Method and apparatus for continuous measurement of motor symptoms in parkinson's disease and essential tremor with wearable sensors
First Claim
1. A method for generating a plurality of movement impairment indices from one or more kinematic signals obtained from one or more kinematic sensors, said method implemented in a digital computer with one or more processors in order to characterize movement disorders, said method comprising:
- (a) collecting said one or more kinematic signals from said one or more kinematic sensors in a wearable inertial monitoring system configured for continuous measurement of movement;
(b) processing said one or more kinematic signals to reject artifacts and noise resulting in one or more enhanced kinematic signals;
(c) finding a measure of power spectral density of said one or more enhanced kinematic signals; and
(d) calculating one or more impairment indices to characterize movement disorders in Parkinson'"'"'s disease or essential tremor from said measure of power spectral density.
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Abstract
Disclosed embodiments include an apparatus for generating a plurality of movement impairment indices from one or more kinematic signals to characterize movement disorders. Additionally we disclose methods for generating a plurality of movement impairment indices from one or more kinematic signals obtained from one or more kinematic sensors, said methods implemented in a digital computer with one or more processors in order to characterize movement disorders based on spectral analysis, regularity metrics, and time-frequency analysis.
48 Citations
14 Claims
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1. A method for generating a plurality of movement impairment indices from one or more kinematic signals obtained from one or more kinematic sensors, said method implemented in a digital computer with one or more processors in order to characterize movement disorders, said method comprising:
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(a) collecting said one or more kinematic signals from said one or more kinematic sensors in a wearable inertial monitoring system configured for continuous measurement of movement; (b) processing said one or more kinematic signals to reject artifacts and noise resulting in one or more enhanced kinematic signals; (c) finding a measure of power spectral density of said one or more enhanced kinematic signals; and (d) calculating one or more impairment indices to characterize movement disorders in Parkinson'"'"'s disease or essential tremor from said measure of power spectral density. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for analyzing and visualizing kinematic data to characterize movement disorders, comprising:
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(a) collecting one or more kinematic signals from one or more kinematic sensors in a wearable inertial monitoring system configured for continuous measurement of movement; and (b) calculating and displaying a time-frequency analysis plot of said one or more kinematic signals to characterize movement disorders in Parkinson'"'"'s disease or essential tremor as a function of time. - View Dependent Claims (13)
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14. An apparatus for generating a plurality of movement impairment indices from one or more kinematic signals to characterize movement disorders, comprising:
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(a) one or more kinematic sensors in an untethered wearable inertial monitoring system configured for continuous measurement of movement by collecting one or more kinematic signals; and (b) a processor configured for
1) processing said one or more kinematic signals to reject artifacts and noise resulting in one or more enhanced kinematic signals,
2) finding a measure of power spectral density of said one or more enhanced kinematic signals, and
3) calculating one or more impairment indices to characterize movement disorders in Parkinson'"'"'s disease or essential tremor from said measure of power spectral density.
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Specification