D. Ricard

发表

Inertial Sensors to Assess Gait Quality in Patients with Neurological Disorders: A Systematic Review of Technical and Analytical Challenges

P. Vidal, A. Vienne, R. Barrois, 2017, Front. Psychol..

Quantify osteoarthritis gait at the doctor’s office: a simple pelvis accelerometer based method independent from footwear and aging

N. Vayatis, P. Vidal, S. Laporte, 2015, Computer methods in biomechanics and biomedical engineering.

An Automated Recording Method in Clinical Consultation to Rate the Limp in Lower Limb Osteoarthritis

N. Vayatis, P. Vidal, S. Laporte, 2016, PloS one.

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

Julien Audiffren, Nicolas Vayatis, Pierre-Paul Vidal, 2016, PloS one.

Observational Study of 180° Turning Strategies Using Inertial Measurement Units and Fall Risk in Poststroke Hemiparetic Patients

Pierre-Paul Vidal, Laurent Oudre, Clément Provost, 2017, Frontiers in Neurology.

Environmental risk factors of primary brain tumors: A review.

D. Ricard, D. Ricard, A. Vienne-Jumeau, 2019, Revue neurologique.

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

P. Vidal, D. Ricard, F. Quijoux, 2021, Frontiers in Digital Health.

An opinion paper on the maintenance of robustness: Towards a multimodal and intergenerational approach using digital twins

N. Vayatis, J. Audiffren, J. Ghidaglia, 2020, Aging medicine (Milton (N.S.W)).

Wearable inertial sensors provide reliable biomarkers of disease severity in multiple sclerosis: a systematic review and meta-analysis.

P. Vidal, D. Ricard, A. Vienne-Jumeau, 2020, Annals of physical and rehabilitation medicine.

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

N. Vayatis, J. Audiffren, R. Barrois, 2022, Journal of Neurology.

Impact of Sensory Afferences in Postural Control Quantified by Force Platform: A Protocol for Systematic Review

D. Ricard, Charles Truong, F. Quijoux, 2022, Journal of personalized medicine.

Evaluation methods to assess the efficacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review

N. Vayatis, C. Voisard, D. Ricard, 2022, Frontiers in Neurology.

Gaze constraint while walking in progressive multiple sclerosis: A feasibility study

P. Vidal, A. Vienne, S. Buffat, 2017, Neurophysiologie Clinique.

Personalized Template-Based Step Detection From Inertial Measurement Units Signals in Multiple Sclerosis

Flavien Quijoux, Aliénor Vienne-Jumeau, Albane Moreau, 2020, Frontiers in Neurology.

Balance Impairment in Radiation Induced Leukoencephalopathy Patients Is Coupled With Altered Visual Attention in Natural Tasks

Nicolas Vayatis, Pierre-Paul Vidal, Ioannis Bargiotas, 2019, Front. Neurol..

Risk factors for spinal cord lesions in dystonic cerebral palsy and generalised dystonia

M. Vidailhet, D. Galanaud, S. Thobois, 2011, Journal of Neurology, Neurosurgery & Psychiatry.

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

N. Vayatis, J. Audiffren, A. Yelnik, 2022, Journal of Neurology.

A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code

N. Vayatis, J. Audiffren, A. Yelnik, 2021, Physiological reports.

Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning

N. Vayatis, P. Vidal, Argyris Kalogeratos, 2021, PLoS ONE.

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications

Argyris Kalogeratos, Nicolas Vayatis, Ioannis Bargiotas, 2020, SETN.

Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis

P. Vidal, D. Ricard, A. Vienne-Jumeau, 2020, Ageing Research Reviews.

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

Laurent Oudre, Damien Ricard, Flavien Quijoux, 2020, Sensors.

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

Nicolas Vayatis, Charles Truong, Laurent Oudre, 2019, Image Process. Line.

Comparing Gait Trials with Greedy Template Matching

Laurent Oudre, Damien Ricard, Flavien Quijoux, 2019, Sensors.

Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm

Julien Audiffren, Nicolas Vayatis, Pierre-Paul Vidal, 2019, Image Process. Line.

Template-Based Step Detection with Inertial Measurement Units

Nicolas Vayatis, Pierre-Paul Vidal, Charles Truong, 2018, Sensors.

On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly

Julien Audiffren, Nicolas Vayatis, Ioannis Bargiotas, 2018, PloS one.

Template-DTW based on inertial signals: Preliminary results for step characterization

Laurent Oudre, Juan Mantilla, Damien Ricard, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis

P. Vidal, D. Ricard, A. Vienne-Jumeau, 2019, Systematic Reviews.

A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis

D. Ricard, L. Oudre, A. Vienne-Jumeau, 2022, PloS one.

Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions pdf

Charles Truong, Flavien Quijoux, Ali'enor Vienne-Jumeau, 2020, ArXiv.

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

Nicolas Vayatis, Damien Ricard, Laurent Oudre, 2020, Sensors.

A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment

D. Ricard, Charles Truong, L. Oudre, 2023, Sensors.

Adaptive Change-Point Detection for Studying Human Locomotion

N. Vayatis, D. Ricard, Charles Truong, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram

N. Vayatis, D. Ricard, L. Oudre, 2023, Frontiers in neurology.

Value of gait analysis for measuring disease severity using inertial sensors in patients with multiple sclerosis: protocol for a systematic review and meta-analysis

P. Vidal, D. Ricard, A. Vienne-Jumeau, 2019, Systematic Reviews.

Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients

D. Ricard, L. Oudre, N. l'Escalopier, 2024, Journal of neuroengineering and rehabilitation.

Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning pdf

Argyris Kalogeratos, Nicolas Vayatis, Pierre-Paul Vidal, 2019, ArXiv.

Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions

P. Vidal, D. Ricard, Charles Truong, 2020, ArXiv.