Literature DB >> 22275548

Using an embedded reality approach to improve test reliability for NHPT tasks.

M Bowler1, F Amirabdollahian, K Dautenhahn.   

Abstract

Research into the use of haptic and virtual reality technologies has increased greatly over the past decade, in terms of both quality and quantity. Methods to utilise haptic and virtual technologies with currently existing techniques for assessing impairment are underway, and, due to the commercially available equipment, has found some success in the use of these methods for individuals who suffer upper limb impairment. This paper uses the clinically validated assessment technique for measuring motor impairment: the Nine Hole Peg Test and creates three tasks with different levels of realism. The efficacy of these tasks is discussed with particular attention paid to analysis in terms of removing factors that limit a virtual environment's use in a clinical setting, such as inter-subject variation.
© 2011 IEEE

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Year:  2011        PMID: 22275548     DOI: 10.1109/ICORR.2011.5975343

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  5 in total

1.  Haptic-based neurorehabilitation in poststroke patients: a feasibility prospective multicentre trial for robotics hand rehabilitation.

Authors:  Andrea Turolla; Omar A Daud Albasini; Roberto Oboe; Michela Agostini; Paolo Tonin; Stefano Paolucci; Giorgio Sandrini; Annalena Venneri; Lamberto Piron
Journal:  Comput Math Methods Med       Date:  2013-11-12       Impact factor: 2.238

2.  Adaptive training algorithm for robot-assisted upper-arm rehabilitation, applicable to individualised and therapeutic human-robot interaction.

Authors:  Radhika Chemuturi; Farshid Amirabdollahian; Kerstin Dautenhahn
Journal:  J Neuroeng Rehabil       Date:  2013-09-28       Impact factor: 4.262

3.  End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke.

Authors:  Netha Hussain; Katharina S Sunnerhagen; Margit Alt Murphy
Journal:  J Neuroeng Rehabil       Date:  2019-07-01       Impact factor: 4.262

4.  Fine Motor Assessment in Upper Extremity Using Custom-Made Electronic Pegboard Test.

Authors:  K Aneesha Acharya; Somashekara Bhat; M Kanthi; Bhamini Krishna Rao
Journal:  J Med Signals Sens       Date:  2021-12-28

5.  Concurrent validity and test-retest reliability of the Virtual Peg Insertion Test to quantify upper limb function in patients with chronic stroke.

Authors:  Bernadette C Tobler-Ammann; Eling D de Bruin; Marie-Christine Fluet; Olivier Lambercy; Rob A de Bie; Ruud H Knols
Journal:  J Neuroeng Rehabil       Date:  2016-01-22       Impact factor: 4.262

  5 in total

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