Literature DB >> 29643774

Corrigendum: The Reality of Myoelectric Prostheses: Understanding What Makes These Devices Difficult for Some Users to Control.

Alix Chadwell1, Laurence Kenney1, Sibylle Thies1, Adam Galpin1, John Head1.   

Abstract

[This corrects the article on p. 7 in vol. 10, PMID: 27597823.].

Entities:  

Keywords:  activity monitoring; control; functionality assessment; myoelectric; prosthesis; upper limb

Year:  2018        PMID: 29643774      PMCID: PMC5892137          DOI: 10.3389/fnbot.2018.00015

Source DB:  PubMed          Journal:  Front Neurorobot        ISSN: 1662-5218            Impact factor:   2.650


In the original article, there was an error. The equation for the Magnitude Ratio presented in the Methods and Analysis was incorrect and should be written ln(VM/VM). A correction has been made to Methods and Analysis, Everyday usage (Section 2.4), paragraph 1: Current methods of quantifying everyday prosthesis use involve self-report (Roeschlein and Domholdt, 1989; Sherman, 1999; Gallagher and MacLachlan, 2000; Raichle et al., 2008), which is known to be prone to recall and bias errors (Metcalf et al., 2007; Brown and Werner, 2008). Accelerometer-based activity monitoring (Noorkõiv et al., 2014) provides an opportunity to observe actual prosthesis use outside of the clinical environment; however, to date no studies have been published on a cohort of upper limb prosthesis users. We have adapted a protocol developed for stroke patients (Bailey et al., 2015). This research involved participants wearing an activity monitor (Actigraph GT3X+) on each of their wrists while they went about their normal daily activities. The Actigraph monitors provide continuous logging of raw accelerometer data (sampled at 30 Hz). The data are downloaded using proprietary software, filtered, and down sampled to 1 Hz. The processed data are expressed as activity counts (0.001664 g/count) (Actigraph Corp., 2015), which are converted into vector magnitudes (sum of the counts along each axis ). For each second of data, Bailey et al. (2015) combined the vector magnitudes from each of the two wrist worn monitors (dominant and non-dominant arm) to inform on the magnitude of activity across both arms, expressed as the “bilateral magnitude” (VM + VM), and the contribution of each arm to the activity, expressed as the “magnitude ratio” [ln(VM/VM)]. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  7 in total

1.  Utilization of prostheses among US veterans with traumatic amputation: a pilot survey.

Authors:  R A Sherman
Journal:  J Rehabil Res Dev       Date:  1999-04

Review 2.  A review of clinical upper limb assessments within the framework of the WHO ICF.

Authors:  Cheryl Metcalf; Jo Adams; Jane Burridge; Victoria Yule; Paul Chappell
Journal:  Musculoskeletal Care       Date:  2007-09

3.  Factors related to successful upper extremity prosthetic use.

Authors:  R A Roeschlein; E Domholdt
Journal:  Prosthet Orthot Int       Date:  1989-04       Impact factor: 1.895

4.  Prosthesis use in persons with lower- and upper-limb amputation.

Authors:  Katherine A Raichle; Marisol A Hanley; Ivan Molton; Nancy J Kadel; Kellye Campbell; Emily Phelps; Dawn Ehde; Douglas G Smith
Journal:  J Rehabil Res Dev       Date:  2008

5.  Using accelerometer feedback to identify walking destinations, activity overestimates, and stealth exercise in obese and nonobese individuals.

Authors:  Barbara B Brown; Carol M Werner
Journal:  J Phys Act Health       Date:  2008-11

6.  Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke.

Authors:  Ryan R Bailey; Joseph W Klaesner; Catherine E Lang
Journal:  Neurorehabil Neural Repair       Date:  2015-04-20       Impact factor: 4.895

Review 7.  Accelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies.

Authors:  Marika Noorkõiv; Helen Rodgers; Christopher I Price
Journal:  J Neuroeng Rehabil       Date:  2014-10-09       Impact factor: 4.262

  7 in total

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