Validity, Reliability, and Sensitivity of a 3D Vision Sensor-based Upper Extremity Reachable Workspace Evaluation in Neuromuscular Diseases

Introduction: One of the major challenges in the neuromuscular field has been lack of upper extremity outcome measures that can be useful for clinical therapeutic efficacy studies. Using vision-based sensor system and customized software, 3-dimensional (3D) upper extremity motion analysis can reconstruct a reachable workspace as a valid, reliable and sensitive outcome measure in various neuromuscular conditions where proximal upper extremity range of motion and function is impaired. Methods: Using a stereo-camera sensor system, 3D reachable workspace envelope surface area normalized to an individual’s arm length (relative surface area: RSA) to allow comparison between subjects was determined for 20 healthy controls and 9 individuals with varying degrees of upper extremity dysfunction due to neuromuscular conditions. All study subjects were classified based on Brooke upper extremity function scale. Right and left upper extremity reachable workspaces were determined based on three repeated measures. The RSAs for each frontal hemi-sphere quadrant and total reachable workspaces were determined with and without loading condition (500 gram wrist weight). Data were analyzed for assessment of the developed system and validity, reliability, and sensitivity to change of the reachable workspace outcome. Results: The mean total RSAs of the reachable workspace for the healthy controls and individuals with NMD were significantly different (0.586 ± 0.085 and 0.299 ± 0.198 respectively; p<0.001). All quadrant RSAs were reduced for individuals with NMDs compared to the healthy controls and these reductions correlated with reduced upper limb function as measured by Brooke grade. The upper quadrants of reachable workspace (above the shoulder level) demonstrated greatest reductions in RSA among subjects with progressive severity in upper extremity impairment. Evaluation of the developed outcomes system with the Bland-Altman method demonstrated narrow 95% limits of agreement (LOA) around zero indicating high reliability. In addition, the intraclass correlation coefficient (ICC) was 0.97. Comparison of the reachable workspace with and without loading condition (wrist weight) showed significantly greater RSA reduction in the NMD group than the control group (p<0.012), with most of the workspace reduction occurring in the ipsilateral upper quadrant relative to the tested arm (p<0.001). Reduction in reachable workspace due to wrist weight was most notable in those subjects with NMD with marginal strength reserve and moderate degree of impairment (Brooke = 2) rather than individuals with mild upper extremity impairment (Brooke = 1) or individuals who were more severely impaired (Brooke =3). Discussion: The developed reachable workspace evaluation method using scalable 3D vision technology appears promising as an outcome measure system for clinical studies. A rationally-designed combination of upper extremity outcome measures including a region-specific global upper extremity outcome measure, such as the reachable workspace, complemented by targeted disease- or function-specific endpoints, may be optimal for future clinical efficacy trials.

[1]  R. H. Jebsen,et al.  An objective and standardized test of hand function. , 1969, Archives of physical medicine and rehabilitation.

[2]  M. Province,et al.  Reliability of goniometric measurements in patients with Duchenne muscular dystrophy. , 1985, Physical therapy.

[3]  W. Stuberg,et al.  Reliability of quantitative muscle testing in healthy children and in children with Duchenne muscular dystrophy using a hand-held dynamometer. , 1988, Physical therapy.

[4]  L. Hiller,et al.  Upper extremity functional assessment scales in children with Duchenne muscular dystrophy: a comparison. , 1992, Archives of physical medicine and rehabilitation.

[5]  James G Wright,et al.  Erratum: Development of an upper extremity outcome measure: The DASH (Disabilities of the Arm, Shoulder, and Hand) (American Journal of Industrial Medicine (1996) 29:6 (602-608)) , 1996 .

[6]  C Disselhorst-Klug,et al.  A marker-based measurement procedure for unconstrained wrist and elbow motions. , 1999, Journal of biomechanics.

[7]  James G Wright,et al.  Measuring disability of the upper extremity: a rationale supporting the use of a regional outcome measure. , 1999, Journal of hand therapy : official journal of the American Society of Hand Therapists.

[8]  Clark C. Presson,et al.  Normative and Validation Studies of the Nine-Hole Peg Test with Children , 2000, Perceptual and motor skills.

[9]  Jadran Lenarčič,et al.  Kinematic Model for Determination of Human Arm Reachable Workspace , 2005 .

[10]  N Klopcar,et al.  A kinematic model of the shoulder complex to evaluate the arm-reachable workspace. , 2007, Journal of biomechanics.

[11]  F. Muntoni The development of antisense oligonucleotide therapies for Duchenne muscular dystrophy: Report on a TREAT-NMD workshop hosted by the European Medicines Agency (EMA), on September 25th 2009 , 2010, Neuromuscular Disorders.

[12]  K. Bushby,et al.  Clinical outcome measures for trials in Duchenne muscular dystrophy: report from International Working Group meetings. , 2011, Clinical investigation.

[13]  Marjorie Skubic,et al.  Evaluation of an inexpensive depth camera for in-home gait assessment , 2011, J. Ambient Intell. Smart Environ..

[14]  H. Stam,et al.  Upper limb function in adults with Duchenne muscular dystrophy. , 2011, Journal of rehabilitation medicine.

[15]  Ruzena Bajcsy,et al.  Development and Application of Stereo Camera-Based Upper Extremity Workspace Evaluation in Patients with Neuromuscular Diseases , 2012, PloS one.

[16]  Linda Denehy,et al.  Validity of the Microsoft Kinect for assessment of postural control. , 2012, Gait & posture.

[17]  Stepán Obdrzálek,et al.  Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[18]  E. Mazzone,et al.  A critical review of functional assessment tools for upper limbs in Duchenne muscular dystrophy , 2012, Developmental medicine and child neurology.

[19]  Albert A. Rizzo,et al.  Towards pervasive physical rehabilitation using Microsoft Kinect , 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[20]  Stepán Obdrzálek,et al.  Upper Extremity Reachable Workspace Evaluation with Kinect , 2013, MMVR.

[21]  Lise Worthen-Chaudhari,et al.  Proof of Concept of the Ability of the Kinect to Quantify Upper Extremity Function in Dystrophinopathy , 2013, PLoS currents.