Development Trends of Online-based Aural Rehabilitation Programs for Children with Cochlear Implant Coping with the Fourth Industrial Revolution and Implication in Speech-Language Pathology

Byeon, Haewon

doi:10.14569/ijacsa.2019.0101005

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…For instance, in the United States, public insurance programs such as Medicare and Medicaid provide insufficient funding to cover the cost of AT [9]. In Korea, children up to 19 years of age may receive AT, but adults are not covered by national health insurance [10]. In the United Kingdom, a lack of AT coverage can leave adult cochlear implant recipients without access to regular sessions outside of annual or semiannual mapping appointments [11,12].…”

Section: Introductionmentioning

confidence: 99%

An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study

Ratnanather¹,

Bhattacharya²,

Heston³

et al. 2021

JMIR Mhealth Uhealth

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Background With the growing adult population using electronic hearing devices such as cochlear implants or hearing aids, there is an increasing worldwide need for auditory training (AT) to promote optimal device use. However, financial resources and scheduling conflicts make clinical AT infeasible. Objective To address this gap between need and accessibility, we primarily aimed to develop a mobile health (mHealth) app called Speech Banana for AT. The app would be substantially more affordable and portable than clinical AT; would deliver a validated training model that is reflective of modern techniques; and would track users’ progress in speech comprehension, providing greater continuity between periodic in-person visits. To improve international availability, our secondary aim was to implement the English language training model into Korean as a proof of concept for worldwide usability. Methods A problem- and objective-centered Design Science Research Methodology approach was adopted to develop the Speech Banana app. A review of previous literature and computer-based learning programs outlined current AT gaps, whereas interviews with speech pathologists and users clarified the features that were addressed in the app. Past and present users were invited to evaluate the app via community forums and the System Usability Scale. Results Speech Banana has been implemented in English and Korean languages for iPad and web use. The app comprises 38 lessons, which include analytic exercises pairing visual and auditory stimuli, and synthetic quizzes presenting auditory stimuli only. During quizzes, users type the sentence heard, and the app provides visual feedback on performance. Users may select a male or female speaker and the volume of background noise, allowing for training with a range of frequencies and signal-to-noise ratios. There were more than 3200 downloads of the English iPad app and almost 100 downloads of the Korean app; more than 100 users registered for the web apps. The English app received a System Usability Scale rating of “good” from 6 users, and the Korean app received a rating of “OK” from 16 users. Conclusions Speech Banana offers AT accessibility with a validated curriculum, allowing users to develop speech comprehension skills with the aid of a mobile device. This mHealth app holds potential as a supplement to clinical AT, particularly in this era of global telemedicine.

show abstract

Section: Introductionmentioning

confidence: 99%

An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study

Ratnanather¹,

Bhattacharya²,

Heston³

et al. 2021

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…The ear consists of the external ear, the middle ear, and the internal ear, and the cochlear implantation refers to an operation of implanting an artificial cochlea device in the ear of the patient who cannot hear voice due to the damage of the cochlea to help the patient hear speech [1]. Cochlear implants provide useful hearing for children with severe hearing difficulties or deaf children who cannot hear speech even with hearing aids [2,3]. Many children with hearing impairments have benefited greatly from cochlear implants (CI) for enhancing their hearing ability and developing language ability [4].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Accuracy of Models for Predicting the Speech Acceptability for Children with Cochlear Implants

Byeon¹

2021

IJACSA

Self Cite

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This study developed a model for predicting healthy hearing people's speech acceptability for children with cochlear implants using multiple regression analysis, support vector regression, and random forest and evaluated the prediction performance of the model by comparing mean absolute errors and root mean squared errors. This study targeted 91 hearing-impaired children between four and eight years old who had worn cochlear implants at least one year and less than five years. Speech data of children wearing cochlear implants (CI) were collected through two tasks: speaking and reading. The outcome variable, healthy hearing people's speech acceptability for children wearing CI was evaluated by 80 college students (freshman and sophomore) who did not have prior knowledge of children with a cochlear implant. The results of this study showed that the random forest algorithm (mean absolute errors=0.81and root mean squared error=0.108) was the best model for predicting the speech acceptability of children wearing CI. The results of this study imply that the predictive performance of random forest will be the best among ensemble models when developing a machine learning model using speech data of children wearing CI.

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An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study (Preprint)

Ratnanather¹,

Bhattacharya²,

Heston³

et al. 2020

Preprint

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BACKGROUND With the growing adult population using electronic hearing devices such as cochlear implants or hearing aids, there is an increasing worldwide need for auditory training (AT) to promote optimal device use. However, financial resources and scheduling conflicts make clinical AT infeasible. OBJECTIVE To address this gap between need and accessibility, we primarily aimed to develop a mobile health (mHealth) app called Speech Banana for AT. The app would be substantially more affordable and portable than clinical AT; would deliver a validated training model that is reflective of modern techniques; and would track users’ progress in speech comprehension, providing greater continuity between periodic in-person visits. To improve international availability, our secondary aim was to implement the English language training model into Korean as a proof of concept for worldwide usability. METHODS A problem- and objective-centered Design Science Research Methodology approach was adopted to develop the Speech Banana app. A review of previous literature and computer-based learning programs outlined current AT gaps, whereas interviews with speech pathologists and users clarified the features that were addressed in the app. Past and present users were invited to evaluate the app via community forums and the System Usability Scale. RESULTS Speech Banana has been implemented in English and Korean languages for iPad and web use. The app comprises 38 lessons, which include analytic exercises pairing visual and auditory stimuli, and synthetic quizzes presenting auditory stimuli only. During quizzes, users type the sentence heard, and the app provides visual feedback on performance. Users may select a male or female speaker and the volume of background noise, allowing for training with a range of frequencies and signal-to-noise ratios. There were more than 3200 downloads of the English iPad app and almost 100 downloads of the Korean app; more than 100 users registered for the web apps. The English app received a System Usability Scale rating of “good” from 6 users, and the Korean app received a rating of “OK” from 16 users. CONCLUSIONS Speech Banana offers AT accessibility with a validated curriculum, allowing users to develop speech comprehension skills with the aid of a mobile device. This mHealth app holds potential as a supplement to clinical AT, particularly in this era of global telemedicine.

show abstract

Development Trends of Online-based Aural Rehabilitation Programs for Children with Cochlear Implant Coping with the Fourth Industrial Revolution and Implication in Speech-Language Pathology

Cited by 3 publications

References 17 publications

An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study

An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study

Evaluating the Accuracy of Models for Predicting the Speech Acceptability for Children with Cochlear Implants

An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study (Preprint)

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