A system for treating a patient comprises a stimulator for stimulating brain tissue, a controller for setting stimulation parameters and a diagnostic tool for measuring patient parameters and producing diagnostic data. The stimulation parameters comprise test stimulation parameters and treatment stimulation parameters. The stimulator delivers test stimulation energy to the brain tissue based on at least one test stimulation parameter and delivers treatment stimulation energy to the brain tissue based on at least one treatment stimulation parameter. One or more treatment stimulator parameters are determined based on the diagnostic data produced by the diagnostic tool The system is constructed and arranged to treat a neurological disease or a neurological disorder. Methods of treating a neurological disease or neurological disorder are also provided.

A detection device generates plural attractors based on brainwave data. Subsequently, the detection device calculates a Betti number by subjecting the attractors to persistent homology transform. The detection device determines an onset of encephalopathy based on a first order component of a Betti sequence calculated based on the Betti number.

An information processing device includes a displaced position calculation processing unit, a spatial value acquisition processing unit, and a spatial value display processing unit. The displaced position calculation processing unit is configured to determine displaced position data on a position displaced from an optional point on surface shape data on a surface of a measurement target in a given direction by a given distance. The spatial value acquisition processing unit is configured to acquire, based on spatial region values represented by volume data formed in a space containing a shape of the measurement target and the displaced position data, a spatial region value for a position stored in the displaced position data. The spatial value display processing unit is configured to dispose and display a display material corresponding to the spatial region value on the surface shape data.

A method for calibrating and executing a rehabilitation exercise for a stroke-affected limb of a stroke patient is disclosed, the method comprising the steps of providing a haptic device for an able limb of the stroke patient to manipulate to perform a calibration action to result in a first position of the haptic device, and providing the haptic device for the stroke-affected limb to manipulate to perform the calibration action to result in a second position of the haptic device. The method further comprises the steps of moving the haptic device coupled with the stroke-affected limb from the second position towards the first position until a predetermined counterforce is detected, indicating an extreme position for the stroke-affected limb using the haptic device, and calibrating the haptic device with the extreme position such that during the rehabilitation exercise, the haptic device is prevented from moving beyond the extreme position.

An emotion estimating method includes: acquiring first data and second data from the subject, the first data corresponding to physiology data, and the second data corresponding to one of physiology data different from the first data and non-physiology data; calculating a first value and a second value based on the acquired first data and second data, the first value indicating a degree of arousal of the subject and the second value indicating a degree of valence of the subject; estimating the emotion of the subject, by using the calculated first value and second value and based on a predetermined association of people's emotions with a degree of arousal and a degree of valence of the people, the predetermined association being pre-stored in a memory; and outputting information indicating the estimated emotion.

A system, a computer readable storage medium, and a method for analyzing electroencephalogram signals can include a plurality of sensors configured to contact a skull and capture the electroencephalogram signals, one or more computer memory units for storing computer instructions and data, and one or more processors configured to perform the operations of clustering the electroencephalogram signals using at least stored objective data and added subjective data including patient profile data to provide clustered data results and predicting one or more among a medical diagnosis, assessment, plan, necessary forms, or recommendations for follow up based on the clustered data results.

A system includes a controllable device configured to provide a premises related service in an area. The system includes a neural device to be positioned with respect to a part of a body of a user and circuitry to process nerve signals detected in real-time. The system also includes a processor in communication with the circuitry, a memory and instructions stored in the memory for execution by the processor. Data stored in the memory associates each of some number of predetermined sets of nerve signals with a control instruction. Execution of the instructions configures the processor to use the stored data to analyze the real-time detected nerve signals to determine when real-time detected nerve signals correspond to one of the predetermined sets of nerve signals and generate a control data signal based on the associated control instruction to cause a controller to control an operation of the controllable device.

A first device comprises at least one amplifier. The at least one amplifier is configured to receive a plurality of sensor signals from a plurality of sensors. The at least one amplifier is configured to amplify at least two of the sensor signals to generate a plurality of amplified signals. Each of the amplified signals corresponds to one of the sensor signals. The first device comprises a plurality of modulators. Each of the modulators is configured to modulate one of the amplified signals to a distinct center frequency through employment of a Voltage Controlled Oscillator (VCO) to generate a modulated signal. The first device comprises an adder configured to create a composite signal. The composite signal comprises the modulated signal from each modulator. The composite signal is configured for transmission to a second device.

Aspects are generally directed to a compact and low-noise electric field detector, methods of operation, and methods of production thereof. In one example, an electric field detector includes a proof mass, a source of concentrated charge coupled to the proof mass, and a substrate having a substrate offset space defined therein, the proof mass being suspended above the substrate offset space. The electric field detector further includes a sense electrode disposed on the substrate within the substrate offset space and proximate the proof mass, the sense electrode being configured to measure a change in capacitance relative to the proof mass from movement of the proof mass in response to a received electric field at the source of concentrated charge. The electric field detector includes a control circuit coupled to the sense electrode and configured to determine a characteristic of the electric field based on the measured change in capacitance.

Apparatuses and methods for non-invasively detecting and classifying transcranial electrical signals are disclosed herein. In an embodiment, system for detecting and interpreting transcranial electrical signals includes: a headset including a plurality of electrodes arranged for detection of the user's transcranial electrical signals; a display configured to display information to the user while the user wears the headset; and a control unit programmed to: (i) receive data relating to the transcranial electrical signals detected by the electrodes of the headset; (ii) create a data matrix with the received data; (iii) convert the data matrix into one or more user values; (iv) define a user output state based on the one or more user values; and (iv) cause alteration of an aspect of the display based on the user output state.