Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

Systems and methods are described for detecting and characterizing seizures or seizure-related events. The methods herein may include determining magnitude and/or scaled magnitude data for each of at least one high and low frequency group of signals. Based on the determined magnitudes and/or scaled magnitude data, seizures or seizure-related events may be characterized.

A biological signal measuring equipment used in a measurement of a biological signal in a head portion, has a jaw contact portion that comes into contact with a forehead; an occiput contact portion that comes into contact with an occiput; and a supporter that is interposed in a front and rear direction of the head portion and is supported by the head portion by using the jaw contact portion and the occiput contact portion as ends. The biological signal measuring equipment performs the measurement in the same manner as the case of measuring a wave motion of a short period, even in the case of measuring the wave motion of a long period generated in a head portion.

A system, method and device are described for biometric analysis using a wearable device. The device can be removeably securable to a user's skin surface and can include a plurality of electrodes positioned to acquire electrical signals from the skin surface. The device can also include an electromyography acquisition module and skin impedance acquisition module. A processing unit can use the electrodes to capture a plurality of electrical signals including at least one electromyography signal. The processing unit can generate calibration data based on a subset of the captured electrical signals and process the electromyography signals using the calibration data to determine a biometric for the user.

A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb;
wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

One embodiment provides a method, including: detecting, at an electronic device, an event has occurred; detecting, using a device sensor, that the electronic device is proximate to at least one other person; accessing, in a storage location, a rule set including a rule regarding the detecting that the electronic device is proximate to at least one other person; identifying, using a processor of the electronic device, a type of notification for the event based on the rule set; and providing, using an output device of the electronic device, a notification of the type identified. Other aspects are described and claimed.

A system includes one or more sensors to detect activities of a mobile object; and a processor coupled to the sensor and the wireless transceiver to classify sequences of motions into groups of similar postures each represented by a model and to apply the models to identify an activity of the object.

An evoked potential monitoring system including a control unit having stimulator circuitry and a probe assembly coupled to the control unit. The probe assembly includes a stimulus probe and a stimulator handpiece selectively coupled to the stimulus probe. The handpiece includes a handle, control circuitry, and a switch. The control circuitry is electrically coupled to the stimulator circuitry. The switch is electrically coupled to the control circuitry and extends to an exterior portion of the handle. In this regard, movement of the switch remotely controls the stimulator circuitry to continuously increment or decrement a stimulation energy level delivered to the stimulus probe over a series of discrete, incremental steps.

A method for processing EEG signals includes reading the EEG signals from two frontal electrodes of an electroencephalograph (301); converting the EEG signals to a frequency domain (305); determining values of a BIS/BAS response on the basis of an asymmetry between the EEG signals (208). The method includes calculating the asymmetry between the EEG signals in the frequency domain in a frequency range from 26 to 29 Hz.