Centre National De La Recherche Scientifique

Etat Francais—ministere De La Defense—direction Centrale Du Service De Sante Des Armees

UniversitÉ Paris Descartes

UniversitÉ De Paris

Ecole Normale Superieure De Cachan

Univ Paris Xiii Paris-nord Villetaneuse

Université Paris Nord

Universite Paris Cité

Ecole Normale Superieure Paris-saclay

Rémi Barrois-Muller

Pierre Vidal

Damien Ricard

Laurent Oudre

Nicolas Vayatis

Alain Yelnik

Catherine Vidal

Robert Dadashi

Thomas Moreau

Charles Truong

Pierre Paul Vidal

Catherine De Waele

A device for analyzing the regularity and symmetry of a sequence of N gait or running cycles of a person, comprising sensors for measuring raw time signals of a physical movement variable of a body segment, a processing unit connected to the sensors for measuring and configured to separate the raw time signals into distinct time signals Ci, the Ci series being associated with a given gait or running cycle i of the person, to calculate at least one similarity coefficient between the signal Ci associated with gait or running cycle i and another signal Cj associated with a gait or running cycle j of the person. A display is configured to display the matrix M(i,j) with each value of the similarity coefficient shown in the matrix M(i,j) in color to form a graduated color scale indicating the similarity between the gait or running cycles i and j.

Locogram software: tool for analysing gait exercises

A method is provided for characterising a gait comprising steps of: receiving a signal measuring the movement of a target subject measured beforehand; comparing () at least one section of the measuring signal with a plurality of reference signals, the plurality of reference signals comprising at least one movement signal measured beforehand on a reference subject different from the target subject, each comparison of the measuring signal with a reference signal producing a similarity coefficient representative of a probability of similarity between the compared signals; and selecting () at least one local maximum of interest among the similarity coefficients produced, wherein the plurality of reference signals comprises at least one movement signal measured beforehand on a reference subject afflicted with a gait disorder, and at least one movement signal measured beforehand on a healthy reference object.

Method for characterising a gait

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Paris, France

Rémi Barrois-Muller