The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

Disclosed is an implantable neural stimulation device, the device comprising: an electrode array comprising a plurality of electrodes, the electrodes comprising a first stimulus electrode and a second stimulus electrode; a pulse generator connectable to the stimulus electrodes, the pulse generator configured to generate a multiphasic stimulus pulse of current from a supply voltage and deliver the multiphasic stimulus pulse via the stimulus electrodes to an electrically excitable tissue in order to evoke a neural response on a neural pathway in the electrically excitable tissue; and modulation circuitry connectable to a regulation electrode of the plurality of electrodes, the modulation circuitry configured to modulate a voltage on the regulation electrode during the delivery of the multiphasic stimulus pulse such that a corresponding voltage on each stimulus electrode varies substantially symmetrically around a value which is about half the supply voltage over the multiphasic stimulus pulse.

Systems and methods rely on feedback from an active medical device or devices (e.g., neurostimulator coupled to sensing and stimulation elements such as electrodes) to assess the effectiveness of a patient's drug regimen. Such reliance may include analyzing characteristics in physiological data acquired by the medical device(s), for example, in the form of responses evoked from the patient by electrical stimulation waveforms. Systems and methods further involved adjusting one or more parameters according to which a combination therapy consisting of at least a drug regimen and an electrical stimulation therapy are delivered to a patient, in an effort to optimize the therapeutic effect of the combination. The adjustments may be automatically by one or more implanted or external hosts working together or alone, and/or with the input of a physician.

Embodiments include systems, methods, and computer program products for monitoring progression of Parkinson's disease. Aspects include receiving pressure data from a plurality of pressure sensors, the pressure sensors being positioned on a chair. Aspects also include analyzing the pressure data to determine the severity of a unified Parkinson's disease rating scale factor for a patient.

A sensor includes a bridge circuit including one or more strain gauges mounted on a nail plate, the bridge circuit outputting a voltage signal, an amplifier circuit amplifying the voltage signal output by the bridge circuit to generate an amplified signal, an analog-to-digital (A/D) converter converting the amplified signal into a digital signal, a controller receiving the digital signal and facilitating communication with a receiver, and an antenna configured to transmit the digital signal.

A system and method for stabilizing unintentional muscle movements are disclosed. In a first aspect, a non-contact sensing system comprises a stabilization unit, at least one non-contact position sensor coupled to the stabilization unit, and a processing unit coupled to the at least one non-contact position sensor, wherein the processing unit transmits motion commands to the stabilization unit to cancel unintentional muscle movements. In a second aspect, the method comprises a processing unit of a non-contact sensing system receiving position data of a stabilization unit that is detected by at least one non-contact position sensor and filtering the position data to identify the unintentional muscle movements. The method includes modeling the position data to create a system model and determining motor commands based upon the system model to cancel the unintentional muscle movements.

Various embodiments of the present invention describe mechanisms configured to monitor, track, and manage symptoms of Parkinson's disease (PD). According to particular exemplary embodiments, a system includes sensors configured to monitor motion exhibited by a user having symptoms of Parkinson's disease, a processor configured to determine whether the motion constitutes a tremor episode, and memory configured to maintain data associated with the tremor episode, a severity rating associated with the tremor episode, and medication intake information. In exemplary embodiments, the effectiveness of a user's medication intake can be determined based on data displayed regarding severity rating variations over time in relation to medication intake.

A brain stimulation method and system are provided, wherein neuronal signals of a patient are continuously sensed by at least one sensor device and based on the sensed signals, stimulation signals are applied to the patient by at least one stimulation device, wherein the sensed signals are transmitted to a body-external, portable processing device wherein the sensed signals are evaluated, and based on the evaluated signals stimulation control signals are generated and transmitted to the stimulation device where based on the stimulation control signals the stimulation signals are generated.

Systems and processes for measurement of the eyelid movements of a subject, which explores eyelids' electrical conductivity, namely the established fact that eyelids are acting as sliding electrodes moving over the cornea, is comprised of a system for generating a high frequency weak and harmless oscillating electromagnetic field in the proximity of the eyelid movement path without interference with the vision or activity of any such subject, therefore induces so-called Eddy Currents in the eyelid, which in its turn produce its own electromagnetic field with a value depended on the eyelid position; the interaction between the basic oscillating electromagnetic field and the field generated by the eyelid is changing electromagnetic field inductance, which will be measured with very high accuracy by means of resonance sensing electronics; such systems can transmit data from its detecting electronics to a remote monitor that compels no restrictions on operator activity.

Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used are described. The method may include measuring, with a first inertial measuring unit (IMU), at least an orientation of a housing of the handheld tool, and measuring, with a second IMU, at least an orientation or an attachment arm extending from the housing of the handheld tool. The method may also include storing the orientation of the housing and the orientation of the attachment arm in a memory. Furthermore, the method may include controlling, with a processing logic, a first motion generating mechanism and a second motion generating mechanism to move the attachment arm relative to the housing based on the measured orientation of the housing and the measured orientation of the attachment arm to stabilize motion of a user-assistive device attached to a distal end of the attachment arm.