A Data Set for the Study of Human Locomotion with Inertial Measurements Units

Truong, Charles; Barrois-Müller, Rémi; Moreau, Thomas; Provost, Claire; Vienne-Jumeau, Aliénor; Moreau, Albane; Vidal, Pierre‐Paul; Vayatis, Nicolas; Buffat, Stéphane; Yelnik, A.; Ricard, Damien; Oudre, Laurent

doi:10.5201/ipol.2019.265

Cited by 16 publications

(10 citation statements)

References 6 publications

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“…In the last past ten years, Inertial Measurement Units (IMU) have gained popularity in this domain. These low-cost sensors, composed of accelerometers, gyroscopes and magnetometers, have been used in clinical studies [1,[5][6][7][8][9][10] with good results. Those IMU present multiple advantages: they are low-cost, small in size (easy to use in clinical settings), and are body-worn (they do not require any specific installation).…”

Section: Introductionmentioning

confidence: 99%

Non-Linear Template-Based Approach for the Study of Locomotion

Dot

Quijoux

Oudre

et al. 2020

Sensors

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The automatic detection of gait events (i.e., Initial Contact (IC) and Final Contact (FC)) is crucial for the characterisation of gait from Inertial Measurements Units. In this article, we present a method for detecting steps (i.e., IC and FC) from signals of gait sequences of individuals recorded with a gyrometer. The proposed approach combines the use of a dictionary of templates and a Dynamic Time Warping (DTW) measure of fit to retrieve these templates into input signals. Several strategies for choosing and learning the adequate templates from annotated data are also described. The method is tested on thirteen healthy subjects and compared to gold standard. Depending of the template choice, the proposed algorithm achieves average errors from 0.01 to 0.03 s for the detection of IC, FC and step duration. Results demonstrate that the use of DTW allows achieving these performances with only one single template. DTW is a convenient tool to perform pattern recognition on gait gyrometer signals. This study paves the way for new step detection methods: it shows that using one single template associated with non-linear deformations may be sufficient to model the gait of healthy subjects.

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Section: Introductionmentioning

confidence: 99%

Non-Linear Template-Based Approach for the Study of Locomotion

Dot

Quijoux

Oudre

et al. 2020

Sensors

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“…One way to unify the studies would be the creation of a public and universally accessible dataset, as in the recent study by Garcia et al [ 86 ]. Additional ways to unify the studies could be to work on a common goal such as the challenges (see, for example, in [ 121 ]), to have a shared aim for the whole community [ 121 ]. Although progress has been made in the detection of physical activity using inertial motion sensors, longer, larger, and more accurate studies are needed in order to be able to track patients longitudinally.…”

Section: Discussionmentioning

confidence: 99%

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review

Jung

Michaud

Oudre

et al. 2020

Sensors

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This article presents an overview of fifty-eight articles dedicated to the evaluation of physical activity in free-living conditions using wearable motion sensors. This review provides a comprehensive summary of the technical aspects linked to sensors (types, number, body positions, and technical characteristics) as well as a deep discussion on the protocols implemented in free-living conditions (environment, duration, instructions, activities, and annotation). Finally, it presents a description and a comparison of the main algorithms and processing tools used for assessing physical activity from raw signals.

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“…We hypothesize that a score based on both evaluations of static and dynamic balance allows a reliable and unequaled estimation of the risk of falling, after selection of the best biomechanics parameters. This selection is based on systematic reviews ( 30 , 35 , 64 ), machine learning algorithms from previous recordings ( 11 , 12 ), and on an analysis of locomotion made in consultation for patients with or without neurological disorders ( 65 ).…”

Section: Methods and Designmentioning

confidence: 99%

Postadychute-AG, Detection, and Prevention of the Risk of Falling Among Elderly People in Nursing Homes: Protocol of a Multicentre and Prospective Intervention Study

Quijoux

Bertin-Hugault²,

Zawieja³

et al. 2021

Front. Digit. Health

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Introduction: While falls among the elderly is a public health issue, because of the social, medical, and economic burden they represent, the tools to predict falls are limited. Posturography has been developed to distinguish fallers from non-fallers, however, there is too little data to show how predictions change as older adults' physical abilities improve. The Postadychute-AG clinical trial aims to evaluate the evolution of posturographic parameters in relation to the improvement of balance through adapted physical activity (APA) programs.Methods: In this prospective, multicentre clinical trial, institutionalized seniors over 65 years of age will be followed for a period of 6 months through computer-assisted posturography and automatic gait analysis. During the entire duration of the follow-up, they will benefit from a monthly measurement of their postural and locomotion capacities through a recording of their static balance and gait thanks to a software developed for this purpose. The data gathered will be correlated with the daily record of falls in the institution. Static and dynamic balance measurements aim to extract biomechanical markers and compare them with functional assessments of motor skills (Berg Balance Scale and Mini Motor Test), expecting their superiority in predicting the number of falls. Participants will be followed for 3 months without APA and 3 months with APA in homogeneous group exercises. An analysis of variance will evaluate the variability of monthly measures of balance in order to record the minimum clinically detectable change (MDC) as participants improve their physical condition through APA.Discussion: Previous studies have stated the MDC through repeated measurements of balance but, to our knowledge, none appear to have implemented monthly measurements of balance and gait. Combined with a reliable measure of the number of falls per person, motor capacities and other precipitating factors, this study aims to provide biomechanical markers predictive of fall risk with their sensitivity to improvement in clinical status over the medium term. This trial could provide the basis for posturographic and gait variable values for these elderly people and provide a solution to distinguish those most at risk to be implemented in current practice in nursing homes.Trial Registration: ID-RCB 2017-A02545-48.Protocol Version: Version 4.2 dated January 8, 2020.

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A Data Set for the Study of Human Locomotion with Inertial Measurements Units

Cited by 16 publications

References 6 publications

Non-Linear Template-Based Approach for the Study of Locomotion

Non-Linear Template-Based Approach for the Study of Locomotion

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review

Postadychute-AG, Detection, and Prevention of the Risk of Falling Among Elderly People in Nursing Homes: Protocol of a Multicentre and Prospective Intervention Study

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