The invention generally relates to motion analysis systems and methods of use thereof. In certain aspects, the system includes an image capture device, at least one accelerometer, and a central processing unit (CPU) with storage coupled thereto for storing instructions that when executed by the CPU cause the CPU to receive a first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task and receive a second set of motion data from the accelerometer related to the at least one joint of the subject while the subject is performing the task. The CPU also calculates kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data, and outputs the kinematic and/or kinetic information for purposes of assessing a movement disorder.

Disclosed is a monitoring and treatment support system to monitor motion symptoms of tremor, bradykinesia and/or dyskinesia. A system and method are also provided for early detection of movement disorders. Further, a system and method are provided which can accurately quantify symptoms utilizing at least one measuring device at a scheduled time as arranged by medical professionals. The timer in the digital diary will remind the elderly to take medications and/or to perform motion tests. A system and method are also provided which can compute an overall motor performance score using weighting algorithm according to the results of tremor test, finger tapping test and/or spiral drawing test. The overall motor performance score is presented using comprehensive figures to both medical professionals and the elderly as a summary report for their review. The severity of movement disorders presented in graphs is compared with the treatment plan for analysis.

Provided herein are methods and apparatuses for determining a level of cellular metabolic activity for a region of interest in order to detect and map on-going gliovascular unit metabolic activity using high-resolution .sup.1H.sub.2O MRI. In one example approach, a computer-implemented method includes receiving a first set of DCE-MRI time-course data for a region, wherein a contrast agent is administered prior to imaging, identifying a region of interest from the first set of DCE-MRI time-course data for further analysis, performing shutter-speed pharmacokinetic analysis of the time-course data associated with the region of interest using computer-implemented software to obtain a finite and non-zero mean water molecule capillary lifetime in the region of interest, and indicating a level of cellular metabolic activity in the brain based on the mean water molecule capillary lifetime.

The present invention relates to a method of gait measurement using tri-axial accelerometer/gyro in mobile devices. In particular, the present invention relates to algorithms for gait measurement using tri-axial accelerometer/gyro in mobile devices for monitoring and improving the physical movement of a moving subject.

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

The present invention has an objective of evaluating a motor function of a subject with a neurodegenerative disease with high accuracy using a motor function analysis system that utilizes a wrist joint movement of the subject. The motor function analysis system includes: a display unit for displaying image information including a moving target image and a cursor image for tracking the target image; a moving unit used by the subject to move the cursor image; and an analyzer for detecting the tracking status of the target image tracked by the cursor image and analyzing the frequency of the movement components contained in the tracking status.

Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an early potential indication of onset of Parkinson's disease. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about motor skill development of a child. Technology for use with a touchscreen user interface device that uses gesture swipe data to provide an information about reading ability development of a child.

Disclosed herein is a novel apparatus and the uses thereof in the prophylaxis and/or treatment of neuropsychiatric disorders. The present apparatus comprises a detecting means, a stimulation means, a virtual reality means and a processor. According to some embodiments of the present disclosure, the present apparatus produces an additive or synergistic effect on the treatment of neuropsychiatric disorders.

Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are methods for treating diseases associated with amyloid or amyloid like proteins.

Methods and systems for obtaining kinematic data from a subject for neuromotor assessment are presented herein. The method comprises presenting on a mobile computing device at least two of: a handwriting task, a speech task, and a natural movement task, each task executable by the subject with the mobile computing device, providing an external stimulus through the mobile computing device as a trigger to begin each task and acquiring kinematic data from the subject on the mobile computing device as the tasks are being performed. The acquired kinematic data may be stored locally, processed locally, and/or stored and transmitted remotely for processing.