Concurrent validity and reliability of a novel wireless inertial measurement system to assess trunk movement.

INTRODUCTION Assessment of movement dysfunctions commonly comprises trunk range of motion (ROM), movement or control impairment (MCI), repetitive movements (RM), and reposition error (RE). Inertial measurement unit (IMU)-systems could be used to quantify these movement dysfunctions in clinical settings. The aim of this study was to evaluate a novel IMU-system when assessing movement dysfunctions in terms of concurrent validity and reliability. METHODS The concurrent validity of the IMU-system was tested against an optoelectronic system with 22 participants. The reliability of 14 movement dysfunction tests were analysed using generalizability theory and coefficient of variation, measuring 24 participants in seven trials on two days. RESULTS The IMU-system provided valid estimates of trunk movement in the primary movement direction when compared to the optoelectronic system. Reliability varied across tests and variables. On average, ROM and RM were more reliable, compared to MCI and RE tests. DISCUSSION When compared to the optoelectronic system, the IMU-system is valid for estimates of trunk movement in the primary movement direction. Four ROM, two MCI, one RM, and one RE test were identified as reliable and should be studied further for inter-subject comparisons and monitoring changes after an intervention.

[1]  G. Kerr,et al.  Falls in Parkinson's disease: Kinematic evidence for impaired head and trunk control , 2010, Movement disorders : official journal of the Movement Disorder Society.

[2]  D. Streiner,et al.  Health Measurement Scales: A practical guide to thier development and use , 1989 .

[3]  Wai-Yin Wong,et al.  Trunk posture monitoring with inertial sensors , 2008, European Spine Journal.

[4]  Dagmar Sternad,et al.  Sensitivity of Smoothness Measures to Movement Duration, Amplitude, and Arrests , 2009, Journal of motor behavior.

[5]  Daniel Imbeau,et al.  Reliability of centre of pressure summary measures of postural steadiness in healthy young adults. , 2008, Gait & posture.

[6]  D. Falla,et al.  Deterministic accessory spinal movement in functional tasks characterizes individuals with low back pain , 2014, Clinical Neurophysiology.

[7]  W. D. De Weerdt,et al.  Clinical tools to measure trunk performance after stroke: a systematic review of the literature , 2007, Clinical rehabilitation.

[8]  C. Terwee,et al.  When to use agreement versus reliability measures. , 2006, Journal of clinical epidemiology.

[9]  Mildred L. Patten,et al.  Measures of Reliability , 2017 .

[10]  E. Domholdt,et al.  Rehabilitation Research: Principles and Applications , 2004 .

[11]  Raymond Y. W. Lee,et al.  Error analysis on spinal motion measurement using skin mounted sensors , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  D. Roetenberg,et al.  Estimating Body Segment Orientation by Applying Inertial and Magnetic Sensing Near Ferromagnetic Materials , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[13]  C L Webber,et al.  Dynamical assessment of physiological systems and states using recurrence plot strategies. , 1994, Journal of applied physiology.

[14]  G. Yamaguchi,et al.  A new technique for determining 3-D joint angles: the tilt/twist method. , 1999, Clinical biomechanics.

[15]  T. Rudy,et al.  The use of splines to calculate jerk for a lifting task involving chronic lower back pain patients , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[16]  Christian Larivière,et al.  Criterion validity and between-day reliability of an inertial-sensor-based trunk postural stability test during unstable sitting. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[17]  Kambiz Saber-Sheikh,et al.  Measurement of lumbar spine range of movement and coupled motion using inertial sensors - a protocol validity study. , 2013, Manual therapy.

[18]  R. Preuss,et al.  Article Title: Reliability of a Measure of Total Lumbar Spine Range of Motion in Individuals with Low Back Pain , 2012 .

[19]  J. Kurths,et al.  Recurrence-plot-based measures of complexity and their application to heart-rate-variability data. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  Shinji Miyazaki,et al.  Comparison of the performance of 3D camera systems , 1995 .

[21]  Lucy E. Dunne,et al.  Wearable Monitoring of Seated Spinal Posture , 2008, IEEE Transactions on Biomedical Circuits and Systems.

[22]  F Prince,et al.  Intrasession reliability of the "center of pressure minus center of mass" variable of postural control in the healthy elderly. , 2000, Archives of physical medicine and rehabilitation.

[23]  S. Sahrmann Diagnosis and Treatment of Movement Impairment Syndromes , 2001 .

[24]  M. Morris,et al.  The reliability of three-dimensional kinematic gait measurements: a systematic review. , 2009, Gait & posture.

[25]  Jan Kool,et al.  Low back pain and postural control, effects of task difficulty on centre of pressure and spinal kinematics. , 2015, Gait & posture.

[26]  Jennifer L Keating,et al.  Comparing lumbo-pelvic kinematics in people with and without back pain: a systematic review and meta-analysis , 2014, BMC Musculoskeletal Disorders.

[27]  E. D. de Bruin,et al.  Reliability of movement control tests in the lumbar spine , 2007, BMC musculoskeletal disorders.

[28]  Mika P. Tarvainen,et al.  Surface EMG and acceleration signals in Parkinson’s disease: feature extraction and cluster analysis , 2008, Medical & Biological Engineering & Computing.

[29]  Man-Sang Wong,et al.  Measurement of Postural Change in Trunk Movements Using Three Sensor Modules , 2009, IEEE Transactions on Instrumentation and Measurement.

[30]  S. Walter,et al.  Sample size and optimal designs for reliability studies. , 1998, Statistics in medicine.

[31]  J. Kool,et al.  Measuring Lumbar Reposition Accuracy in Patients With Unspecific Low Back Pain: Systematic Review and Meta-analysis , 2015, Spine.

[32]  R. D. de Bie,et al.  A tailored exercise program versus general exercise for a subgroup of patients with low back pain and movement control impairment: A randomised controlled trial with one-year follow-up. , 2015, Manual therapy.

[33]  Antonio I Cuesta-Vargas,et al.  The use of inertial sensors system for human motion analysis , 2010, Physical therapy reviews : PTR.

[34]  Jan Kool,et al.  Determination of thoracic and lumbar spinal processes by their percentage position between C7 and the PSIS level , 2013, BMC Research Notes.

[35]  J. Suni,et al.  Retest Repeatability of Motor and Musculoskeletal Fitness Tests for Public Health Monitoring of Adult Populations , 2014 .

[36]  Wai Yin Wong,et al.  Clinical Applications of Sensors for Human Posture and Movement Analysis: A Review , 2007, Prosthetics and orthotics international.

[37]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.