Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when 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, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

A wearable tremor reduction device reduces tremor by internally generating forces which cancel or reduce the magnitude force of the tremor experienced by the person wearing the device. The device may be worn on a wrist, arm, ankle or leg. The device has a plurality of housing members which are connected together. Each housing member contains a mass which is translatable along an axis between a proximal limit and a distal limit, and a neutral position approximately midway between the proximal limit and the distal limit. Following imposition of a force having a component along the axis, a biasing means returns the mass to the neutral position.

Devices, systems and methods are described that can facilitate recognition of an engagement between an object and a touch screen in the absence of human contact. Upon the engagement, an electrically conductive path can be established that extends from a surface of the touch screen such that sufficient electrons flow from the touch screen through the electrically conductive path to enable the recognition of the object on the touch screen in the absence of human contact with the object during continued presence of the object on the touch screen.

An apparatus for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and/or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

In some embodiments, the disclosed subject matter is an assistance system with a wearable assistive device that mitigates the effects of neuro-muscular ailments such as unintended motion, or loss of strength. The assistance system uses predictive analysis based on situational, operational, and historical contexts, when in active/predictive mode. When in reactive triode, the assistive device mitigates unintended motion without altering the strength of the user. The assistance system may have an exercise mode to both assess the user's strength and flexibility of various muscles and joints, and promote exercises to either avoid further losses, or to maintain current strength and flexibility. The assistance system utilizes sensor data from sensors coupled to the assistive device, and optionally from sensors coupled to mobile devices and in the environment. Actuators on the assistive device control movement of the device based on inferred intended actions or reactive to unintended movement.

Systems that integrate Transcranial Stimulation Biofeedback (TSB) Detector functions and Transcranial Magnetic Stimulation (TMS) functions, as well as methods of manufacturing such systems and methods of performing TSB detection and TMS using such systems, are provided. A system can include a hardware component and a software component in operable communication with the hardware component. The hardware component can include or be in operable communication with a TMS machine, and the software component can be configured to receive waveforms from the TSB Detector hardware.

A method of measuring animal health, such as rodent health, such as a degree of arthritis, is described. Steps include capturing video frames, then using optical flow to compute vector fields for each frame, then taking a maximum vector value over a first time period, then selecting a set of maximum vector values over a second time period, then clipping those values to a maximum, then computing an average of those values. This is an animal health metric. Metrics may be organized into a plot over time and may then be compared against known plots to compute an overall animal health and measure efficacy of treatments or other animal characteristics or behavior, including predictive.

Described is a low voltage, pulsed electrical stimulation device for reducing inflammation in a subject, which can be useful in the treatment of concussions, traumatic brain injury, cancer, and so forth.

Systems and method may be used for interfacing with a patient. Systems may include a plurality of electrodes in electrical communication with a processor. The processor may be configured to receive sense signals from electrodes and to determine the reliability of the received signal. A test tone signal comprising a test tone frequency may be applied, and the magnitude of the test tone frequency may be analyzed in the received signal. If it is determined that the magnitude of the test tone frequency is below a threshold, the system may take action, such as lowering the gain on an amplifier. Stimulation signals may be applied to the patient at a stimulation frequency simultaneously with one or both of receiving sense signals and providing the test tone signal.

Assessing sleep state of an individual. A time series of accelerometer data is obtained from an accelerometer device mounted upon or to the individual. From the time series of accelerometer data a percentage of time in which the individual is substantially immobile (% TA) is determined. From the time series of accelerometer data a typical time of continuous immobility (MTI) is also determined. The % TA and MTI are combined such as by weighted sum, to produce a sleep score. If the sleep score exceeds a threshold, this is an indication that the individual is asleep.