A system and method for rehabilitation and recovery using adaptive surface electromyographic sensing and visualization is disclosed. The system uses surface electromyography (sEMG) sensors to identify signals of intent from patients with physical disabilities and then uses these signals to interact with a computer system designed to create repetitive practice in a manner that promotes neurological recovery. A machine teaming module analyses body signals picked up during patient movement attempts and converts these body signals to a visual representation of the intended movement by way of a virtual body or virtual body part displayed on a computer display, display glasses, or the like. The system thus allows for very early patient therapy, providing early benefits to rehabilitation therapy not heretofore possible. The virtual reality or augmented reality environment provides a patient with very early visual reinforcement of beneficial muscle activation patterns.

A wearable EEG monitor for continuously monitoring the EEG of a user through capacitive coupling to an ear canal of a user includes an ear insert (1) for positioning within the human ear canal, having at least two capacitive electrodes (16) for recording a signal. The electrodes are coated with a dielectricum for electrical insulation. The electrodes are connected to an amplifier (17). The amplifier has an input impedance matched to the impedance of the electrodes. The invention further provides a method of monitoring brain waves.

A wearable EEG monitor for continuously monitoring the EEG of a user through capacitive coupling to an ear canal of a user includes an ear insert (1) for positioning within the human ear canal, having at least two capacitive electrodes (16) for recording a signal. The electrodes are coated with a dielectricum for electrical insulation. The electrodes are connected to an amplifier (17). The amplifier has an input impedance matched to the impedance of the electrodes. The invention further provides a method of monitoring brain waves.

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

A method, including receiving a bipolar signal from a pair of electrodes in proximity to a myocardium of a human subject, and receiving a unipolar signal from a selected one of the pair of electrodes. The method further includes delineating a window of interest (WOI) for the unipolar and bipolar signals, within the WOI computing local unipolar minimum derivatives of the unipolar signal, and times of occurrence of the local unipolar minimum derivatives, and within the WOI computing bipolar derivatives of the bipolar signal at the times of occurrence. The method also includes evaluating ratios of the bipolar derivatives to the local unipolar minimum derivatives, and when the ratios are greater than a preset threshold ratio value, assigning the times of occurrence as times of activation of the myocardium, counting a number of the times of activation; and classifying the unipolar signal according to the number.

A method, including receiving a bipolar signal from a pair of electrodes in proximity to a myocardium of a human subject, and receiving a unipolar signal from a selected one of the pair of electrodes. The method further includes delineating a window of interest (WOI) for the unipolar and bipolar signals, within the WOI computing local unipolar minimum derivatives of the unipolar signal, and times of occurrence of the local unipolar minimum derivatives, and within the WOI computing bipolar derivatives of the bipolar signal at the times of occurrence. The method also includes evaluating ratios of the bipolar derivatives to the local unipolar minimum derivatives, and when the ratios are greater than a preset threshold ratio value, assigning the times of occurrence as times of activation of the myocardium, counting a number of the times of activation; and classifying the unipolar signal according to the number.

The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

A method includes, in a processor, receiving example representations of geometrical shapes of a given type of organ. In a training phase, a neural network model is trained using the example representations. In a modeling phase, the trained neural network model is applied to a set of location measurements acquired in an organ of the given type, to produce a three-dimensional model of the organ.