Sensors that include carbon nanotubes, and articles that include the sensors. The sensors may include a buckypaper. The sensors may be flexible. Methods of making sensors, which may include printing an electrode on a substrate. The printing of an electrode may be achieved with an inkjet printer.

A movement monitoring system for objectively quantifying a motor control disorder in a subject comprises a movement detection device generating movement data representing movement of a limb of the subject and an analyser for analysing the movement data. The movement detection device comprises sensors measuring at least motion of the device and pressure applied to the device by the subject. The analyser comprises a processor and a memory containing code which, when executed by the processor, receives the movement data generated by the movement detection device, applies the received movement data to an algorithmic model stored in the memory and identifies one or more features from the movement data that represent disordered movement by the subject, and calculates from the one or more identified features a score corresponding to the existence of the motor control disorder in the subject.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed impairment patterns. A smart ring, wearable on a user's finger, continuously monitors impairment levels. This impairment data, representing impairment patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed impairment patterns. The user can be warned of this risk to prevent them from driving or to encourage them to delay driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while the user is in a state of impairment induced by substance intoxication.

A dexterity testing apparatus includes a housing and a sensor. The housing is configured to be manipulated with digits of one hand of a user. The sensor is supported by the housing and configured to generate user dexterity data based upon changes in acceleration and orientation of the housing as the housing moves relative to the digits of the one hand of the user. The sensor is configured to convert the user dexterity data into an output signal indicative of the user's dexterity.

The present disclosure relates to a sensor assembly including a sensor element configured to be arranged external to a drug delivery device such that a user of the drug delivery device can hold the drug delivery device through gripping the sensor element. The sensor element is configured to detect a contact area of a hand of the user of the drug delivery device when gripping the sensor element. The sensor assembly can be included in a drug delivery system.

A pen comprising a shaft, a gripping zone, and a measuring device having a sensor configured to measure a force acting on the gripping zone. The pen further comprises a cover in the area of the gripping zone, the cover configured to cover the measuring device.

The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). 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 tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

Devices, systems and methods are disclosed that allow a patient to self-treat neurodegenerative diseases, such as dementia, Alzheimer's disease, ischemic stroke, post-concussion syndrome, chronic traumatic encephalopathy and the like by electrical noninvasive stimulation of a vagus nerve. The system comprises a handheld stimulator that is applied to the surface of the patient's neck, wherein the stimulator comprises or is joined to a smartphone. A camera of the smartphone may be used to position and reposition the stimulator to a particular location on the patient's neck. The system may also comprise a base station that is used to meter the charging of a rechargeable battery within the stimulator. The base station and stimulator transmit data to one another regarding the status of a stimulation session.

A user-wearable system for communicating with a computer system includes a hand wearable device, a sensor array on the hand wearable device and configured to capture myoelectric signals from the user's hand and a means for converting the myoelectric signals into computer-readable signals corresponding to a computer instruction executed by the computer system.