Methods and systems for electrical stimulation can include obtaining a biosignal of the patient; altering at least one stimulation parameter of an electrical stimulation system in response to the biosignal; and delivering an electrical stimulation current to one or more selected electrodes of the electrical stimulation system using the at least one stimulation parameter. In some embodiments, a power spectrum is determined from the biosignal. In some embodiments, the biosignal is at least two different biosignals measured at the same or different locations on the patient and a coherence, correlation, or association between the two biosignal is determined.

The present invention provides a technology relating to a bio-signal measurement band which may prevent intrusion of foreign matter from the outside and reduce interference from external electromagnetic waves. Since intrusion of foreign matter from the outside is prevented, there is an advantage in that damage and deformation occurring within the bio-signal measurement band is prevented and thus the accuracy of measured bio-signals may be improved. In addition, since the bio-signal measurement band has a structure in which the bio-signal measurement band is shielded except the electrode thereof, there is an advantage in that the problem of a reduction of accuracy due to external electromagnetic waves is solved and thus bio-signals may be measured with improved accuracy.

The present invention provides a technology relating to a bio-signal measurement band which may prevent intrusion of foreign matter from the outside and reduce interference from external electromagnetic waves. Since intrusion of foreign matter from the outside is prevented, there is an advantage in that damage and deformation occurring within the bio-signal measurement band is prevented and thus the accuracy of measured bio-signals may be improved. In addition, since the bio-signal measurement band has a structure in which the bio-signal measurement band is shielded except the electrode thereof, there is an advantage in that the problem of a reduction of accuracy due to external electromagnetic waves is solved and thus bio-signals may be measured with improved accuracy.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.

To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.

Controllers induce a hypoglycemic condition within a predetermined blood glucose range and bacterial or viral infection are targeted for death. One or more controllers are in signal communication with sensors and measure physiological vital signs. Controllers are in signal communication with one or more fluid flow control devices to control delivery of at least insulin and glucose and at least one cocktail containing at least one of an antibiotic and an antiviral. The fluid control devices are in signal communication with at least one microprocessor having memory and the one or more physiological sensors, one or more databases or lookup tables and, wherein the controller controls the fluid control devices for at least insulin glucose, and the cocktail to keep blood glucose level (BGL) within a target hypoglycemic range.

Disclosed herein are methods, systems, and apparatus for treating a medical condition of a patient, involving detecting a physiological cycle or cycles of the patient and applying an electrical signal to a portion of the patient's vagus nerve through an electrode at a selected point in the physiological cycle(s). The physiological cycle can be the cardiac and/or respiratory cycle. The selected point can be a point in the cardiac cycle correlated with increased afferent conduction on the vagus nerve, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during inspiration by the patient. The selected point can be a point in the cardiac cycle when said applying increases heart rate variability, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during expiration by the patient.

A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Device and method for determining an efficacy of chronic pain treatment including providing a first set of at least one stimulus to a subject, obtaining first measurements of at least two physiological parameters in response to the first set of at least one stimulus, providing chronic pain treatment to the subject, providing a second set of at least one stimulus to the subject, obtaining second measurements of the at least two physiological parameters in response to the second set of at least one stimulus; and determining an efficacy of the chronic pain treatment by applying a classification algorithm on the first and second measurements of the at least two physiological parameters.