This disclosure relates to a system and method to implement a performance test to help evaluate a patient's neurological and cognitive function. The performance test can be executed by the patient autonomously using a portable computing device, such as a tablet computer or smart phone. The portable computing device can be programmed to execute a set of modules configured to assess motor and cognitive performance, such as a manual function test module, a cognitive processing speed test module, and a movement assessment test module. The set of modules can also include a collection module to aggregate test data from the manual function test module, the cognitive processing speed test module, and the movement assessment test module.

A system for assessment of neurocognitive and neuromotor control performance, the system comprising a portable force plate configured to collect force plate data indicative of movement and postural control of a subject as the subject performs a task, a depth sensing device configured to, simultaneously with the collection of the force plate data, collect depth data of the subject as the subject performs the task, an interface board configured to, simultaneously with the collection of the force plate data and the collection of the depth data, generate stimuli to instruct the subject to perform a particular task and to generate interface board data indication of input received from the subject in response to the stimuli, and a computer-based controller configured to execute one or more neurocognitive and neuromotor control performance assessment program to analyze the force plate data, the depth data, and the interface board data.

The invention relates to a device for the determination and analysis of the motor skill and the oculomotor skill of a person (100), with a headset comprising at least the following components: a display unit (9) for displaying an image to the eyes of a person (100), when the headset is mounted on the head of the person (100); an optical sensor system (3, 4, 6) for estimating the position and shape of an object in three-dimensional space and for estimating the position of the head set in three dimensional space, wherein the optical sensor system (3, 4, 6) is arranged and designed for the detection and registration of the hands and fingers of the person (100); an eye-tracking module (8) that is configured to determine a point of gaze of the person (100) wearing the device. The invention furthermore relates to various methods for using the device.

A system for analysis of user gait and foot disorder intended to minimize risks ulceration and limb amputation associated with the uncontrolled increase of the foot temperature in persons with diabetes. This system comprises a motion, force and temperature sensors and a processing element configured to process motion algorithms, measure ground reaction force (GRF) and changes in foot temperature embedded in the footwear insoles in communication with a smartphone based analysis application using wireless radio interface. The analysis application processes data received from the footwear sensors, compares the results with set of criteria and rules, and if any of the predefined criteria is exceeded, provides alerts to the user and the remote medical supervisor. Additionally, the insoles may be equipped with a haptic actuators configured to determine the level of the user neuropathy by measuring vibration perception threshold (VPT) level.

A hand function testing device includes a base having a number of rigid wires protruding from a surface thereof, each rigid wire having a stationary bead affixed at a predetermined position along the rigid wire, a moving bead movably mounted on the rigid wire and movable along a working region of the rigid wire defined between a base-end of the rigid wire and the stationary bead, the moving bead being mounted on the rigid wire via reception of the rigid wire through a lumen in the moving bead, and at least one force sensing element for measuring a force input to the moving bead. A method of testing hand function includes using the hand function testing device to measure a force input to a moving bead as the moving bead is moved within a working region on the rigid wire.

An exercise rating and improvement system comprising: a feature amount extraction unit for extracting, from information obtained from a subject, a feature amount about exercise efficiency; an rating unit for rating exercise efficiency of the subject by comparing the extracted feature amount and a feature amount to be compared; and an improvement information providing unit for providing, on the basis of the rating result, information such that the feature amount of the subject approaches the feature amount to be compared.

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of associative activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and associative activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

An athlete wearing footwear measures jump heights with a motion sensor mounted on the footwear over toes of the athlete. By sensing vertical jump start motions the sensor detects jump start and finish times of −4 g start and −4 g landing. The sensor, a body wearable mems sensor developed by JAWKU, L.L.C., has a previously installed generic factory scale calibration factor. The athlete replaces this calibration factor with a new calibration scale factor selecting an “absolute” external reference device which measures jump height. This device measures several jump heights then inputted to an algorithm app in the sensor to calculate the new calibration scale factor customized to the actual athlete. The motion sensor has built in programming apps to periodically receive an upgraded factory scale calibration factor which upgrade is based on an ever increasing data pool of jump heights. The updated factory calibration factor is then again replaced by the athlete personally taking several new measured jumps which jump heights are in turn inputted to the sensor. The progress made in evolving jumping skills based on training and specific conditioning exercises can thus be motion sensor evaluated.

Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display, and/or data storage medium for further analysis, archiving, and data mining. In some embodiments, the device includes a cellular telephone.

A computer system provides patient monitoring and treatment using electronic textiles. Biometric data pertaining to a user is received that is obtained over time from an electronic textile device associated with a body of the user. The biometric data is analyzed to identify positions and movements of the body. The identified positions and movements are analyzed to generate a knowledge corpus for the user that maps one or more of: positions, movements, and portions of the body to a health condition of the user. A treatment plan is generated, based on the knowledge corpus, that indicates a relatedness between the health condition of the user and the one or more positions, movements, and portions of the body. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment in substantially the same manner described above.