A motor performance evaluation apparatus 100 for evaluating motor performance of a subject, including: an acquisition unit 131 configured to acquire drawing stroke information including position information and time information on drawing stroke of the subject copying a predetermined single-stroke drawn figure; a detection unit 132 configured to detect a fall count indicating the number of times a drawing acceleration of the subject changes from a positive value to a negative value, based on the drawing stroke information; and an evaluation unit 133 configured to evaluate the motor performance of the subject, based on the fall count.

The present invention provides objective methods of diagnosis and behavioral treatments of neurological disorders such as autism spectral disorders and Parkinson's disease.

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 handheld system includes a motion-generating mechanism having a first motor mounted to a housing to generate a first rotary motion and a second motor coupled to a first output of the first motor such that the first rotary motion imparts to the second motor and rotates the second motor within the housing. The second motor generates a second rotary motion. An attachment arm extends out of the housing and has a first end coupled to a second output of the second motor and a second end configured to attach a user assistive device. A motion sensor senses a motion of the handheld system and generates a signal in response. A control system is coupled to receive the signal and to control the first and second rotary motions with commands generated based at least in part upon the signal. The commands direct the motion-generating mechanism to stabilize unintentional muscle movements.

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.

Therapy delivery to a patient may be controlled based on a determined sleep stage of the patient. In examples, the sleep stage may be determined based on a frequency characteristic of a biosignal indicative of brain activity of the patient. A frequency characteristic may include, for example, a power level within one or more frequency bands of the biosignal, a ratio of the power level in two or more frequency bands, or a pattern in the power level of one or more frequency bands over time. A therapy program may be selected or modified based on the sleep stage determination. Therapy may be delivered during the sleep stage according to the selected or modified therapy program. In some examples, therapy delivery may be controlled after making separate determinations of a sleep stage based on the biosignal and another physiological parameter, and confirming that the sleep stage determinations are consistent.

An apparatus, system and process for measuring, tracking, and analyzing unintentional muscle movements associated with upper body freezing of a user while using a handheld tool are described. The method may include receiving signals from a motion sensor of a handheld tool, the signals indicating motions of the handheld tool when used by a user during an activity. The method may also include analyzing the motions of the handheld tool. The method may also include detecting motions of the handheld tool having one or more predetermined characteristics. Furthermore, the method can include determining that the user experienced an upper extremity freezing while using the handheld tool during the activity based on the detected one or more predetermined characteristics.

Techniques and methods for evaluating an instance of a pre-defined task being performed by a user with a handheld tool. In an embodiment, measurement information is stored to a log based on sensor data generated during motion of the handheld tool. Based on a definition of a task and the logged measurement information, a determination is made as to whether the sensed motion corresponds to a performance of at least some action of the defined task. In another embodiment, the definition of the task includes or otherwise corresponds to criteria information. The performance of the task is evaluated based on the criteria information to detect bradykinesia or some other unintentional muscle performance of the user.

The present invention relates to methods for remotely and intelligently tuning movement disorder of therapy systems. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely and intelligently or automatically tuning a therapy device using objective quantified movement disorder symptom data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning intelligently, automatically and remotely, allowing for home monitoring of subjects.

Disclosed is a portable monitoring module and a monitoring method utilizing the module for monitoring a plurality of electrical biosignals of a person. The module includes a measurement for measuring an electrical biosignal from the at least two electrodes, a wireless communication unit, and a processing unit. The processing unit selects a biosignal type to be monitored from a list of types supported by the monitoring module, store samples of biosignal data generated by the measurement unit, detect an indicator pattern within the biosignal data, wherein the indicator pattern represents an indication of a possible event of the selected biosignal type, and send a set of biosignal data wirelessly to a validation system. The set of biosignal data represents a sequence of samples of biosignal data related to the detected indicator pattern, and the validation system confirms the presence of the event in the received set of biosignal data.