• Corpus ID: 231741304

Classifications based on response times for detecting early-stage Alzheimer's disease

@article{Ptrowski2021ClassificationsBO,
  title={Classifications based on response times for detecting early-stage Alzheimer's disease},
  author={Alain P{\'e}trowski},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.00738}
}
Introduction This paper mainly describes a way to detect with high accuracy patients with early-stage Alzheimer’s disease (ES-AD) versus healthy control (HC) subjects, from datasets built with handwriting and drawing task records. Method The proposed approach uses subject’s response times. An optimal subset of tasks is first selected with a “Support Vector Machine” (SVM) associated with a grid search. Mixtures of Gaussian distributions defined in the space of task durations are then used to… 

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References

SHOWING 1-10 OF 16 REFERENCES

Dynamic Handwriting Analysis for the Assessment of Neurodegenerative Diseases: A Pattern Recognition Perspective

This paper addresses the most relevant results obtained in the field of online (dynamic) analysis of handwritten trials by AD and PD patients and highlights the most profitable research directions.

Characterizing Early-Stage Alzheimer Through Spatiotemporal Dynamics of Handwriting

On a dataset consisting of two cognitive profiles, early-stage Alzheimer disease and healthy persons, each comprising 27 persons collected at Broca Hospital in Paris, the classification performance significantly outperforms the state-of-the-art, based on global kinematic features.

Time distortions in Alzheimer’s disease: a systematic review and theoretical integration

A theoretical framework is provided that integrates time and memory distortions in AD and explains their bidirectional modulation and indicates that time distortions may induce decline in the ability to mentally project oneself in time, and consequently may contribute to an episodic memory compromise in AD.

Loss of motor function in preclinical Alzheimer’s disease

Data suggest that age-related cognitive and motor decline may share a common causation, and individuals with a clinical diagnosis of AD may represent the ‘tip of the iceberg’, since AD pathology may have a much larger impact on the health and wellbeing of the aging population.

A training algorithm for optimal margin classifiers

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions,

Slow gait predicts cognitive decline: A population-based cohort study

An Introduction to Statistical Learning: with Applications in R

This book presents some of the most important modeling and prediction techniques, along with relevant applications, that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.

A Practical Guide to Support Vector Classication

A simple procedure is proposed, which usually gives reasonable results and is suitable for beginners who are not familiar with SVM.

Analyse automatique de l’écriture manuscrite sur tablette pour la détection et le suivi thérapeutique de personnes présentant des pathologies

Nous presentons dans cette these un nouveau paradigme pour caracteriser la maladie d’Alzheimer a travers l’ecriture manuscrite acquise sur tablette graphique. L’etat de l’art est domine par des