Movement disorder therapy system, devices and methods, and intelligent methods of tuning
Inventors
Heldman, Dustin A • Pulliam, Christopher L • Giuffrida, Joseph P • Mera, Thomas O
Assignees
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Publication Number
US-11383087-B1
Publication Date
2022-07-12
Expiration Date
Abstract
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.
Core Innovation
The invention relates to a movement disorder therapy system that measures movement data during at least one movement disorder test using a movement disorder diagnostic device with at least one physiological or movement sensor. The sensor is adapted to be worn, attached or held at different locations on the surface of the subject's body and provides a signal related to subject motion. The diagnostic device measures movement data while the subject performs the test and includes at least one electronic component adapted to collect and transmit the measured movement data.
The system includes a processor with a quantification algorithm and a determination algorithm. The processor extracts at least one kinematic feature from the measured movement data, where the kinematic feature is selected from peak power angular velocity, RMS angular velocity, frequency, maximum amplitude, peak-to-peak amplitude, wavelet parameters, covariance, and standard deviation over time of kinematic features. The quantification algorithm receives data corresponding to the subject's measured motor symptoms and the extracted kinematic feature to quantify motor symptoms.
The determination algorithm provides a suggested level of drug or medication dosing parameters based on a mode of therapy or treatment corresponding to the subject's needs. A tuning output interfaces with the subject's drug or medication delivery device to provide second level drug or medication dosing parameters for altering symptomatic movement, and in at least one configuration the second level drug or medication dosing parameters are automatically entered into the device.
In configurations with additional data output, data corresponding to measured and quantified motor symptoms and/or the suggested or second level drug or medication dosing parameters is displayed visually for review by a clinician, physician, or technician, including a tuning map displayed as a two-dimensional representation of a three-dimensional graph. The quantification algorithm includes an artificial neural network, a Bayesian network, and/or a genetic algorithm.
Claims Coverage
The document includes three independent claims. Across these claims, the core inventive features center on measuring movement data with a wearable or held diagnostic device, extracting kinematic features to quantify motor symptoms, and using a determination algorithm to provide suggested or second level drug or medication dosing parameters that interface with a drug or medication delivery device, optionally with clinician-facing visual outputs and automatic tuning entry.
Wearable diagnostic device measuring motion during movement disorder testing
A movement disorder diagnostic device including at least one physiological or movement sensor adapted to be worn, attached or held at different locations on the subject's body, providing a signal related to subject motion, measuring movement data during at least one movement disorder test, and collecting and transmitting the measured movement data via at least one electronic component.
Kinematic feature extraction for motor symptom quantification
A processor including a quantification algorithm adapted to extract at least one kinematic feature from the measured movement data and to quantify motor symptoms by receiving data corresponding to the subject's measured motor symptoms together with the extracted kinematic feature, where the kinematic feature is selected from peak power angular velocity, RMS angular velocity, frequency, maximum amplitude, peak-to-peak amplitude, wavelet parameters, covariance, and standard deviation over time of kinematic features.
Determination algorithm mapping quantified symptoms to dosing parameters via therapy mode
A determination algorithm adapted to provide a suggested level of drug or medication dosing parameters based on a mode of therapy or treatment corresponding to the subject's needs based at least in part on the quantified motor symptoms.
Tuning output to interface with drug or medication delivery device using second level dosing parameters
A tuning output adapted to interface with the subject's drug or medication delivery device to provide second level drug or medication dosing parameters to alter the subject's symptomatic movement, where the second level dosing parameters are entered into the drug or medication delivery device and, in at least one configuration, automatically entered so the device operates under the second level dosing parameters.
Clinician visual data output for review and determination of second level dosing parameters
A data output comprising data corresponding to the subject's measured and quantified motor symptoms and/or suggested drug or medication dosing parameters, adapted to be displayed visually for review by a clinician, physician, or technician to determine second level drug or medication dosing parameters for a tuning output.
Tuning map visualization as two-dimensional representation of a three-dimensional graph
A data output configured to be displayed as a tuning map, where the tuning map is a two-dimensional representation of a three-dimensional graph.
Quantification algorithm using an artificial intelligence model type
Wherein the quantification algorithm includes an artificial neural network, a Bayesian network, and/or a genetic algorithm.
Across the independent claims, the system measures motion with a wearable or held diagnostic device, extracts kinematic features, quantifies motor symptoms, and uses a determination algorithm tied to a therapy mode to generate suggested or second level drug or medication dosing parameters. A tuning output interfaces with the drug or medication delivery device to provide, and in at least one claim automatically enter, the second level dosing parameters, optionally supported by clinician-facing visual outputs including a tuning map.
Stated Advantages
Provides second level drug or medication dosing parameters to alter the subject's symptomatic movement.
Documented Applications
No documented applications found
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