The invention discloses a method of operating a system for neurofeedback (NFB) that includes trained animal in a feedback chain. Feedback chain consists of the following steps:

A->B->C->D->A wherein said steps are: A. real time recording of the subject's EEG performed by the user module and forwarded to the mobile module; B. analytics of the recorded signal performed by the mobile module and algorithmic decisioning about the stimulation form; C. forwarding the stimulation towards the animal by using of one or more ultrasonic speakers simultaneously wherein the information needed for the animal performance is forwarded in the form of a coded ultrasonic signal; and D. performing of a learned action by the animal triggered by the received ultrasonic signal from the step C which provides a stimulus to the subject exposed to the NBF training.

The present method and system provides for the clinical application of neurostimulation and/or neuromodulation to a patient. The method and system includes receipt and acquisition of patient data, processing of that data relative to one or more known data sets, and determination of a good-fit trigger specific treatment protocol. The method and system provides for application of the protocol to the patient, including delivery of neuromodulation and biofeedback. Based thereon, the method and system re-iterates the goodness of fit determination for further treatment to the patient.

A brain machine interface (BMI) for improving a performance of a subject is provided. The BMI has two decoders that act in real-time and in parallel to each other. The first decoder is for intention execution of a subject's intention. The second decoder is for error detection in a closed-loop error fashion with the first detector and to improve the performance of the first detector. Embodiments of this invention may enable an entirely new way to substantially increase the performance and robustness, user experience, and ultimately the clinical viability of BMI systems.

The present invention relates to a rehabilitation system (10) for a patient (24) suffering from a damaged muscle and/or nerve, said system (10) comprising: a brain activity sensor (14) for measuring a patient's brain activity related to controlling the damaged muscle and/or nerve; a muscle sensor (18) for measuring a muscular activity of the damaged muscle and/or a neural activity of the damaged nerve; a display (22) for displaying a representation (34) of an affected body part of the patient (24); and a control unit (20) for determining an intended movement of the affected body part in which the damaged muscle and/or nerve is arranged, and for controlling the display (22) to display a representation (36) of the intended movement, wherein the control unit (20) is configured to determine the intended movement based on the patient's brain activity measured by the brain activity sensor (14) and based on the muscular and/or neural activity of the damaged muscle and/or nerve measured by the muscle sensor (18).

A system and method for improving reading ability simultaneously utilizing a distinctive protocol of multi-sensory learning and EEG biofeedback. The present invention more particularly relates to an EEG biofeedback system comprising a biofeedback apparatus in the form of a head-mountable device including an electrode array for measuring bioelectrical signals generated by a cerebral cortex of a user's brain and a computer device receiving and analyzing data collected by said biofeedback apparatus and providing audiovisual feedback to the user.

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

A system for measuring physiological parameters includes a housing mounted to an exterior body surface of a user. The system includes at least a sensor attached to the housing and contacting the exterior body surface at a locus on a head of the user, the at least a sensor configured to detect at least a physiological parameter and transmit an electrical signal as a result of the detection. The system includes an alert circuit communicatively coupled to the at least sensor, the alert circuit configured to receive at least a signal from the at least a sensor, generate an alarm as a function of the at least a signal, and to transmit the alarm to a user-signaling device communicatively coupled to the alert circuit.

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi-electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

The present invention relates to a neurofeedback system that comprises an electrode (2, 2, 2) for contacting skin (6) of a user (7) for measuring a biofeedback signal (9) of the user (7), a first signal processing unit (3) for determining a signal characteristic (11) of the measured biofeedback signal (9), wherein the signal characteristic (11) represents a neurofeedback, a second signal processing unit (4) for determining a biofeedback signal quality (12) of the measured biofeedback signal (9) by extracting a signal feature of the measured biofeedback signal (9) and calculating a probability of a measurement error for said signal feature, which probability represents the biofeedback signal quality (12), and a feedback unit (5) for providing feedback to the user, wherein the feedback comprises the neurofeedback and a feedback about the biofeedback signal quality (12). A further aspect of the invention relates to a method for supporting a behavior change of a person and a computer program for carrying out said method.

An electrode includes a core of beryllium copper alloy and a safe metal coating. In some embodiments, the beryllium copper alloy comprises more than three percent beryllium, less than three percent other metals and a remaining percent copper. In some embodiments, an apparatus includes a headband, and a first and second safe metal coated copper-beryllium alloy electrode. The headband is configured to fit snugly to a head of a subject in an orientation from behind a first ear, across a crown of the subject, to a position behind a second ear. The first electrode and second electrode are disposed in the headband to contact a head of the subject at a first position and a different second position, respectively, without gels. In various embodiments, the headband includes a chip to determine an analog signal and transmit data; and, a system includes the headband and a signal analyzing unit.