Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke
暂无分享,去创建一个
[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.