Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20890, first published .
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

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

Journals

  1. Barreira-Nielsen C, Campos L. Implementação do modelo híbrido da teleaudiologia: aceitação, viabilidade e satisfação em um programa de implante coclear. Audiology - Communication Research 2022;27 View
  2. Ratnanather J, Wang L, Bae S, O'Neill E, Sagi E, Tward D. Visualization of Speech Perception Analysis via Phoneme Alignment: A Pilot Study. Frontiers in Neurology 2022;12 View
  3. English K. Guidance on Providing Patient-Centered Care. Seminars in Hearing 2022;43(02):099 View
  4. Barreira-Nielsen C, Campos L. Implementation of the hybrid teleaudiology model: acceptance, feasibility and satisfaction in a cochlear implant program. Audiology - Communication Research 2022;27 View
  5. Kim N, Nakamura K. Digital Therapeutics in Hearing Healthcare: Evidence-Based Review. Journal of Audiology and Otology 2024;28(3):159 View
  6. Jat A, Grønli T, Ghinea G. Navigating Design Science Research in mHealth Applications: A Guide to Best Practices. IEEE Transactions on Engineering Management 2024;71:14472 View
  7. Gnadlinger F, Werminghaus M, Selmanagić A, Filla T, Richter J, Kriglstein S, Klenzner T. Incorporating an Intelligent Tutoring System Into a Game-Based Auditory Rehabilitation Training for Adult Cochlear Implant Recipients: Algorithm Development and Validation. JMIR Serious Games 2024;12:e55231 View

Conference Proceedings

  1. Singh M, Panwar S, Choudhary S, Ojha P. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Textual Conversational Sentiment Analysis in Deep Learning using capsule network View