Movement disorder monitoring and symptom quantification system and method
First Claim
1. A method of quantifying severity of a subjects movement disorder comprising the steps of:
- providing a device to a subject, the device comprising at least one sensor having a signal corresponding to a subject'"'"'s external body motion associated with a movement disorder;
measuring the subject'"'"'s external body motion with the at least one sensor while the subject performs at least one movement disorder test corresponding to at least one movement disorder symptom;
transmitting a signal from the at least one sensor to a processor; and
calculating substantially in real time with the processor a symptom quantification measure based at least in part on the signal from the at least one sensor;
wherein the device has a real-time average intraclass correlation (ICC) of at least 0.80.
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Accused Products
Abstract
The present invention relates to a movement disorder monitor with high sensitivity, and a method of measuring the severity of a subject'"'"'s movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject'"'"'s symptoms. The present invention provides for a system and method, which can accurately and repeatably quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and/or electromyography (EMU) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject'"'"'s with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides substantially real-time remote access to data by the clinician or physician.
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Citations
20 Claims
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1. A method of quantifying severity of a subjects movement disorder comprising the steps of:
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providing a device to a subject, the device comprising at least one sensor having a signal corresponding to a subject'"'"'s external body motion associated with a movement disorder; measuring the subject'"'"'s external body motion with the at least one sensor while the subject performs at least one movement disorder test corresponding to at least one movement disorder symptom; transmitting a signal from the at least one sensor to a processor; and calculating substantially in real time with the processor a symptom quantification measure based at least in part on the signal from the at least one sensor; wherein the device has a real-time average intraclass correlation (ICC) of at least 0.80. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of quantifying severity of a subject'"'"'s movement disorder comprising the steps of:
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providing a device to a subject, the device comprising at least one sensor having a signal corresponding to a subject'"'"'s external body motion associated with a movement disorder; measuring the subject'"'"'s external body motion with the at least one sensor while the subject performs at least one movement disorder test corresponding to at least one movement disorder symptom; transmitting a signal from the at least one sensor to a processor; and calculating substantially in real time with the processor a symptom quantification measure based at least in part on the signal from the at least one sensor; wherein the device has a real-time average minimal detectable change (MDC) that represents a change of about 15% or less of the total scale of the particular test. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A portable device for quantifying severity of a subject'"'"'s movement disorder comprising:
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at least one sensor having a signal for measuring a subject'"'"'s external body motion or physiological signal associated with a movement disorder, and at least one processor for receiving the sensor signal and calculating the severity of the subject'"'"'s movement disorder symptom(s) in real time, wherein the device has a real-time average intraclass correlation (ICC) of at least about 0.80. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification