The rates of change of the stochastic trajectories of acceleration variability are a good predictor of normal aging and of the stage of Parkinson’s disease
The accelerometer data from mobile smart phones provide stochastic trajectories that change over time. This rate of change is unique to each person and can be well characterized by the continuous two-parameter family of Gamma probability distributions. Accordingly, on the Gamma plane each participan...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-07-01
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| Series: | Frontiers in Integrative Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnint.2013.00050/full |