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A versatile computational algorithm for time-series data analysis and machine-learning models.

Taylor ChomiakNeilen P RasiahLeonardo A MolinaBin HuJaideep S BainsTamás Füzesi
Published in: NPJ Parkinson's disease (2021)
Here we introduce Local Topological Recurrence Analysis (LoTRA), a simple computational approach for analyzing time-series data. Its versatility is elucidated using simulated data, Parkinsonian gait, and in vivo brain dynamics. We also show that this algorithm can be used to build a remarkably simple machine-learning model capable of outperforming deep-learning models in detecting Parkinson's disease from a single digital handwriting test.
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