Literature DB >> 16040474

Assessment of capacity for myoelectric control: a new Rasch-built measure of prosthetic hand control.

Liselotte M Hermansson1, Anne G Fisher, Birgitta Bernspång, Ann-Christin Eliasson.   

Abstract

OBJECTIVE: To report the results from a Rasch rating scale analysis of the Assessment of Capacity for Myoelectric Control (ACMC) implemented to evaluate internal scale validity, person response validity, separation reliability, targeting and responsiveness of the measures over time.
DESIGN: Longitudinal data (18 months) from a prospective study of development of capacity for myoelectric control in children and adults were used for the analysis. PATIENTS: A consecutive sample of 75 subjects (43 males, 32 females) with upper limb reduction deficiency or amputation and myoelectric prosthetic hands referred for occupational therapy from September 2000 to March 2002. Participants' ages ranged from 2 to 57 years.
METHODS: Outcome measure was the ACMC. Occupational therapists completed 210 assessments at an arm prosthesis centre in Sweden. A two-faceted rating scale analysis of the data was performed.
RESULTS: All 30 ACMC items and 96.2% of participants demonstrated goodness-of-fit to the rating scale model for the ACMC. Separation and SE values suggested adequate reliability of the item and person estimates.
CONCLUSION: The items demonstrated internal scale validity and the participants demonstrated person response validity. The ACMC was well targeted and sensitive enough to detect expected change in ability.

Entities:  

Mesh:

Year:  2005        PMID: 16040474     DOI: 10.1080/16501970410024280

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  14 in total

1.  Sensory feedback by peripheral nerve stimulation improves task performance in individuals with upper limb loss using a myoelectric prosthesis.

Authors:  Matthew Schiefer; Daniel Tan; Steven M Sidek; Dustin J Tyler
Journal:  J Neural Eng       Date:  2015-12-08       Impact factor: 5.379

Review 2.  Neuroprosthetics and the science of patient input.

Authors:  Heather L Benz; Eugene F Civillico
Journal:  Exp Neurol       Date:  2016-07-22       Impact factor: 5.330

3.  Patient training for functional use of pattern recognition-controlled prostheses.

Authors:  Ann M Simon; Blair A Lock; Kathy A Stubblefield
Journal:  J Prosthet Orthot       Date:  2012-04

4.  An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject.

Authors:  Enzo Mastinu; Johan Ahlberg; Eva Lendaro; Liselotte Hermansson; Bo Hakansson; Max Ortiz-Catalan
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-12       Impact factor: 3.316

Review 5.  Evaluation of Performance-Based Outcome Measures for the Upper Limb: A Comprehensive Narrative Review.

Authors:  Sophie Wang; C Janice Hsu; Lauren Trent; Tiffany Ryan; Nathan T Kearns; Eugene F Civillico; Kimberly L Kontson
Journal:  PM R       Date:  2018-02-21       Impact factor: 2.298

6.  Flexible and static wrist units in upper limb prosthesis users: functionality scores, user satisfaction and compensatory movements.

Authors:  M Deijs; R M Bongers; N D M Ringeling-van Leusen; C K van der Sluis
Journal:  J Neuroeng Rehabil       Date:  2016-03-15       Impact factor: 4.262

7.  Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial.

Authors:  Levi J Hargrove; Laura A Miller; Kristi Turner; Todd A Kuiken
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

8.  Translating Research on Myoelectric Control into Clinics-Are the Performance Assessment Methods Adequate?

Authors:  Ivan Vujaklija; Aidan D Roche; Timothy Hasenoehrl; Agnes Sturma; Sebastian Amsuess; Dario Farina; Oskar C Aszmann
Journal:  Front Neurorobot       Date:  2017-02-14       Impact factor: 2.650

9.  Assessing the quality of supplementary sensory feedback using the crossmodal congruency task.

Authors:  Daniel Blustein; Adam Wilson; Jon Sensinger
Journal:  Sci Rep       Date:  2018-04-18       Impact factor: 4.379

10.  Upper-Limb Prosthetic Myocontrol: Two Recommendations.

Authors:  Claudio Castellini; Raoul M Bongers; Markus Nowak; Corry K van der Sluis
Journal:  Front Neurosci       Date:  2016-01-06       Impact factor: 4.677

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