The disclosed embodiment provides an apparatus and method for measuring eye movement, that can accurately measure eye movement by determining the eye position at high speed and high resolution even with a low-cost camera by using a phase mask and rolling shutter method instead of a lens, and can perform early diagnosis of neurological diseases, etc. based on the measured eye movement.

Conventional multimodal bio-sensing demands multiple rigid sensors mounting on the multiple measuring sites at the designated place and during the reserved time. A soft, and conformal device utilizing MEMS accelerometer is a game changer to this tradition. It is suitable for use in a continuous, wearable mode of operation in recording mechano-acoustic signals originated from human physiological activities. The virtue of device, including the multiplex sensing capability, establishes new opportunity space that continuously records high fidelity signal on epidermis ranges from the subtle vibration of the skin on the order of ?5?10.sup.?3 m.Math.s.sup.?2 to the large inertia amplitude of the body ?20 m.Math.s.sup.?2, and from static gravity to audio band of 800 Hz. Minimal spatial and temporal constraints of the device that operates beyond the clinical environment would amplify the benefit of unusual mechanics of the electronics. Therefore, we develop system level, wireless flexible mechano-acoustic device to record multiple physiological information from a single location, suprasternal notch. From this unique location, the 3-axis accelerometer concurrently acquires locomotion, anatomic orientation, swallowing, respiration, cardiac activities, vocal fold vibration, and other mechano-acoustic signal that falls into bandwidth of the sensor capacity that are superposed to a single stream of data. The multiple streamlines of the algorithm parse this high density of information into meaningful physiological information. The recording continues for 48 hours. We also demonstrate the devices' capability in measuring essential vital signals (heart rate, respiration rate, energy intensity) as well as unconventional bio-markers (talking time, swallow counts, etc.) from the healthy normal in numerous field studies. We validate the results against gold standards and demonstrate clinical agreement and application in the clinical sleep studies.

A method of enhanced motor learning is provided. The method includes stimulating a cutaneous distribution of a patient's vagus nerve within the patient's ear with a nerve stimulating signal. The method also includes assisting the patient in performing a physical activity while the patient's vagus nerve is stimulated. The method further includes monitoring one or more statistics of the patient during the physical activity.

The present invention relates to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. In an embodiment of the present invention, an approach to the treatment of disorders that supplements existing diagnostic and treatment methods with robust quantitative data analysis are presented. This is achieved by a unification of cognitive and neural phenomena known as the Fundamental Code Unit (FCU), representing identifiable patterns of brain activity at the submolecular, molecular, and cellular levels (intra-brain communications), as well as their manifestations in thought and language (inter-brain communications).

The present disclosure provides methods for detecting hyperkinetic state by measuring brain activity of a patient suffering from a movement disorder. Also provided are methods for modulating therapy in patients suffering from a movement disorder. Aspects of the methods include measuring activity in brain of the patient and changing a treatment regimen if hyperkinetic state is detected. Also provided are devices, systems, and kits that may be used in practicing the subject methods.

A sensor may be configured to detect periodic limb movement in a sleeping person. The sensor may be a non-contact sensor, such as a radar motion sensor. The sensor may include a radio frequency transmitter for emitting radio frequency signals toward the person. The sensor may include a receiver for receiving reflected ones of the emitted radio frequency signals and processing the reflected ones of the emitted radio frequency signals to produce motion signal(s). A processor, such as one integrated with or coupled to the sensor, may evaluate the motion signals, such as in-phase and quadrature motion signals, and generate an indicator to identify occurrence of periodic limb movement in the motion signals based on the evaluation of the motion signals.

Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used by the user are described. The method may include detecting motion of a handle of the handheld tool manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool. Furthermore, the method may include storing the detected motion in a memory of the handheld tool as motion data. The method may also include controlling, based on the motion data, a motion-generating mechanism of the handheld tool that moves the attachment arm relative to the handle in a degree of freedom.

Markerless tracking systems and methods for markerless tracking of subjects. In one embodiment, the markerless tracking system includes an active 3D infrared camera, a memory, and an electronic processor. The electronic processor is configured to extract body motion data for a subject's body from depth data captured by the active 3D infrared camera. The electronic processor is also configured to detect movements of the subject's body using the body motion data. The electronic processor is further configured to determine attributes for the movements of the subject's body using the body motion data. The electronic processor is also configured to assign a rating by comparing the determined attributes with a plurality of benchmarks included in a pre-stored movement profile in the memory. The electronic processor is further configured to create a session record for the subject. The session record includes the body motion data, the determined attributes, and the assigned rating.

An integrated device that detects and stores, in digital form, the muscle movements that occur when an operator traces a defined figure or pattern with a pointing device, such as a laser beam. The movement data is stored and analyzed for monitoring and diagnosing a neuromuscular condition or neuromuscular variations. Movement disorders can be determined and progression and change analyzed over time using the stored data.

Devices, systems and methods for increasing the efficacy and/or efficiency of deep brain stimulation (DBS) using parameters of stimulation that are custom tailored to a unique set of one or more symptoms and/or to a specific patient is shown and described herein. Also disclosed are devices, systems and methods for recording pertinent neural activity during non-regular patterns of stimulation and processing techniques for these recorded signals and stimulation parameter optimization based on these neural recordings may be used to tune computational models of the stimulation patterns to reproduce the observed neural activity.