Abstract: Systems and methods predict functional and cognitive recovery of a person after the person has experienced a brain injury such as traumatic brain injury, cerebrovascular disease, and stroke. A computer system includes a database that stores multimodal data of the person recovering from a brain injury and a computer that analyzes the multimodal data over multiple intervals that span several months of time. The computer executes longitudinal heterogeneous trajectory analysis on the multimodal data and executes separation of heterogeneous groups that include good recovery potential of the brain injury, moderate recovery potential of the brain injury, and poor recovery potential of the brain injury. Based on the longitudinal heterogeneous trajectory analysis and the separation of the heterogeneous groups, the computer predicts functional recovery of the person from the brain injury.

Abstract: A device and a method of manufacturing the device may be provided. The device (10) includes a support member (11); two or more electrodes (12) configured to obtain data, the two or more electrodes (12) being positioned on the support member (11); and one or more location identifiers (13) positioned on the support member (11), each of the one or more location identifiers (13) identifying a location to position one of the two or more electrodes (12) to obtain data corresponding to the one or more muscle groups of a body.

Abstract: The present disclosure relates to method and system for signal processing rehabilitation exercise signals. The method comprises the step of receiving a first and a second motion signals associated with movements of a body part, wherein the motion signals comprise temporal data of the movements. The method further comprises the step of segmenting each of the first and second motion signals into a plurality of segmented signals based on gradients of the motion signals, wherein each segmented signal has consistent gradient. The method further comprises the step of automatically modifying the segmented signals to form multiple combinations of matching signals with similar gradients between the first and second motion signals, such that the first and second motion signals are in one-to-one correspondence. The method further comprises the step of extracting corresponding time intervals of the matching signals in the correspondences.

Abstract: Systems and methods predict functional and cognitive recovery of a person after the person has experienced a brain injury such as traumatic brain injury, cerebrovascular disease, and stroke. A computer system includes a database that stores multimodal data of the person recovering from a brain injury and a computer that analyzes the multimodal data over multiple intervals that span several months of time. The computer executes longitudinal heterogeneous trajectory analysis on the multimodal data and executes separation of heterogeneous groups that include good recovery potential of the brain injury, moderate recovery potential of the brain injury, and poor recovery potential of the brain injury. Based on the longitudinal heterogeneous trajectory analysis and the separation of the heterogeneous groups, the computer predicts functional recovery of the person from the brain injury.

Abstract: A method and system for monitoring and determining progress of a patient's rehabilitative treatment are provided. The system includes a patient output device, a plurality of sensory devices and a processing means. The patient output device displays visual and/or presents auditory instructions to the patient. The plurality of sensory devices sense physiological performance and body portion movement while the patient moves two or more portions of the patient's body in response to the visual and/or auditory instructions. The processing means generates first data in response to the sensed movement of a first portion of the patient's body, generates second data in response to the sensed movement of a second portion of the patient's body, and determines an objective functional recovery level representing the patient's rehabilitative treatment progress in response to all of a manifested category, a latent category and a significant category of the first data and the second data.

Abstract: A method and system (301) for monitoring and determining progress of a patient's rehabilitative treatment are provided. The system (301) includes two or more sensing devices and a predictive patient recovery potential module. The two or more sensing devices include a first device for sensing physiological performance by the patient while moving a portion of the patient's body and generating a first signal in response thereto and a second device for sensing body portion movement by the patient while moving the portion of the patient's body and generating a second signal in response thereto. The predictive patient recovery potential module is coupled to the two or more sensing devices and includes a categorization module (510) and a functional performance recovery level module (514).