A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers

Open Access

Peer-reviewed

Research Article

Julien Audiffren ,

* E-mail: julien.audiffren@cmla.ens-cachan.fr

Affiliations CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France, COGNAG-G UMR 8257 CNRS, SSA, Université Paris Descartes, Paris, France
⨯
Ioannis Bargiotas,

Affiliations CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France, COGNAG-G UMR 8257 CNRS, SSA, Université Paris Descartes, Paris, France
⨯
Nicolas Vayatis,

Affiliations CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France, COGNAG-G UMR 8257 CNRS, SSA, Université Paris Descartes, Paris, France
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Pierre-Paul Vidal,

Affiliation COGNAG-G UMR 8257 CNRS, SSA, Université Paris Descartes, Paris, France
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Damien Ricard

Affiliations COGNAG-G UMR 8257 CNRS, SSA, Université Paris Descartes, Paris, France, Service de neurologie, HIA Percy, Service de Santé des Armées, Clamart, France, Ecole du Val-de-Grâce, Service de Santé des Armées, Paris, France
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Postural control
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Balance and falls
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Machine learning algorithms
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Ranking algorithms
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Eyes
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Elderly
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Acceleration
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Forests
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