The object is to acquire electroencephalogram of high resolution with fewer number of electrodes than usual. An electroencephalogram measurement apparatus comprising: a plurality of electrodes 110 attached on the scalp of a subject for acquisition of electroencephalogram signals of the subject; and an electroencephalogram generation unit 150 for generating an electroencephalograms at locations of the scalp where the electrodes are attached and electroencephalograms at locations of the scalp where the electrodes are not attached.

A method of processing EEC signals received from a plurality electrodes. The method comprises processing the EEC signals to determine a modulation index value for each electrode, determining one or more electrodes that have a modulation index value above a threshold level observed during ictal activity, and using the determined one or more electrodes, to identify one or more possible regions of interest corresponding to seizure zones of a subject's brain.

Described is a system for training and assessment. In operation, the system classifies a subject's baseline brain state and behavioral performance. Training goals are assessed to specify tasks the subject is to perform and a desired level of performance. The subject is subjected to neurological stimulation while the subject performs specified tasks. Behavioral data is assessed to determine if the subject has achieved the training goals. If the subject has achieved the training goals, the system stops. Alternatively, if the individual has not achieved the training goals, then neurological data is reviewed to identify activation states and values of the neurological stimulation that resulted in increased performance values from the baseline behavioral performance. The activation states and values of the neurological stimulation are adjusted to match those that resulted in increased performance values. The process is repeated until the subject has achieved the training goals.

Described is a system for the therapeutic modification of human behavior and, more specifically, a system for the transcranial control of procedural memory reconsolidation for the purposes of enhanced skill acquisition. During operation the system records a practice pattern. The practice pattern is a recording of a sensed brain activity from a sensor array when a subject is performing a skill. The practice pattern is converted to brain activity voxels and stored as both an uncompressed practice pattern and a compressed practice pattern.

Disclosed are methods for detecting pain in a subject, such as a mammal (e.g., a human), using brain activity, e.g., as determined by electroencephalography. The methods are useful for treating or reducing the likelihood of pain in a subject by determining power amplitude from the power spectral density of the waveforms and, e.g., administering a therapeutic agent to the subject. The methods disclosed herein may also be utilized to screen for a therapeutic agent that decreases power amplitude using a non-human animal subject. The methods also feature the stimulation of thalamic reticular nucleus of a subject to treat or reduce pain.

The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

The present invention is directed to systems and methods for monitoring characteristics of a subject. A system according to an exemplary embodiment of the invention includes a sensor subsystem including at least one respiratory sensor disposed proximate to the subject and configured to detect a respiratory characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one respiratory signal representing the respiratory characteristic, and at least one physiological sensor disposed proximate to the subject and configured to detect a physiological characteristic of the subject, wherein the sensor subsystem is configured to generate and transmit at least one physiological signal representing the physiological characteristic, and a processor subsystem in communication with the sensor subsystem, the processor subsystem being configured to receive at least one of the at least one respiratory signal and the at least one physiological signal.

A heart monitoring system for a person includes one or more wireless nodes; and wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs.

A physiological signal processing system for a physiological waveform that includes a cardiovascular signal component provides a variable high pass filter that is responsive to the physiological waveform, and that is configured to high pass filter the physiological waveform in response to a corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filter and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequency that is applied to the variable high pass filter, based on the heart rate metric that was extracted. Analogous methods may also be provided.