Neural biomarkers of Parkinson's disease
US12336833B2 · kind B2 · utility
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Key dates
| Filing date | Dec 11, 2019 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Jul 21, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B5/7267
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method includes engaging Parkinson's Disease (PD) subjects in a continuous motor performance task that elicits natural motor variability, quantifying natural motor variability of each PD subject with an array of motor metrics at short timescales, applying a machine-learning classification or regression algorithm to determine weights for each of these metrics to maximally differentiate each patient's motor performance from that of controls performing the same task, and combining the weights to determine a scalar metric of motor performance for each short epoch of motor behavior.
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