Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke

[1]  Michael A. Colman,et al.  42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society , 2019, IEEE Transactions on Medical Imaging.

[2]  Gabi Zeilig,et al.  Executive functioning and daily living of individuals with chronic stroke: measurement and implications , 2018, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[3]  Mariano Alcañiz,et al.  Reliability and comparison of Kinect-based methods for estimating spatiotemporal gait parameters of healthy and post-stroke individuals. , 2018, Journal of biomechanics.

[4]  Giuseppe Vannozzi,et al.  Multi-sensor assessment of dynamic balance during gait in patients with subacute stroke. , 2017, Journal of biomechanics.

[5]  Alex Mihailidis,et al.  An Automated Classification of Pathological Gait Using Unobtrusive Sensing Technology , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  Moataz Eltoukhy,et al.  Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease. , 2017, Medical engineering & physics.

[7]  L. Vereeck,et al.  Trunk biomechanics during hemiplegic gait after stroke: A systematic review. , 2017, Gait & posture.

[8]  Guang-Zhong Yang,et al.  Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review , 2016, IEEE Journal of Biomedical and Health Informatics.

[9]  Alex Mihailidis,et al.  Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters. , 2016, Medical engineering & physics.

[10]  M. Hernandez,et al.  Gait variability in people with neurological disorders: A systematic review and meta-analysis. , 2016, Human movement science.

[11]  Subashan Perera,et al.  The test-retest reliability and minimal detectable change of spatial and temporal gait variability during usual over-ground walking for younger and older adults. , 2016, Gait & posture.

[12]  Shmuel Springer,et al.  Validity of the Kinect for Gait Assessment: A Focused Review , 2016, Sensors.

[13]  GyuChang Lee,et al.  Gait velocity and walking distance to predict community walking after stroke. , 2015, Nursing & health sciences.

[14]  Melvyn Roerdink,et al.  Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments , 2015, PloS one.

[15]  Matjaz B. Juric,et al.  Inertial Sensor-Based Gait Recognition: A Review , 2015, Sensors.

[16]  Ross A Clark,et al.  Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables. , 2015, Journal of biomechanics.

[17]  Ross A Clark,et al.  Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control. , 2015, Gait & posture.

[18]  E. Keshner,et al.  A low-cost Wii Balance Board™-based posturography system: An efficacy study with healthy subjects and individuals with stroke , 2015, 2015 International Conference on Virtual Rehabilitation (ICVR).

[19]  Pedro Arias,et al.  Metrological comparison between Kinect I and Kinect II sensors , 2015 .

[20]  Mariano Alcañiz Raya,et al.  Tracking Systems for Virtual Rehabilitation: Objective Performance vs. Subjective Experience. A Practical Scenario , 2015, Sensors.

[21]  Kelly J. Bower,et al.  Instrumenting gait assessment using the Kinect in people living with stroke: reliability and association with balance tests , 2015, Journal of NeuroEngineering and Rehabilitation.

[22]  D. Brooks,et al.  Reference values for standardized tests of walking speed and distance: a systematic review. , 2015, Gait & posture.

[23]  Franck Multon,et al.  Detection of gait cycles in treadmill walking using a Kinect. , 2015, Gait & posture.

[24]  Kade Paterson,et al.  Quantifying Individual Components of the Timed Up and Go Using the Kinect in People Living With Stroke , 2015, Neurorehabilitation and neural repair.

[25]  Stefano Ramat,et al.  Affordable, automatic quantitative fall risk assessment based on clinical balance scales and Kinect data , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  F. Tok,et al.  Gait Disturbances in Patients With Stroke , 2014, PM & R : the journal of injury, function, and rehabilitation.

[27]  W. McIlroy,et al.  Spatial-temporal gait variability poststroke: variations in measurement and implications for measuring change. , 2014, Archives of physical medicine and rehabilitation.

[28]  E. Skidmore,et al.  The Stroke Assessment of Fall Risk (SAFR): predictive validity in inpatient stroke rehabilitation , 2014, Clinical rehabilitation.

[29]  Addie Middleton,et al.  Concurrent validity of walking speed values calculated via the GAITRite electronic walkway and 3 meter walk test in the chronic stroke population , 2014, Physiotherapy theory and practice.

[30]  Kelly J. Bower,et al.  Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables. , 2013, Journal of biomechanics.

[31]  Richard W. Bohannon,et al.  Minimal Clinically Important Difference for Comfortable Speed as a Measure of Gait Performance in Patients Undergoing Inpatient Rehabilitation after Stroke , 2013, Journal of physical therapy science.

[32]  Didier Pradon,et al.  Variations in Kinematics during Clinical Gait Analysis in Stroke Patients , 2013, PloS one.

[33]  Kenneth Sundaraj,et al.  Gait disorder rehabilitation using vision and non-vision based sensors: a systematic review. , 2012, Bosnian journal of basic medical sciences.

[34]  J. Ferri,et al.  Clinical usefulness of the Spanish version of the Mississippi Aphasia Screening Test (MASTsp): validation in stroke patients , 2012 .

[35]  C. Wang,et al.  Gait Speed Measure: The Effect of Different Measuring Distances and the Inclusion and Exclusion of Acceleration and Deceleration , 2012, Perceptual and motor skills.

[36]  Richard W. Bohannon,et al.  Normal walking speed: a descriptive meta-analysis. , 2011, Physiotherapy.

[37]  Kari Dunning,et al.  Estimating Clinically Important Change in Gait Speed in People With Stroke Undergoing Outpatient Rehabilitation , 2011, Journal of neurologic physical therapy : JNPT.

[38]  Janice J. Eng,et al.  Effect of Stroke on Fall Rate, Location and Predictors: A Prospective Comparison of Older Adults with and without Stroke , 2011, PloS one.

[39]  Miao-Ju Hsu,et al.  Psychometric Comparisons of 3 Functional Ambulation Measures for Patients With Stroke , 2010, Stroke.

[40]  Steven Y Cen,et al.  Meaningful Gait Speed Improvement During the First 60 Days Poststroke: Minimal Clinically Important Difference , 2010, Physical Therapy.

[41]  A Ashburn,et al.  Predicting people with stroke at risk of falls. , 2008, Age and ageing.

[42]  Davide Cattaneo,et al.  Reliability and validity of the dynamic gait index in persons with chronic stroke. , 2007, Archives of physical medicine and rehabilitation.

[43]  G. Fulk,et al.  Test-Retest Reliability and Minimal Detectable Change of Gait Speed in Individuals Undergoing Rehabilitation After Stroke , 2006, Journal of neurologic physical therapy : JNPT.

[44]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[45]  V. Parmar,et al.  Menz HB, Latt MD, Tiedemann A, Mun San Kwan M, Lord SR. Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. Gait & Posture 2004;20(1):20–25 , 2006 .

[46]  S. Studenski,et al.  Meaningful Change and Responsiveness in Common Physical Performance Measures in Older Adults , 2006, Journal of the American Geriatrics Society.

[47]  Jackie Parkes,et al.  Validity of a 1 minute walk test for children with cerebral palsy. , 2005, Developmental medicine and child neurology.

[48]  F. Zajac,et al.  Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. , 2005, Gait & posture.

[49]  Mark Latt,et al.  Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. , 2004, Gait & posture.

[50]  J. Schaechter Motor rehabilitation and brain plasticity after hemiparetic stroke , 2004, Progress in Neurobiology.

[51]  A. Hofman,et al.  Incidence, risk, and case fatality of first ever stroke in the elderly population. The Rotterdam Study , 2003, Journal of neurology, neurosurgery, and psychiatry.

[52]  S. Wood-Dauphinée,et al.  Activity, participation, and quality of life 6 months poststroke. , 2002, Archives of physical medicine and rehabilitation.

[53]  Anne Forster,et al.  Reliability of gait speed measured by a timed walking test in patients one year after stroke , 2002, Clinical rehabilitation.

[54]  M. Batavia,et al.  The validity and reliability of the GAITRite system's measurements: A preliminary evaluation. , 2001, Archives of physical medicine and rehabilitation.

[55]  M. Samson,et al.  Differences in gait parameters at a preferred walking speed in healthy subjects due to age, height and body weight , 2001, Aging.

[56]  Sandra M. Woolley,et al.  Characteristics of Gait in Hemiplegia , 2001, Topics in stroke rehabilitation.

[57]  P. Catlin,et al.  Establishing the reliability and validity of measurements of walking time using the Emory Functional Ambulation Profile. , 1999, Physical therapy.

[58]  Andrew P. Bradley,et al.  The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..

[59]  J. Perry,et al.  Concurrent Validity of Observational Gait Analysis using the Vicon Motion Analysis System , 1996 .

[60]  S. Olney,et al.  Hemiparetic gait following stroke. Part I: Characteristics , 1996 .

[61]  J. Evans Straightforward Statistics for the Behavioral Sciences , 1995 .

[62]  Marjorie H. Woollacott,et al.  Motor Control: Theory and Practical Applications , 1995 .

[63]  S. Simon Gait Analysis, Normal and Pathological Function. , 1993 .

[64]  D E Krebs,et al.  Reliability of observational kinematic gait analysis. , 1985, Physical therapy.

[65]  M P Murray,et al.  COMPARISON OF FREE AND FAST SPEED WALKING PATTERNS OF NORMAL MEN , 1966, American journal of physical medicine.

[66]  Moataz Eltoukhy,et al.  Improved kinect-based spatiotemporal and kinematic treadmill gait assessment. , 2017, Gait & posture.

[67]  Dara Meldrum,et al.  Test-retest reliability of three dimensional gait analysis: including a novel approach to visualising agreement of gait cycle waveforms with Bland and Altman plots. , 2014, Gait & posture.

[68]  T. Hadjistavropoulos,et al.  Evaluation of age-related differences in the stride-to-stride fluctuations, regularity and symmetry of gait using a waist-mounted tri-axial accelerometer. , 2014, Gait & posture.

[69]  J. Ferri,et al.  [Clinical usefulness of the Spanish version of the Mississippi Aphasia Screening Test (MASTsp): validation in stroke patients]. , 2012, Neurologia.

[70]  James McNames,et al.  Mobility Lab to Assess Balance and Gait with Synchronized Body-worn Sensors. , 2011, Journal of bioengineering & biomedical science.

[71]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[72]  Andrew H Hansen,et al.  A simple method for determination of gait events. , 2002, Journal of biomechanics.

[73]  L. Sudarsky,et al.  Gait disorders: prevalence, morbidity, and etiology. , 2001, Advances in neurology.

[74]  D. Wade,et al.  Validity and reliability comparison of 4 mobility measures in patients presenting with neurologic impairment. , 2001, Archives of physical medicine and rehabilitation.

[75]  T. Oberg,et al.  Basic gait parameters: reference data for normal subjects, 10-79 years of age. , 1993, Journal of rehabilitation research and development.

[76]  B. E. Maki,et al.  Measuring balance in the elderly: validation of an instrument. , 1992, Canadian journal of public health = Revue canadienne de sante publique.

[77]  D. Wade,et al.  Mobility after stroke: reliability of measures of impairment and disability. , 1990, International disability studies.