This disclosure relates to a system and method to analyze balance and stability of a patient. Test data for the patient, representing motion of a device affixed to the patient during a test interval (e.g., at a position approximating the center of mass, such as in proximity to the torso), can be received. The test data can be processed to provide processed data (or sensor-derived data) that includes at least one of acceleration data, rotational rate data and rotational position data for the test interval. A biomechanical model can be applied to the processed data to provide center of mass (COM) motion data representing movement of the COM in multiple dimensions for the patient during the test interval. An indication of balance for the patient can be determined based on the COM motion data. The indication of balance can be used to analyze the balance and stability of the patient.

Walker including a frame, a movement enabling system on the frame that enables the frame to be moved along a surface, and a cueing system that generates audio and/or visual cues to enable a user of the walker to be guided in their forward movement of the walker. The cueing system includes a control unit that generates signals based on stored content relating to cue generation, at least one cue generator that generates the audio and/or visual cues based on the signals generated by the control unit, and a communications module coupled to the control unit and that receives via at least one communications frequency transmissions to set or modify the stored content. The control unit sets or modifies the stored content based on the transmissions received by the communications module.

Systems and methods combine virtual reality (VR), eye-tracking (ET), and motion sensors on limbs such as hands and feet to evaluate the changes of cognitive and motor abilities in both healthy and non-healthy persons using well-defined exercises. The application of VR and ET in cognitive exercises with motion sensors can improve the efficacy of the intervention and the ability to quantify cognitive and motor capabilities, enhancing the effectiveness of the training on a person.

A system and method are disclosed including receiving, from a sensor, motion data captured from a human, the motion data representative of involuntary human motions. In one embodiment, the method includes storing, in a memory, the motion data captured from the human. In one embodiment, the method includes processing the motion data captured by the human to determine a cycle bandwidth of the involuntary human motions across the motion data. In one embodiment, the method includes outputting the cycle bandwidth of the involuntary human motions across the motion data.

Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events. In some embodiments, a method may include: recording a first plurality of electrophysiological signals from a first plurality of probes inserted into the left hemisphere of the brain; recording a second plurality of electrophysiological signals from a second plurality of probes inserted into the right hemisphere of the brain; pre-processing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; bipolar re-referencing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; determining an optimal pair of electrophysiological signals from the bipolar re-referenced first plurality of electrophysiological signals and the bipolar re-referenced second plurality of electrophysiological signals; matching the optimal pair of electrophysiological signals with a template; and detecting motor events from the matching.

The present disclosure provides methods for diagnosing and determining the disease progression of neurodegenerative disorders in patients using neurophysiological biomarkers.

Objects of interest which project beyond the fovea are poorly resolved and lack color information, requiring movement of the eyes in order to obtain a comprehensive image and perception of the surrounding world. Eye movements emanate from different areas of the brain which can be affected by disease and or injury. As such, different neurological disorders will affect a myriad of eye movements in a variety of different ways. An automated system and method, capable of detecting, analyzing and summarizing a person's eye movements is used to detect (diagnose) (either before or after symptoms of said neurological disease are apparent), confirm a prior diagnosis, and/or to monitor the treatment effectiveness for a variety of neurological diseases, neurological movement disorders and potential brain injuries. The analyzed and summarized eye movements are cataloged, interpreted and utilized in a diagnostic matrix in order to highlight and distinguish abnormal eye movements, and to provide an objective clinical or pre-clinical/pre-symptomatic diagnosis based on the non-invasive testing procedures.

This disclosure relates to a device to mechanically and electrically connect with a touch screen computing device, such as a tablet computer. The device can include a platform that can be moved into and out of physical contact with a surface of a touch screen. During engagement with the surface, the moveable platform electrically interacts with the touch screen (e.g., via capacitive coupling) to enable detection by the touch screen of contact members (e.g., pegs) even in the absence of user contact with the pegs.

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

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.