The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

A system for obtaining and analyzing data for overall joint motion from a plurality of joints of a subject experiencing a movement disorder involves a plurality of kinematic sensors configured to be placed on a body of a subject proximal a plurality of joints. The kinematic sensors are selected to measure overall joint motion with sufficient degrees of freedom for individual joints so that data collected by the sensors can be deconstructed into multiple degrees of freedom for individual joints and analyzed to provide amplitude of the movements caused by the movement disorder and/or relative contributions from and/or directional bias for each muscle group that may be implicated in the movement of each joint. The system permits determining a treatment regimen based on the amplitude of the movements and/or the relative contribution and/or directional bias of each muscle group to the movements caused by the movement disorder.

Techniques to help improve efficiency or effectiveness of treating a disorder such as RLS or PLMD, such as by issuing neural electrostimulations to a particular patient, while varying one or more amplitude parameters (e.g., at least one of electrostimulation current amplitude, electrostimulation voltage amplitude, or electrostimulation pulsewidth duration). A corresponding patient-subjective or patient-objective response can be observed. A characteristic electrostimulation intensity relationship can be generated, for example, based on the determined respective at least one of RLS or PLMD response indication threshold amplitude parameters and the plurality of corresponding neural electrostimulation durations. Once this characteristic electrostimulation intensity relationship has been generated, it can then be used to control issuing subsequent neural electrostimulations to the particular patient according to (1) at least one goal and (2) a variable operating point based upon the generated characteristic electrostimulation intensity relationship.

Disclosed herein is a gait analysis apparatus that is configured to provide multidimensional measures of the gait of an individual as the individual traverses the gait analysis apparatus. The gait analysis apparatus may be configured to provide a gait measuring processing device with the multidimensional measurements. Based on the multidimensional measurements, the gait measuring process device may, for example, diagnose the test subject with lameness or particular neuromuscular dysfunctions (NM) disease and/or injury, monitor progression of lameness or a particular NM disease and/or injury over time, determine a static weight as the test subject is traversing, monitor the static weight of the test subject over an extended period time, and/or determine which measurements may be used as biomarkers to identify lameness or the particular NM disease and/or injury. A system including a gait analysis apparatus is also disclosed.

A system for providing neuronal stimulation signals configured to elicit sensory percepts in the cortex of an individual, comprising means for obtaining spatial information relating to the actual or planned position of a neuronal stimulation means relative to afferent axon(s) targeting sensory neuron(s) in the cortex of the individual and means for determining a neuronal stimulation signal to be applied to the afferent axon(s) via the neuronal stimulation means based at least in part on the obtained spatial information.

A system for communicating conceptual information to an individual, comprising means for selecting a neuronal stimulation signal to be applied to afferent axon(s) targeting sensory neuron(s) in the cortex of the individual, wherein the neuronal stimulation signal corresponds to the conceptual information to be communicated and means for transmitting the neuronal stimulation signal to the neuronal stimulation means of the individual.

An information processing device includes: an acquirer configured to acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject; and a predictor configured to input the images acquired by the acquirer to a model trained on data in which information indicating at least a neurodegenerative disease is associated with the image obtained by imaging the cells of the neurodegenerative disease differentiated from the pluripotent stem cells, and predict an onset of the neurodegenerative disease of the subject or effects of drugs on the neurodegenerative disease, based on output results of the model to which the images were input.

A limb tracking biofeedback platform and rehabilitation therapy methodology for spasticity patients improves and maintains limb functionality permitting compliance monitoring, patient encouragement and biofeedback outside the presence of a therapist. The method includes defining a desired therapeutic limb motion, and a goal for repetitions of the therapeutic motion over a given period. The platform includes at least one sensor coupled to the patient's limb which is configured to track at least one of limb movement and orientation. Tracked movement and/or orientation data is transmitted to a platform controller which calculates a number of therapeutic movements of the patient's limb based upon the tracked movement and/or orientation data. Biofeedback to the patient is provided by displaying at least the number of therapeutic movements. Typically reminder prompts and positive reinforcement of goals achieved are also displayed to the patient. The therapist can also have access to the recorded data.

Systems and methods for generating a numerical model of the human head are provided. A numerical model may be created by generating a data array in a magnetic resonance modeling system, each cell of the array corresponding to a location in the head. The cells may be grouped into one or more regions, each group corresponding to a segment of the head. The cells of the array may be populated with values corresponding to tissue properties relevant to MR imaging. Tissue property values may be selected for each region based on one or more probability distributions. For each region and each tissue property, a value may be selected based on a corresponding probability distribution. Selected tissue property values may be input into cells in the array corresponding to the region with which the probability distribution is associated. The numerical model may be used as an input to an MRI simulator.

The present invention relates to an AI (Artificial Intelligence) based method for providing brain information comprising: a step 1 in which a brain signal obtaining portion of a brain signal measuring portion irradiates near-infrared ray to user's brain and detects light penetrating a cerebral cortex of the brain; a step 2 in which a brain signal processing portion of the brain signal measuring portion determines a level of oxygenation of hemoglobin in blood flow of the user's brain on the basis of the detected light; a step 3 in which a brain signal analyzing portion of the brain signal measuring portion extracts at least one brain activation area from a plurality of activated areas of the user's brain on the basis of the determined level of oxygenation of hemoglobin; and a step 4 in which a diagnosing portion determines a state of the user's brain on the basis of the at least one brain activation area extracted successively for a predetermined period of time, wherein a signal collecting operation of the brain signal obtaining portion in the step 1 is performed in a state that the user is moving.

An apparatus for simulating hand tremors caused by Essential Tremor and Parkinson's disease which may also be used as part of a therapeutic program in association with surgically implanted stem cells introduced into a patient's substantia nigra.