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.

There is provided a method of generating deep brain stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites in the brain of the subject. There is further provided a method of generating stimulation signals, the method comprising receiving a plurality of sensor signals from a corresponding plurality of sensors on or in a subject, and using the received sensor signals to generate a plurality of stimulation signals for application at a corresponding plurality of target sites on or in the subject using a model of the response of neurons in the subject to the stimulation signals that models neural tissue as a plurality of coupled populations of neurons.

Systems and methods for non-invasive and/or non-contact measurement of a subject's tremor in the context of therapeutic intervention is presented. The system includes a memory, a communications interface, a sensor to measure a signal associated with position or motion of an extremity of the subject, and a processor. The processor is configured to receive the signal from the sensor. The processor is further configured to communicate, via the communications interface, the signal, login credentials, and position or motion data to a remote server coupled to a remote electronic health record database. The remote server is configured to receive the signal from the sensor. The processor is configured to receive an analysis that quantified the severity of tremor.

This document discusses a computer-implemented method of calibration of an implantable neurostimulation device. The method includes sensing one or more symptoms of a neurological condition of a subject using a sensor external to the neurostimulation device; delivering neurostimulation to the subject using the neurostimulation device and adjusting neurostimulation parameters based on the sensed symptom; sensing one or more neural response signals resulting from the neurostimulation using a sensor of the neurostimulation device; correlating the sensed symptom with the one or more sensed neural response signals; determining a target neural response using the correlating; and recurrently adjusting the neurostimulation parameters according to a comparison of subsequently sensed neural response signals to the target neural response signal.

A device (100) for measuring ocular microtremor (OMT) of a patient's eye, comprises a light source (10) for illuminating a target area of the eye with a light beam. The device also comprises a detector (20) arranged to detect scattered light from the interaction of the light beam with the target area of the eye. The device further comprises a focusing lens (30) arranged to collect the scattered light for the detector, and a port in a wall of the device through which the light beam can exit the device and/or through which the scattered light can enter the device. The device is configured to stabilise and/or support the device on or against a patients head. A method of measuring microtremor of an eye is also provided.

Scalable, configurable, universal, complete spectrum sensor data analyzing machines are provided that make selected determinations from a complete spectrum of cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines utilize necessary resources and predetermined criteria in their making of selected cyber determinations. Analyzing machines utilize measure points in their accurate locating of selected analytically rich aspects, characteristics, or features of or from sensor observation-derived representations, analyzing machines assign appropriate informational representations to selected analytically rich aspects, characteristics, features, or measure points, which are stored in concise datasets where they can be utilized in real-time or thereafter by analyzing machines in their making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines are configurable for being utilized, in whole or part, as touchless user interfaces, 100% accurate, constantly performed cyberspace identity tests, or universal health metrics monitors.

An example method includes, determining, based on data received from a plurality of sensors that are each attached to a respective finger of a plurality of fingers of a hand of a patient, data that represents movements of one or more fingers of the plurality of fingers; and determining, based on the data that represents the movements of the one or more fingers, one or more objective indications of motor control of the patient.

The present invention is directed to a device and method for monitoring and assessment of movement disorder symptoms. The device and method disclosed herein are particularly amenable to remote monitoring of a subject's movement disorder symptoms. Briefly stated, in certain preferred embodiments of the present invention the movement disorder monitoring device accompanies a subject to a remote location where the device is used to record data relating to the severity of a subject's movement disorder symptoms over a period of time. This data is then subsequently used by physicians or other clinicians in optimizing and assessing treatment options directed at alleviating a subject's movement disorder symptoms. The method and device of the present invention can be used to monitor symptoms of a number of movement disorders including but not limited to dystonia, essential tremor, Huntington's disease, various ataxias, multiple sclerosis, psychogenic tremor, and Parkinson's disease.

A method and a system are described, for managing a mouth therapy in the Parkinson's disease, through the analysis of the motion status of patients, wherein the motion status can be in one of the following phases: OFF phase, wherein Parkinson's symptoms, such as rigidity, tremor and bradykinesia, emerge; ON phase wherein the symptoms markedly improve; DIS phase wherein involuntary movements emerge, called dyskinesias; as detectors of the symptoms the following parameters are used: voice analysis; face analysis; tremor analysis; movement analysis; levodopa and metabolite levels of monoamines in the sub-cutaneous interstitial liquid of the patients; an algorithm being provided, which provides to the patient the daily therapeutic scheme with its relates administration dosages and inter-times, computed by using the parameters as detectors.

A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.