Evidence map›Paper›PMID 26924895›Full record

ArticleInteracting with computers2016

Effect of age on human-computer-interface control via neck electromyography.

Gabrielle L Hands, Cara E Stepp

Abstract read
In one paragraph

Article in Interacting with computers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Gabrielle L HandsDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA.
Cara E SteppDepartment of Speech, Language, and Hearing Sciences, Boston University, Boston, MA; Department of Biomedical Engineering, Boston University, Boston, MA.
Boston University · US

Funding

Boston University Clinical and Translational Science Award (CTSA) Program KL2KL2TR000158 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2012 to 2013
$749k
NCATS NIH HHS KL2 TR000158
6 · The paper itself

Abstract

The purpose of this study was to determine the effect of age on visuomotor tracking using submental and anterior neck surface electromyography (sEMG) to assess feasibility of computer control via neck musculature, which allows people with little remaining motor function to interact with computers. Thirty-two healthy adults participated: sixteen younger adults aged 18 - 29 years and sixteen older adults aged 69 - 85 years. Participants modulated sEMG to achieve targets presented at different amplitudes using real-time visual feedback. Root-mean-squared (RMS) error was used to quantify tracking performance. RMS error was increased for older adults relative to younger adults. Older adults demonstrated more RMS error than younger adults as a function of increasing target amplitude. The differential effects of age found on static tracking performance in anterior neck musculature suggest more difficult translation of human-computer-interfaces controlled using anterior neck musculature for static tasks to older populations.

Indexed as

accessibilityageassistive technologiesnovel interaction paradigms

Identifiers

PMID26924895
PMCPMC4764133
OpenAlexW2041475251

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.