Literature DB >> 17894279

Optimizing assisted communication devices for Children with motor impairments using a model of information rate and channel capacity.

Terence D Sanger1, Juliet Henderson.   

Abstract

For children who depend on devices to communicate, the rate of communication is a primary determinant of success. For children with motor impairments, the rate of communication may be limited by inability to contact buttons or cells rapidly or accurately. It is, therefore, essential to know how to adjust the device interface in order to maximize each child's rate of communication. The optimal rate of communication is determined by the channel capacity, which is the maximum value of the information rate for all possible keyboard button or cell layouts for the communication device. We construct a mathematical model for the information rate based on the relationship between movement time and the number of buttons per screen, the size of the buttons, and the length of a sequence of buttons that must be pressed to communicate each word in the vocabulary. We measure the parameters of the model using a custom-programmed touchscreen interface in 10 children with disorders of arm movement due to cerebral palsy who use a DynaVox communication device. We measure the same parameters in 20 healthy control subjects. We show that the model approximates the measured information rate and that the information rate is lower in children with motor impairments compared with control subjects. The theory predicts that for each child there is a combination of button size and number that maximizes the predicted information rate and thereby achieves communication at the optimal channel capacity. Programming communication devices with each child's predicted optimal parameters improved the communication rate in five of the ten children, compared with programming by professionals. Therefore, measurement of information rate may provide an assessment of the effect of motor disorders on success in assisted communication. Optimization of the information rate may be useful for programming assisted communication devices.

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Year:  2007        PMID: 17894279     DOI: 10.1109/TNSRE.2007.903969

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  8 in total

Review 1.  Current and emerging strategies for treatment of childhood dystonia.

Authors:  Matteo Bertucco; Terence D Sanger
Journal:  J Hand Ther       Date:  2014-11-15       Impact factor: 1.950

2.  A Model to Estimate the Optimal Layout for Assistive Communication Touchscreen Devices in Children With Dyskinetic Cerebral Palsy.

Authors:  Matteo Bertucco; Terence D Sanger
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-07       Impact factor: 3.802

Review 3.  Communication, interventions, and scientific advances in autism: a commentary.

Authors:  Danielle C Llaneza; Susan V DeLuke; Myra Batista; Jacqueline N Crawley; Kristin V Christodulu; Cheryl A Frye
Journal:  Physiol Behav       Date:  2010-01-21

4.  Speed-accuracy testing on the Apple iPad provides a quantitative test of upper extremity motor performance in children with dystonia.

Authors:  Matteo Bertucco; Terence D Sanger
Journal:  J Child Neurol       Date:  2013-08-21       Impact factor: 1.987

Review 5.  Alternative communication systems for people with severe motor disabilities: a survey.

Authors:  Carlos G Pinheiro; Eduardo L M Naves; Pierre Pino; Etienne Losson; Adriano O Andrade; Guy Bourhis
Journal:  Biomed Eng Online       Date:  2011-04-20       Impact factor: 2.819

6.  Vowel generation for children with cerebral palsy using myocontrol of a speech synthesizer.

Authors:  Chuanxin M Niu; Kangwoo Lee; John F Houde; Terence D Sanger
Journal:  Front Hum Neurosci       Date:  2015-01-22       Impact factor: 3.169

7.  Can spatial filtering separate voluntary and involuntary components in children with dyskinetic cerebral palsy?

Authors:  Cassie N Borish; Matteo Bertucco; Denise J Berger; Andrea d'Avella; Terence D Sanger
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

8.  Perceived Cost and Intrinsic Motor Variability Modulate the Speed-Accuracy Trade-Off.

Authors:  Matteo Bertucco; Nasir H Bhanpuri; Terence D Sanger
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

  8 in total

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