The present disclosure relates to a computer-implemented method for monitoring hand movements of a writing instrument's user, comprising: providing an electromyography sensor on the user's wrist or hand; monitoring hand movements of the user during a writing session with the writing instrument by reading sensors of the writing instrument; monitoring hand muscle activity of the user during the writing session by reading the electromyography sensor; correlating hand motion data and hand muscle data obtained from the monitoring; evaluating the correlated data and classifying the hand movements as normal or abnormal based on at least one of tremor parameters, hypokinetic parameters, and historical data of the user; and providing an indication in case of an abnormal evaluation.

The present disclosure relates to measuring recovery of a finger skin temperature of a writing instrument's user, comprising: measuring a first finger skin temperature of a user's finger contacting a grip area of the writing instrument during a writing session with the writing instrument; cooling the finger contacting the grip area with a cooling element and for a cooling duration; measuring a second finger skin temperature after lapse of the cooling duration; calculating the skin temperature reduction; measuring a series of finger temperature measurements after lapse of the cooling duration; calculating a temperature recovery rate based on the series of finger temperature measurements; comparing the skin temperature reduction and the temperature recovery rate to historical data and/or reference data; and providing an indication to the user in case that the skin temperature reduction and/or the temperature recovery rate are abnormal as compared to the historical data and/or reference data.

Embodiments of the present systems and methods may relate to a non-invasive system with diagnostic and treatment capacities that use a unified code that is intrinsic to physiological brain function. For example, in an embodiment, a computer-implemented method for affecting living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing release of photons from mitochondria of the living neural tissue, computing at least one signal to effect alterations to the living neural tissue based on the received input signal, the computed signal adapted to cause transmission of photons to the living neural tissue, and delivering the photons to the living neural tissue to effect alterations to the living tissue.

A device for capturing and concentrating volatile organic compounds (VOCs) in a sample of breath air. The device includes an intake for accepting an air sample; a disposable mouth piece; a sensor array for measuring physical parameters of the air sample; an exhaled air sampler for capturing a pre-determined volume of air; a concentrator for concentrating VOCs in the air sample; and an ionic liquid collector, the latter of which may be removed from the device. The ionic liquid collector, which may have one compartment or multiple compartments, includes at least one ionic liquid. Analysis of VOCs in the ionic liquid or liquids may identify biomarkers that can provide a medical diagnosis for a human patient based on a sample of breath air.

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

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.

A neural event process, including receiving a neural response signal, decomposing the signal using at least one wavelet, differentiating phase data of the wavelets and the response signal to determine maxima and minima of the phase data and the signal, and processing the maxima and minima to determine peaks representing neural events.

Described herein is the use HP xenon-129 MRI to measure xenon signal changes in the brain tissue over a period to quantitatively evaluate the condition of cerebral blood flow in an individual.

A vehicle anti-vibration device includes a vibration sensor programmed to detect vibrations and output a vibration signal representing the vibrations detected. The device further includes a motor that vibrates in accordance with a vibration dampening signal, a communication interface programmed to wirelessly transmit the vibration signal to a remote device, and a processor programmed to process the vibration signal and generate the vibration dampening signal to dampen the vibrations detected.

A client device is configured with a test administration application for conducting self-administered tests. A user interface of the test administration application includes motion restriction regions configured to prevent select types of body motion during particular segments of self-administered tests, and testing regions configured to receive a touch input performed by a specific digit of the user. For example, a touch input involves touching, holding, or tapping a single digit within the bounds of a testing region in accordance with instructions provided by the test administration application. The test administration module records motion data comprising one or more touch events, each touch event describing a touch input performed by the user. Undesired touch inputs that may obscure or degrade the reliability of biomechanical data are identified. The test administration module determines whether a user has successfully completed the test in accordance with instructions provided by the test administration application.