A gait monitoring and stimulation device utilizing multiple sensors for actively monitoring for gait freezing events and utilizing multiple types of gait stimulation cues or modes in response to the detection of a gait freezing event experienced by a user. The gait monitoring and stimulation device utilizes global positioning system geographic data, accelerometer data, and audio data to determine whether a gait freezing event is likely being experienced by a user. A laser device used in conjunction with a lens having a diffractive optical element, is utilized to project a visual cue comprising the image of a descending staircase onto the ground in front of the user of the device. Auditory stimulation cues are also provided. One or more accelerometers monitor the orientation of the device, deactivating the laser if the device orientation exceeds a threshold angle likely to lead to eye damage caused by the laser.

A technique for measuring and collecting human tremor data includes measuring motions of a handheld tool manipulated by a user while performing a task with the handheld tool. The motions are measured using an inertial measurement unit (IMU) disposed within a handle of the handheld tool. Motion data of the motions is recorded to a motion log stored within a memory unit of the handheld tool. The motion data contains information for determining a severity of tremors that occurred while the user performed the task with the handheld tool. The motion log is communicated to a remote server for analysis.

A system for treating a patient with neurological disorders of movement includes a patient computing device for use in rehabilitative training and a sensor worn about a body part being rehabilitated. A healthcare computing device is used by a healthcare professional to assist remote patient rehabilitation by accepting input signals and determining for the patient a rehab protocol depending on selected parameters, and determining for the patient a behavior shaping target depending on selected parameters and the rehab protocol and behavior shaping target is communicated to the patient while the patient is undergoing rehabilitation. A plurality of remote health data sites and other public repositories of health data of patients undergoing rehabilitation following neurological events can be included. The remote computing device can include a data repository of publicly available patient data and patient data gathered by system of present invention.

Devices, systems, and methods herein relate to processing biosignal data. These systems and methods may obtain sensor data from a plurality of electrodes and may also be used to augment cortical function, treat neurological disease, and provide insight and analysis of biological processes and/or clinical therapeutic outcomes. An implantable biosignal processing system may comprise a lead having at least one biosignal sensor configured to transmit biosignal data based on electrophysiological activity of a subject. A first processing system may be coupled to the biosignal sensor and comprise a plurality of analog signal processing circuits configured to be selectively powered based on a selectable treatment mode. A second processing system in communication with the first processing system and may comprise a plurality of digital signal processing circuits configured to be selectively powered based on the treatment mode. A neurostimulator may stimulate tissue according to the set of biosignal characteristics.

A system including two or more wearable devices includes at least one sensor in each device to detect signals related to the body of a wearer. User inputs, sensor outputs, or other information are used to determine an activity being performed or otherwise engaged in by the wearer and footsteps, heartbeats, discrete turns of the torso, or other events can be detected, from one or more of the sensor outputs, during a period of time that the user is engaged in the activity. A duration, amplitude, timing, mean value, or other characteristic of each such detected event can be determined, based on the sensor outputs, and used to generate a sample of clinically relevant information about the wearer. This information can then be used to determine the presence, stage, degree, progression, or other information about a disease state of the wearer or some other information about the wearer's body.

Unimaginable are the difficulties faced by patients affected by sensory-motor disabilities while executing day to day activities. The flamboyant progress that has made in other areas of medical science does not translate itself in diagnosing them. Early detection and personalized therapy of these disorders is still out of reach. Present disclosure provides systems and methods for optimizing a joint cost function and detecting neuro muscular profiles (e.g., state of user under observation) thereof by implementing a model that quantifies these disorders in terms of a cost functional, which captures the trade-off between the torques applied and the velocities experienced at the joints. Estimation of this cost functional, otherwise known as Inverse optimal control was then carried out using an optimization procedure. To validate ability of estimated cost functional to distinguish weakly distinct neuro-motor conditions, Microsoft Kinect? motion capture data from normal subjects and a patient population with mild sensory-motor disabilities.

In one example, a system for measuring body movement in a movement disorder disease is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.

A system and methods of diagnosing and monitoring neurological disorders in a patient utilizing an artificial intelligence based system. The system may comprise a plurality of sensors, a collection of trained machine learning based diagnostic and monitoring tools, and an output device. The plurality of sensors may collect data relevant to neurological disorders. The trained diagnostic tool will learn to use the sensor data to assign risk assessments for various neurological disorders. The trained monitoring tool will track the development of a disorder over time and may be used to recommend or modify the administration of relevant treatments. The goal of the system is to render an accurate evaluation of the presence and severity of neurological disorders in a patient without requiring input from an expertly trained neurologist.

A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.

Methods, systems, and devices are disclosed for evaluating vulnerability, disease progression, and treatments in neuropathologies. In one aspect, a method to provide an assessment related to a neurological or neuropsychiatric disorder includes selecting a profile category indicative of one or more aspects of cognitive or sensory functions associated with a neurological or neuropsychiatric disorder, presenting a sequence of stimuli to a subject, in which the sequence of stimuli is based on the selected profile category, acquiring physiological signals of the subject before, during, and after the presenting of the sequence of stimuli to produce physiological data, and processing the physiological data to generate an information set including one or more quantitative values associated with the selected profile category.