Literature DB >> 25570504

Evaluation of upper extremity movement characteristics during standardized pediatric functional assessment with a Kinect®-based markerless motion analysis system.

Jacob R Rammer, Joseph J Krzak, Susan A Riedel, Gerald F Harris.   

Abstract

A recently developed and evaluated upper extremity (UE) markerless motion analysis system based on the Microsoft® Kinect® has potential for improving functional assessment of patients with hemiplegic cerebral palsy. 12 typically-developing adolescents ages 12-17 were evaluated using both the Kinect-based system and the Shriners Hospitals for Children Upper Extremity Evaluation (SHUEE), a validated measure of UE motion. The study established population means of UE kinematic parameters for each activity. Statistical correlation analysis was used to identify key kinematic metrics used to develop automatic scoring algorithms. The Kinect motion analysis platform is technically sound and can be applied to standardized task-based UE evaluation while providing enhanced sensitivity in clinical analysis and automation through scoring algorithms.

Entities:  

Mesh:

Year:  2014        PMID: 25570504      PMCID: PMC4479272          DOI: 10.1109/EMBC.2014.6944136

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace.

Authors:  Tilak Dutta
Journal:  Appl Ergon       Date:  2011-10-20       Impact factor: 3.661

2.  Validation of the Shriners Hospital for Children Upper Extremity Evaluation (SHUEE) for children with hemiplegic cerebral palsy.

Authors:  Jon R Davids; Laura C Peace; Lisa V Wagner; Mary Ann Gidewall; Dawn W Blackhurst; W Matthew Roberson
Journal:  J Bone Joint Surg Am       Date:  2006-02       Impact factor: 5.284

3.  Motion capture of the upper extremity during activities of daily living in patients with spastic hemiplegic cerebral palsy.

Authors:  M C M Klotz; L Kost; F Braatz; V Ewerbeck; D Heitzmann; S Gantz; T Dreher; S I Wolf
Journal:  Gait Posture       Date:  2012-12-04       Impact factor: 2.840

  3 in total
  5 in total

1.  Kinect-based assessment of proximal arm non-use after a stroke.

Authors:  K K A Bakhti; I Laffont; M Muthalib; J Froger; D Mottet
Journal:  J Neuroeng Rehabil       Date:  2018-11-14       Impact factor: 4.262

2.  Assessment of a markerless motion analysis system for manual wheelchair application.

Authors:  Jacob Rammer; Brooke Slavens; Joseph Krzak; Jack Winters; Susan Riedel; Gerald Harris
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

3.  An Assessment of the Applicability of Shriners Hospital Upper Extremity Evaluation as a Decision-making Tool and Outcome Measure in Upper Limb Cerebral Palsy in Indian Children.

Authors:  Praveen Samuel Jose; Veerappa Nagarathnam Radhakrishna; Bibhudutta Sahoo; Vrisha Madhuri
Journal:  Indian J Orthop       Date:  2019 Jan-Feb       Impact factor: 1.251

Review 4.  Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.

Authors:  Ciro Mennella; Susanna Alloisio; Antonio Novellino; Federica Viti
Journal:  Sensors (Basel)       Date:  2021-12-28       Impact factor: 3.576

5.  Statistical Validation for Clinical Measures: Repeatability and Agreement of Kinect™-Based Software.

Authors:  Natalia Lopez; Elisa Perez; Emanuel Tello; Alejandro Rodrigo; Max E Valentinuzzi
Journal:  Biomed Res Int       Date:  2018-03-20       Impact factor: 3.411

  5 in total

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