Patent classifications
A61B5/4082
System and method to facilitate analysis of brain injuries and disorders
In an example embodiment, this disclosure provides a computer system that includes a processor configured to compute, based on test performance data of a user, at least one performance variable characterizing balance and postural stability, and at least one performance variable characterizing vestibulo-ocular reflex (VOR). For each performance variable, processor can compute a respective score based on the respective performance variable and based on a set of performance metrics. The at least one computed score can be output via an output device.
System and Method for Motion Capture
A motion capture system includes a wearable device (e.g. a glove) suitable for being worn by a user and including one or more markers having respective colors. A video camera acquires a sequence of color frames of the user moving while wearing the glove, while a range camera acquires corresponding depth frames of the same scene. A processing unit processes both color frames and depth frames for reconstructing the 3D positions of the markers. In particular, the depth information provided by the depth frames are used for isolating a validity area within the color frames, and the markers are searched based on their colors, exclusively within the validity area of the color frames. The movements of the user are then captured as a sequence of positions of the markers. Combined use of color information and depth information provide a very reliable and accurate motion capture.
Detecting neurochemical or electrical signals within brain tissue
This document relates to methods and materials involved in detecting neurochemical signals, electrophysiological signals, ions, or combinations thereof with brain tissue. For example, methods and materials for using probes to detect neurochemical signals (e.g., neurotransmitter concentrations), electrical signals, or combinations thereof during deep brain stimulation are provided.
Method and System for Assessing Motion Symptoms
A state of progression in an individual of a disease or treatment having motion symptoms is determined. A time series of accelerometer data is obtained from an accelerometer worn on an extremity of the person, over an extended period during everyday activities of the person. The accelerometer data is processed to produce a plurality of measures of kinetic state of the individual at a respective plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia, and a measure for dyskinesia. A measure of dispersion of the measures of kinetic state is determined. An output is generated, indicating that motion symptoms are at an initial stage if the measure of dispersion is less than a threshold, or indicating that motion symptoms are at an advanced stage if the measure of dispersion is greater than the threshold.
SYSTEMS AND METHODS FOR DETECTING TREMORS
In one embodiment, a system for detecting tremors includes a contactless tremor detector, the detector including an oscillator circuit having a sensing coil, an oscillator configured to generate alternating electromagnetic fields, and a frequency counter configured to sense the resonant frequency of the oscillator circuit as the resonant frequency changes in response to movement of a body part of an individual adjacent to the sensing coil, wherein the system is configured to determine a frequency of movement of the body part from the sensed resonant frequency for the purpose of determining if the individual is experiencing tremors.
ROI Setting Technique for Imaging Test of Living Body
In imaging analysis of a living body, a Region Of Interest (ROI) is set on the basis of the state of radiopharmaceutical accumulation. An example for setting an ROI includes: performing first transformation for anatomically standardizing, with the use of a positive template, a nuclear medicine image acquired by applying a radiopharmaceutical to a subject; performing second transformation for anatomically standardizing, with the use of a negative template, the nuclear medicine image; calculating a degree of similarity between a first anatomical standardization image acquired by the first transformation and the positive template; calculating a degree of similarity between a second anatomical standardization image acquired by the second transformation and the negative template; and applying, to an ROI template, inverse transformation of the first transformation or the second transformation, whichever has the higher of the calculated degrees of similarity, in order to set the ROI.
Methods, systems and computer readable storage media storing instructions for imaging and determining information associated with regions of the brain
Methods, systems and computer-readable storage mediums relate to imaging techniques of a region, for example, the brain, with magnetization transfer contrast (MTC) effects with less specific absorption rate (SAR). The methods, systems and computer-readable storage mediums may include acquiring MR image data from at least one magnetic resonance (MR) scan that includes a pre-pulse signal and a pulse sequence. The pre-pulse signal may be less than 500, e.g., from about 150 to 425, and the pulse-sequence may be a gradient echo based sequence. The methods, systems and computer-readable storage mediums may include generating information associated with an image of at least one region of a subject. The information may include quantitative or qualitative information of a region of a brain. The quantitative information may include volume information, contrast to noise ratio information, number of voxels, as well as other information.
METHODS FOR TREATING RELAPSING FORMS OF MULTIPLE SCLEROSIS
Disclosed herein are anti-RGMa antibodies and methods of using these antibodies to treat multiple sclerosis, including relapsing forms of multiple sclerosis such as relapsing-remitting multiple sclerosis or relapsing-secondary progressive multiple sclerosis.
Collecting gait information for evaluation and control of therapy
A medical device delivers a therapy to a patient. The medical device or another device may periodically determine an activity level or gait parameter of the patient, and associate each determined level or parameter with a current therapy parameter set. A value of at least one activity metric is determined for each of a plurality of therapy parameter sets based on the activity levels or parameters associated with that therapy parameter set. Whether the patient is currently experiencing or anticipated to experience gait freeze caused by their neurological disorder, such as Parkinson's disease, may also be determined. Gait freeze events may be associated with current therapy parameters and used to determine activity metric values. In some examples, the activity metric associated with certain therapy parameters may be presented to a user.
DETECTION AND EVALUATION OF USER GRIP WITH A HANDHELD TOOL
Techniques and mechanisms for detecting and evaluating grip by a user operating a handheld tool. In an embodiment, the tool includes a handle, one or more pressure sensors disposed in or on the handle, and an attachment arm. An output from the one or more sensors is generated while a user-assistive device is coupled to a distal end of an attachment arm of the tool. Logic of the tool calculates a grip metric based on the sensor output, and the tool transmits, based on the grip metric, a signal including medical diagnostic information. In another embodiment, the user-assistive device includes a utensil attachment or a personal hygiene attachment.