Abstract: Two types of information processing devices includes circuitry to display, on a display device, a position representation area indicating a position of each of a group of sensors that detects biomedical signals of a test subject, display on the display device a selection acceptance area accepting selection of a plurality of positions of a plurality of desired sensors, the plurality of positions being selected from the group of sensors using an operating unit, and display on the display device a waveform display area displaying a waveform output from the plurality of desired sensors corresponding to the plurality of selected positions. In the first type of information processing device, single-region data indicating a region including the plurality of selected positions is displayed in the position representation area. In the second type of information processing device, the plurality of selected positions are enlarged and displayed in the position representation area.

Abstract: Systems and methods related to imaging biomarkers for determining neurological disease states of a subject are provided. In one embodiment, a method for producing an image indicative of a neurological disease using a magnetic resonance imaging (“MRI”) system is provided. The method includes directing the MRI system to perform a double inversion-recovery (“DIR”) pulse sequence to generate data where signals from gray matter and cerebral spinal fluid are substantially suppressed. The method also includes analyzing the DIR images, reconstructed from the acquired data, to identify cortical and white matter lesions. This includes identifying imaging biomarkers based on visual signatures of brain tissue, including white matter tissue. In some aspects, diffusion-weighted data may also be obtained using the MRI system.

Abstract: A method for graphically displaying evoked potentials is disclosed herein. The method transforms each of an averaged evoked potentials into a single vertical line, wherein a first amplitude range is represented by a first color, a second amplitude range is represented by a second color, a third amplitude range is represented by a third color and a fourth amplitude range is represented by a fourth color.

Abstract: Methods, systems, and machine-readable to adapt delivery of content composites to an endpoint media device are disclosed. A first content composite may be transmitted via a packet stream to an endpoint media device. A communication from the endpoint media device that is indicative of having output at least part of the first content composite for display may be processed. Operational data from that is indicative of operations executed by the endpoint media device or a communication device may be processed and mapped to one or more operational values correlated to a metric that corresponds to endpoint disconnection with the first content composite may be identified. A second content composite to be inserted into the packet stream to the endpoint media device may be selected. The second content composite may be transmitted via the packet stream from the content provider system to the endpoint media device.

Abstract: A disposable apparatus for electroencephalography measurement on a human subject is provided. The disposable apparatus for electroencephalography measurement may be securely attached to the subject's head without attachment gel contacting the subject' scalp. A transparent body is provided for easy placement of electrodes. Methods to use the apparatus for electroencephalography measurement are also provided.

Abstract: A method for evaluating a treatment for a brain condition, including: extracting one or more microstate parameter values from at least one EEG signal that was measured after the treatment; and evaluating at least one parameter of the treatment based on the one or more microstate parameter values.

Abstract: The method for inducing sleep by a sleep inducing system includes acquiring brain signals of a user as sleeping time passes; calculating a functional connectivity value between two channels for each frequency based on the acquired brain signals and performing brain network analysis; determining the stage of sleep of the user based on features of the analyzed brain network; determining a target frequency according to the determined stage of sleep and generating a binaural beat with which the brain signals of the user are induced to the target frequency; combining the generated binaural beat with ASMR information; providing the combined auditory stimulus information to the user; and determining whether the current stage of sleep of the user is maintained at an appropriate proportion with respect to total sleep time, determining whether or not to induce the next stage of sleep, and performing feedback according to the result of determination.

Abstract: Provided in the embodiments of the present disclosure are a control method and device based on brain signal, and a human-machine interaction device, which periodically acquire EEG signals and cerebral oxygen signals within a target period, generate an electroencephalogram (EEG) wave curve representing changes of the EEG signals and a cerebral oxygen wave curve representing changes of the cerebral oxygen signals respectively within the target period, determine whether the EEG wave curve and the cerebral oxygen wave curve satisfy a condition for controlling a controlled device to perform a target operation, and control the controlled device to perform the target operation when the EEG wave curve and the cerebral oxygen wave curve satisfy the condition.

Abstract: This invention is a wearable brain activity device with electrodes held on a person's head by a frame comprising a ring portion which encircles the person's head and an arc portion which loops over the top of the person's head. Data from the electrodes is used to analyze the person's brain activity within a frequency band of 0.5-4 Hz. The device includes a speaker or vibrating member which is used to help to guide the person's brain activity from a first pattern to a second pattern.

Abstract: A system and method to screen for malignant gliomas, other brain tumors, and brain injuries use disturbance coefficient, differential impedances, and artificial neural networks. The system uses prescribed excitation signals with several system configurations to measure the differential impedances, calculate harmonic responses and nonlinearity of brain tissue, and estimate the disturbance coefficient that indicates the likelihood of malignant gliomas, other brain tumors, and brain injuries. The disturbance coefficient is a weighted sum of many parameters such as receiving differential impedances, transmission differential impedances, harmonic responses, frequency dispersion, and nonlinear responses using different system configurations and different excitation signals. The method includes arranging the transmitters, receivers, and transmission lines to maximize the sensitivity of detecting brain tissue condition.

Abstract: There is provided a system, system architecture, and method for neural cross-frequency coupling analysis. In an embodiment, the method includes: receiving neural signals; extracting a phase frequency signal and an amplitude frequency envelope signal from each of the neural signals; determining a first measure of cross-frequency coupling comprising a mean vector length modulation index (MVL-MI), determining the MVL-MI comprises determining a magnitude of an averaged complex-valued time series from a plurality of samples of the neural signals to extract a phase-amplitude coupling measure, each sample associated with a respective one of the amplitude frequency envelope signals and the phase frequency signals; and outputting at least one measure of the cross-frequency coupling.

Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.

Abstract: A method for delivering fluid to the brain of a subject using an intraparenchymal catheter, the method comprising the step of inserting the catheter 5 into the brain using a posterior to anterior approach and methods of treating neurodegenerative disorders using this delivery method, as well as methods for delivering fluid to an elongate structure of the brain using an intraparenchymal catheter, the method comprising the step of inserting a catheter into the brain along an insertion axis that is substantially aligned with a long axis of the elongate structure.

Abstract: This invention relates to a method to control at least one actuator to carry out at least one task comprising repetitive sequences of operations, shorter than 1000 milliseconds by acquiring of endogenously generated electrical potentials within gamma frequency range generated by the brain and/or by the muscles of the body, head, or eyes of a human user, by acquiring electrical signals with sampling rate of at least 250 samples/s, by extracting the features of the signals related to high-frequency gamma waves between 30-200 Hz, by classifying, mapping and converting the signals into actions in real time, and by sending feedback and neurofeedback to a human user to enable him to control the interface.

Abstract: A method and system is provided for pre-processing of an electroencephalography (EEG) signal for cognitive load measurement. The present application provides a method and system for pre-processing of electroencephalography signal for cognitive load measurement of a user, comprises of capturing the electroencephalography signal from the head of the user, detecting the plurality of system artifacts in the captured electroencephalography signal, detecting and removing noisy window from the captured electroencephalography signal, detecting an eye blink region and filtering out said detected eye blink region from the captured electroencephalography signal, utilizing the filtered electroencephalography signal for measuring the cognitive load of the user and subsequently computing different levels of mental workloads on the user using variation of spatial distribution of frontal scalp EEG electrodes for measured cognitive load.

Abstract: A system including a controllable device configured to provide a premises related service in an area of a premises. The system includes an electroencephalography (EEG) device configured to be positioned with respect to a head of a user and process signals detected in real-time. The system also includes a processor in communication with the EEG device, a memory accessible by the processor and instructions stored in the memory for execution by the processor. A data is stored in the memory that associates each of a plurality of predetermined sets of signals from the brain detected via the EEG device with at least one control instruction. The execution of the instructions configures the processor to using the stored data, analyze the real-time detected signals to determine that the real-time detected signals correspond to one of the plurality of predetermined set of signals associated with the one control instruction and generate a control data signal based on the one control instruction.

Abstract: An information processing apparatus includes a display controller configured to group dipole estimation results with the same direction out of dipole estimation results of a signal source corresponding to part of biological data indicating a chronological change of a biological signal and display the grouped dipole estimation results in a manner superimposed on a plurality of biological tomographic images sliced in a predetermined direction. The display controller is configured to, when displaying a non-grouped dipole estimation result, display the non-grouped dipole estimation result in a different color or form from a color or a form of the grouped dipole estimation results depending on a direction of the dipole estimation result.

Abstract: An electrical stimulation controlling device and an electrical stimulation system are provided. In which, the electrical stimulation controlling device includes a receiving circuit and a controller coupled to the receiving circuit. The receiving circuit is configured to receive an ictal neural signal which is a signal obtained by a detector when a neural event has been occurring. The controller is further coupled to a stimulator and configured to: determine a time point to start an electrical stimulation according to the ictal neural signal after an onset of the neural event has been determined; and generate and transmit a control signal to the stimulator for providing the electrical stimulation according to the determined time point.

Abstract: A system for providing a visual summary of a condition of a patient when traumatic brain injury (TBI) is suspected or diagnosed includes at least one patient condition sensor configured to sense data representative of a patient condition parameter of interest for a TBI patient; at least one airflow sensor configured to sense data representative of ventilations provided to the patient; at least one visual display for providing the visual summary to a user; and at least one controller. The at least one controller is configured to cause the visual display to provide the visual summary. The visual summary can include at least one visual representation of at least one patient condition parameter for each time interval of a plurality of time intervals, at least one visual representation of ventilation information, and a visual indication of when at least one patient condition parameter is outside of a target range.

Abstract: A biological signal measurement system includes: a biological signal measurer that measures a biological signal including external noise of biological noise and of environmental noise; biological noise measurer that measures a signal including the biological noise; a biological noise estimator that estimates the biological noise from the signal measured by the biological noise measurer; an environmental noise measurer that measures a signal including the environmental noise; an environmental noise estimator that estimates the environmental noise from the signal measured by the environmental noise measurer; and a calculator that calculates the biological signal in consideration of an effect of the external noise using the signal measured by the biological signal measurer, the biological noise estimated by the biological noise estimator and the environmental noise estimated by the environmental noise estimator.

Abstract: A method of determining respiratory phase of a living body from a sequence of digitized fluoroscopic images of a living-body region exhibiting respiratory displacement, the method employing programmable computing apparatus and comprising the steps of: (a) in each living-body-region image in the sequence, defining one or more zones with each image having identical image-to-image zone locations, sizes, and shapes; (b) for each image, computing an average pixel intensity for each zone to form a sequence thereof for each zone; (c) for each zone, modifying the average pixel intensities by (i) computing the mean value of the sequence of average pixel intensities for such zone, and (ii) subtracting the mean from each average pixel intensity in the zone; (d) for each zone sequence, computing a figure-of-merit; (e) selecting the zone having the highest figure-of-merit; and (f) using the sequence of pixel intensities of the selected zone to determine respiratory phase.

Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: The invention provided herein relates to a wearable medical device and methods of use thereof for monitoring brain signals by electroencephalography technology in critically ill subjects suspected of having abnormal brain wave patterns including but not limited to electrographic seizures, spike and waves, periodic discharges and rhythmic delta activity.

Abstract: Apparatuses, methods, systems, and program products are disclosed for adjusting display settings of a head-mounted display. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive sensor data from one or more sensors operably connected to a head mounted display (“HMD”) unit while a user wears the HMD unit. The code is executable by the processor to determine a user's cognition level based on the sensor data. The code is executable by the processor to adjust one or more display settings of the HMD unit based on the determined cognition level for the user.

Abstract: A seizure detection system including one or more circuits, the one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to determine metrics based on the EEG signal, the metrics indicating non-linear features of the EEG signal, determine that the EEG signal indicates a candidate seizure by determining, based at least in part on the metrics, a change in the non-linear features of the EEG signal over time, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure. The change in the non-linear features indicates a physiological force that gives rise to the candidate seizure.

Abstract: Disclosed herein is a line-of-sight detection apparatus connected to a brain-wave measurement apparatus configured to measure brain waves of a user, a pupil observation apparatus configured to observe a pupil of the user, and a display apparatus. The line-of-sight detection apparatus includes: an attention position identification block configured to identify, by use of measurement results by the brain-wave measurement apparatus obtained when a video having a predetermined pattern is displayed on a screen of the display apparatus, a position of attention of the user inside the screen; and a correlation identification block configured to identify a correlation between a line-of-sight direction of the user and a position inside the screen by use of observation results by the pupil observation apparatus obtained when the attention position is identified and the identified attention position.

Abstract: A system for monitoring neural activity of a living subject is provided. The system may comprise a correspondence module configured to be in communication with (1) a neural module and (2) one or more additional modules comprising a sensing module, another neural module, and/or a data storage module. The neural module(s) are configured to collect neural data indicative of perceptions experienced by the living subject. The sensing module may be configured to collect (1) sensor data indicative of real-world information about an environment around the living subject, and/or (2) sensor data indicative of a physical state or physiological state of the living subject. The data storage module may be configured to store prior neural data and/or prior sensor data.

Abstract: 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.

Abstract: Measured values are obtained from multiple points of a target by thinning out and measuring or measuring and then thinning out. A calculator 102 of a reconstructing device 101 calculates a variance/covariance matrix of the multiple points from calibration values measured at different points at the same time among the measured values. A corrector 103 obtains corrected values by interpolating unmeasured values for times when the measured values are absent at each of the multiple points. Here, the corrector 103 obtains the corrected values so that a variance/covariance matrix of the multiple points that should be calculated from the corrected values matches or approximates to the variance/covariance matrix calculated from the calibration values.

Abstract: System and method for validating algorithms used in medical devices is disclosed. As disclosed, the system and method include generating a synthetic waveform, inputting the generated synthetic waveform to the testing device, capturing an output values for the input values generating synthetic waveform from the testing device; and comparing the output values to the input values to determine performance metrics of the testing device to validate the algorithm on the testing device.

Abstract: A reduced attention state estimation system includes an eyeball movement and eyelid activity measurement unit that measures an eyeball movement and an eyelid activity of a subject to obtain eyeball movement and eyelid activity data, a section determination unit that determines an eye opening section, an eye closing section, an eye-blinking section and a cluster section based on the eyeball movement and eyelid activity data, an eyeball movement and eyelid activity-related information calculation unit that calculates a sharpness of microsaccade or the like for each eye opening section based on the eyeball movement and eyelid activity data, and an attention assessment unit that determines an attention assessment or the like for an eye opening/cluster section, which is an eye opening section and cluster section, based on the sharpness of microsaccade or the like.

Abstract: A system for differential recording connectable to an electrical lead with at least two electrodes, including: the lead having a distal end; at least one amplifier electrically connectable to the at least two electrodes, wherein the at least one amplifier subtracts a signal recorded by one of the at least two electrodes, from a signal recorded by the other one of the at least two electrodes to generate a differential signal; a memory configured for storing said differential signal and reference indications of electrical signals associated with neural tissue; a processing circuitry for detection of an anatomical position, wherein the processing circuitry calculates an anatomical position of the electrical lead based on processing of the differential signal and the reference indications of electrical signals associated with the neural tissue.

Abstract: Provided is a method for mapping a neural area involved in speech processing, including applying a plurality of recording electrodes to a surface of a cortex of a human subject, presenting a plurality of auditory stimuli to the subject wherein some of the plurality of stimuli are speech sounds and others of the plurality of auditory stimuli are non-speech sounds, recording brain activity during the presenting of the plurality of auditory stimuli, and identifying one or more brain areas wherein activity changes more after presentation of speech sounds than it does after presentation of non-speech sounds, wherein the human subject does not speak during the presenting and the recording. Also provided is a method for mapping a neural area involved in speech production wherein the human subject does not speak during presenting speech stimuli and recording neural activity.

Abstract: A skin-adorned physiological or biochemical sensing device is disclosed herein. The device preferably comprises a first substrate and a second substrate. The first substrate comprises an array of solid microneedles designed to penetrate a biological interface to access a physiological fluid or tissue. Each microneedle is capable of electrical interface with the physiological fluid or tissue. The second substrate comprises integrated circuitry designed to transduce at least one signal produced by an electrophysiological or electrochemical reaction. A sensing device is formed that is capable of interpreting the signal arising from the electrophysiological or electrochemical reaction to ascertain the level of some physiological or biochemical entity.

Abstract: An example system includes an analyzer to determine a first distance between (1) a first peak in a first frequency band of first neuro-response data gathered from a subject while exposed to media and (2) a second peak in the first frequency band; determine a second distance between (1) a third peak in the first frequency band and either (2) the second peak in the first frequency band or (3) a fourth peak in the first frequency band and determine a first difference between the first distance and the second distance. The example system includes a selector to determine a modification for the media based on the first difference and a modifier to implement the modification for presentation of the media.

Abstract: A truncated icosahedral neural sensor net and modular elements therefor. The neural sensor net comprises a plurality of substantially pentagonally shaped elements connected to each other with elongate elastic tension lines at their respective vertices, the tension lines defining therebetween a plurality of substantially hexagonally shaped elements. The neural sensor net may be assembled from a plurality of modular elements.

Abstract: There is provided a method and wearable eye-tracking device for determining a fatigue level of a user, the method comprising the steps of acquiring two channels of an observed EEG (electro-encephalogram) signal using a plurality of silver chloride (AgCl) electrodes positioned in contact with and around the user's ear, obtaining user's inputs for a plurality of psychological questions and calculating an evaluation metric, decomposing the observed EEG signal using filter and blind signal separation techniques into a plurality of features, classifying and converting the plurality of features in combination with the calculated evaluation metric to a fatigue level using a classification algorithm and fuzzy logic and outputting the obtained fatigue level along with customized prompts to the user through visual and audio signals for preventing an accident.

Abstract: An information handling system operating a performance optimization system may comprise a processor executing computer program code instructions that interact with a plurality of computer operations and that is configured for iteratively sampling field performance data of the information handling system during learning windows having a preset duration and occurring at a preset frequency according to optimal learning window parameters, and adjusting the performance of the information handling system via adjustment of optimized system configurations based on application of a predetermined statistical model to the iteratively sampled field performance data. The optimal learning window parameters may be determined based on accuracy of previous application of the predetermined statistical model to test performance data of the information handling system.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: The present disclosure relates to a system and a method for estimating an acute cerebral infarction onset time. The method according to the present disclosure includes at least: receiving a first image and a second image of a first patient whose acute cerebral infarction onset time is not identified; extracting an infarction area image from the second image; aligning the second image with the first image; defining an infarction area in the first image, based on a result of the alignment of the second image with the first image; extracting feature information of the first patient, from the infarction area in the first image; comparing the extracted feature information with reference data; and calculating an amount of time that has elapsed since the acute cerebral infarction onset time, based on a result of the comparison of the extracted feature information with reference data.

Abstract: The invention relates to a method of testing an infant, comprising the following steps: displaying a target on a screen; detecting contact made by the infant with the screen inside and/or outside the target; calculating a success parameter on the basis of the contact detected; and recording the calculated success parameter in a memory.

Abstract: An evoked potential measuring apparatus includes: an evoked potential acquiring section which is configured to acquire a plurality of evoked potential waveforms from a subject in response to stimulation; an average processing section which is configured to arithmetically average the plurality of evoked potential waveforms to acquire an average waveform; a first statistical value calculator which, each time a waveform set including an N (N is 2 or more) number of evoked potential waveforms is acquired, is configured to calculate a first statistical value of the waveform set; and an updation processing section which is configured to update the average waveform to eliminate a waveform set in which the first statistical value exceeds a first threshold, from the arithmetic average.

Abstract: A method for characterizing a brain electrical signal comprising forming a temporo-spectral decomposition of the signal to form a plurality of time resolved frequency signal values, associating each instance of the signal value with a predetermined function approximating a neurological signal to form a table of coefficients collectively representative of the brain electrical signal.

Abstract: Provided are a mobility and a mobility system which enable a person who requires nursing care with a deteriorated bodily function or cognitive function to lead a life with greater independence. The drive and travel of the mobility by the travel drive unit are controlled by adjusting the current travel state of the mobility to an optimal travel state for ensuring safety while reflecting the user's intention based on the current operation instruction detected by the operation unit, the command signal generated by the voluntary control unit, the travel environment sensed by the environment sensing unit, and the respective types of environmental information acquired by the information acquisition unit.

Abstract: A wireless earpiece includes a wireless earpiece housing, a processor, and a transceiver configured to produce electromagnetic pulses capable of reaching a brain of a user. A method of stimulating the brain of the user using the wireless earpiece includes receiving a request at the wireless earpiece and generating an electromagnetic pulse in response to the request.

Abstract: An ambulatory medical device that can communicate with a vehicle is described. An example of the ambulatory medical device includes one or more sensing electrodes configured to sense cardiopulmonary signals of a patient, a network interface, and one or more processors configured to receive signals from one or more vehicle occupancy sensors, detect usage of the ambulatory medical device in a vehicle based on the received signals from the one or more vehicle occupancy sensors, detect at least one of a medical event and a medical premonitory event of the patient based on the sensed cardiopulmonary signals, and provide driving control information to the vehicle, via the network interface, based at least in part on the detected usage of the ambulatory medical device in the vehicle and the detected medical event or medical premonitory event of the patient.

Abstract: This invention relates to methods and systems for determining network connections. It is particularly, but not exclusively, related to methods and systems for determining network connections in sparse networks, and has particular application to EEG data. An aspect of the invention provides a method for identifying, in a network of interacting nodes simultaneously producing signals, connections between said nodes and of estimating connection coefficients between nodes identified as connected which includes the steps of setting to zero connection coefficients where the calculated coherence or partial coherence is below a first predetermined threshold and subsequently setting to zero connection coefficients where the estimated connection coefficients are below a second predetermined threshold, and then re-estimating the connection coefficients for the combinations of nodes for which the connection coefficients have not already been set to zero.

Abstract: An apparatus for measuring patient data includes a frame having a plurality of electrode hubs. Each hub can include one or more electrode members. The frame can be configured to receive a head of a patient. Each of the electrode hubs can have a single electrode member or a plurality of electrode members that extend from or are connected to an outer member for contacting a scalp of the head of the patient. The outer member can have at least one circuit configured to transmit data received by at least one of the electrode members to a measurement device via a wireless communication connection (e.g. Bluetooth, near field communication, etc.) or a wired communication connection.

Abstract: A method for assessment, optimization and logging of the effects of a therapy for a medical condition, including (a) receiving into a signal processor input signals indicative of the subject's brain activity; (b) characterizing the spatio-temporal behavior of the brain activity using the signals; (c) delivering a therapy to a target tissue of the subject; (d) characterizing the spatio-temporal effect of the therapy on the brain activity; (e) in response to the characterizing, optimizing at least one parameter of the therapy if the brain activity has not been satisfactorily modified and/or has been adversely modified by the therapy; (f) characterizing the spatio-temporal effect of the at least one optimized parameter; and (g) logging to memory the at least one optimized parameter. A computer readable program storage unit encoded with instructions that, when executed by a computer, performs the method.

Abstract: We report a method of a method for detecting an epileptic seizure, comprising providing a first body signal reference value; determining a current body signal value from a time series of body signals; comparing the current body signal value and the first reference value; determining a work level of the patient; determining whether the current body signal value comprises an ictal component, based on the work level and the comparing; issuing a detection of an epileptic seizure in response to the determination that the current body signal value comprises the ictal component; and taking at least one further action (e.g. warning, delivering a therapy, etc.), based on the detection. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.