a biomedical signal of a subject, a calculation period deciding unit which decides a calculation period which is a time length corresponding to substantially a half of a cycle with which daily-life physiological index time series data calculated from the biomedical signal measured in daily life fluctuates, a calculating unit which calculates, during the calculation period, a phase shift amount between inspected physiological index time series data calculated from the biomedical signal measured during an inspection and the daily-life physiological index time series data, and a disturbance degree deciding unit which decides a disturbance degree of a biological rhythm during the inspection of the subject based on the phase shift amount.

Abstract: Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Abstract: Devices and systems provide methods for detecting respiratory related effort from movements associated with the head or face. In one embodiment, a strain signal is measured by one or more sensors. A processor may analyze the head strain signal to detect respiratory related effort. Detection of effort may serve as a basis for identifying sleep disordered breathing events. For example, the analysis may serve as part of a detector to identify central or obstructive apneas or central or obstructive hypopneas. Sensors may be integrated with headgear to support them at desired locations of the face or head. Strain from head movement may be detected by measuring, for example, tension of the headgear or force applied against the headgear. The headgear may serve as an independent support for the sensors or as a component of a respiratory treatment apparatus, such as a mask or cannula.

Abstract: Method and system for providing diabetes management is provided.

Abstract: Many electrodes are positioned inside a skull for obtaining several electric voltage variation wave information. A processing unit computes subtract operation between two neighboring electrical voltage variation wave information respectively and then can obtain electrical voltage difference waves. Furthermore, each electrical voltage difference wave is separated into a first band wave signal and a second band wave signal. After which, several first band wave envelope signals and second band wave envelope signals are obtained. It conducts a co-relation processing about the first band wave envelope signals and the second band wave envelope signals. So, a co-relation table is obtained for determining a position where an intracranial brain wave abnormality occurs. In this invention, a unique scientific approach to determine the spatial position of seizure onset occurred inside the brain. In addition, the position of intracranial brain wave abnormality can be concretized and visualized by the co-relation table.

Abstract: Methods and systems are provided for measuring the flow of fluid (e.g., blood) in vasculature of a human by heating the fluid in a portion of the vasculature and detecting the temperature of fluid in and/or tissue proximate to a downstream portion of the vasculature. The blood is heated by emitting energy through an external body surface into the portion of vasculature. The temperature of the downstream portion of vasculature is detected by an infrared sensor receiving infrared light from the body and/or a temperature sensor in thermally conductive contact with the body. The flow of fluid in the portion of vasculature can be determined by determining a latency between a change in the detected temperature relative to a change in the emitted energy, by determining a difference between the detected temperature and a detected temperature of another portion of the body, or by some other method.

Abstract: Method for determining a parameter which is indicative for whether a patient is delirious or not, or is at risk of becoming delirious or not, wherein the method comprises the steps of: —providing electroencephalography (EEG) data comprising recording signals from at least two electrodes located on different locations on the patient's scalp during a predetermined time period, for instance at least 10 seconds, wherein at least one of the signals is recorded from the frontal half on the scalp; —processing said EEG data for obtaining a deviation signal from the two recording signals from the electrodes; —analyzing said deviation signal in the frequency spectrum for establishing slowing of said deviation signal and defining the parameter as the degree of slowing of said deviation signal which in combination with the locations of the recordings on the patient's scalp is indicative whether said patient is delirious or not, or is at risk of becoming delirious or not.

Abstract: The present invention relates to a method for the real-time identification of seizures in an Electroencephalogram (EEG) signal. The method provides for patient-independent seizure identification by use of a multi-patient trained generic Support Vector Machine (SVM) classifier. The SVM classifier is operates on a large feature vector combining features from a wide variety of signal processing and analysis techniques. The method operates sufficiently accurately to be suitable for use in a clinical environment. The method may also be combined with additional classifiers, such a Gaussian Mixture Model (GMM) classifier, for improved robustness, and one or more dynamic classifiers such as an SVM using sequential kernels for improved temporal analysis of the EEG signal.

Abstract: The invention disclosed herein includes amperometric glucose sensors having electrodes formed from processes that electrodeposit platinum black in a manner that produces relatively smooth three dimensional metal architectures, ones that contribute to sensor reliability and stability. Embodiments of the invention provide analyte sensors having such uniform electrode architectures as well as methods for making and using these sensor electrodes. A number of working embodiments of the invention are shown to be useful in amperometric glucose sensors worn by diabetic individuals.

Abstract: Described are novel methods for the diagnosis of specific mental disorders using neurometrics. EEG parameters are compared to thresholds to determine if a person is suffering from autism spectrum disorder, Alzheimer's disease, anxiety, depression, or schizophrenia.

Abstract: An EEG monitoring system (2) adapted to be carried continuously by a person to be monitored comprises electrodes for measuring at least one EEG signal from the person carrying the EEG monitoring system (2). The system also comprises signal processing means adapted to receive, process and analyze the EEG signal. Furthermore the system comprises data logging means adapted to log data relating to said EEG signal and a memory for storing said data relating to said EEG signal. A method of using the monitoring system is also provided.

Abstract: The present disclosure discloses an apparatus for a brain computer interface (BCI) including a feature extraction filter trainer for training a feature extraction filter which minimizes an influence of a background brain wave while maximizing a difference between intended brain waves; and a classifier trainer for training a classifier for classifying the intended brain waves by using a feature vector obtained by filtering the intended brain wave at the feature extraction filter. With the apparatus, only the background brain wave is additionally measured, such that previous intended brain wave data can be reused and the brain wave can be classified more quickly and accurately.

Abstract: Systems and methods for monitoring and/or assessing metabolic and/or cardiopulmonary parameters of a subject are disclosed. Systems and methods for high speed monitoring of metabolic parameters of a subject in a substantially unrestricted setting are disclosed. Further disclosed are wearable systems and methods for substantially unobtrusive monitoring of a breath stream from a subject. Also disclosed are wearable systems and methods for real-time monitoring of the respiratory function and/or one or more disease states of a subject. Data systems to coordinate simultaneous monitoring of one or more metabolic and/or cardiopulmonary parameters of a plurality of subjects are also disclosed.

Abstract: Provided are a cognitive function evaluation apparatus, a cognitive function evaluation method and system, and a program that can be implemented for non-handicapped persons and persons with severe motor impairment. The apparatus according to the present invention is an apparatus for evaluating cognitive function provided with a processing unit that analyzes and processes a brain wave caused by a plurality of stimulus events including a target and a non-target; estimates a stimulus event selected as the target from the plurality of stimulus events; determines a discrimination score or decoding accuracy; and evaluates cognitive function on the basis of a value of one or more of the discrimination score, the decoding accuracy, any of time courses, and decoding speed.

Abstract: Systems and methods are provided for monitoring a subject, and particularly, for inferring an underlying brain state present in absence of current conditions. In some aspects, a method for monitoring the subject is provided including steps of receiving physiological feedback from at least one sensor configured to acquire physiological information from locations associated with a subject's brain, assembling a set of time-series data using the received physiological feedback, and identifying portions of the set of time-series data that indicate a burst suppression state. The method also includes identifying a burst characteristic profile associated with a burst pattern determined from the identified portions, and comparing the burst characteristic against a reference set of burst profiles.