Neurodegeneration can be assessed based on a gait signature, using a machine-learning model trained on gait metrics acquired for a patient, in conjunction with cognitive test data and neuropathology information about the patient. The gait signature can be derived from gait kinematic data, e.g., as obtained with a video-based, marker-less motion capture system.

Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.

Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.

A multimodal wearable band uses mechanical vibrations to stimulate sensory neurons in the wrist or ankle to reduce the severity of tremors, rigidity, involuntary muscle contractions, and bradykinesia caused by neurological movement disorders and to free users from freezing induced by movement disorders. The device uses sensors to provide output used by a processing unit to determine a stimulation pattern for the user and to determine when stimulation is necessary, and then uses one or more transducers to correspondingly stimulate the user's neurological pathways to lessen the severity of the user's symptoms. The device can also be adapted to integrate with third party devices.

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

A system and method for targeted treatment of human brain function using a combination of physical and mental activity to cause neurogenesis and neuroplasticity in targeted regions of the brain using computer-enhanced dual-task analysis and treatment. The system and method involve having a subject engage in physical and mental activities at levels of intensity or stress associated with increased neurogenesis and neuroplasticity, the mental activities being associated with certain brain regions intended to be targeted by the treatment, wherein the physical and mental activities are assigned based on dual-task analyses of the subject's brain function and machine learning algorithms trained to optimize the stress levels associated with the physical and mental activities to maximize neurogenesis and neuroplasticity. The physical and mental activities may be continuously adjusted to ensure that the subject remains in appropriate ranges for neurogenesis and neuroplasticity for the brain region or regions being targeted for treatment.

A method comprising to analyze the captured video data of the patient's body parts and to generate patient motion metrics, patient posture metrics, and patient gait metrics for each exercise routine completed by the patient based on the analyzed video data; store, in a database, the generated patient motion metrics, the patient posture metrics and the patient gait metrics for each of the completed exercise routines, wherein the generated patient motion metrics, the generated patient posture metrics and the generated patient gait metrics are used to track patient progress during physical therapy sessions, diagnose movement disorders, and provide personalized, data-driven treatment plans to enhance immediate outcomes and long-term recovery with respect to the musculoskeletal and neurological disorders; apply motion amplification algorithms to enhance the additional video data to provide clarity of tremor movements; apply edge detection to enhance tremor movement boundaries and detection; generate tremor amplitude measurements and tremor frequency measurements based on the motion amplification and edge detection algorithms; and store, in the database, the generated tremor amplitude measurements and tremor frequency measurements, wherein the generated tremor amplitude measurements and tremor frequency measurements are analyzed for diagnosis and monitoring of disorders such as Parkinson's disease and Essential Tremor.

The present disclosure relates to a method and a system for detecting a neurological disease and an eye gaze-pattern abnormality related to the neurological disease of a user. The method comprises displaying stimulus videos on a screen of an electronic device and simultaneously filming with a camera of the electronic device to generate a video of the user's face for each one of the stimulus videos, each one of the stimulus videos corresponding to a task. The method further comprises providing a machine learning model for gaze predictions, generating the gaze predictions for each video frame of the recorded video, and determining features for each task to detect the neurological disease using a pre-trained machine learning model.

System and methods for performing a motor skills neurological test using augmented reality which provides an objective assessment of the results of the test. A virtual target is displayed to a user in an AR field of view of an AR system at a target location. The movement of a body part (e.g., a finger) of a user is tracked as the user moves the body part from a starting location to the target location. A total traveled distance of the body part in moving from the starting location to the target location is determined based on the tracking. A linear distance between the starting location and the target location is determined. An efficiency index is then determined which represents an overall quality of movement of the body part from the starting location to the target location based on the total traveled distance and the linear distance.

A system and method for clinical disorder assessment are disclosed. The method and the medical assessment system using the method include: obtaining sensor data indicative of movement of a user; generating a movement dataset by reducing dimensions of the sensor data; generating a plurality of submovement datasets based on the movement dataset; extracting a movement feature from a first subset of the plurality of submovement datasets; analyzing the movement feature from the first subset of the plurality of submovement datasets to a reference to determine a potential clinical disorder of the user; and generating a report that includes an indication and severity of the potential clinical disorder of the user. Other aspects, embodiments, and features are also claimed and described.