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Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm

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Engineering Applications of Neural Networks (EANN 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1826))

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Abstract

Voice rehabilitation and diseases prediction is required today because neural degeneration or neurological injury alters the motor component of the speech system in the phonation area of the brain. A novel approach to voice rehabilitation consists in predicting the phonetic control by the EMG. In a previous work we demonstrated that the voice-production apparatus (tongue muscle) generates a specific EMG signal that identify the phoneme emitted. The inference paradigm is EFuNN (Evolving Fuzzy Neural Network) trained by the sampled EMG (Electro Myo Gram) signal at phonation-. Time. A phoneme-to-speech non-invasive epidermal patch is to be designed with energy harvestimg and MEMS loudspeakers.

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Author information

Authors and Affiliations

  1. Computer Science Department, Università Degli Studi Di Milano, Milano, Italy

    Mario Malcangi

  2. Department of Heath Science, Università Degli Studi Di Milano, Milano, Italy

    Giovanni Felisati & Alberto Saibene

  3. IRCCS Mondino Foundation, Pavia, Italy

    Enrico Alfonsi & Mauro Fresia

  4. MRS srl Cazzaniga, Bergamo, Italy

    Pasquale Cambiaghi

Authors
  1. Mario Malcangi
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  2. Giovanni Felisati
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  3. Alberto Saibene
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  4. Enrico Alfonsi
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  5. Mauro Fresia
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  6. Pasquale Cambiaghi
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Corresponding author

Correspondence to Mario Malcangi .

Editor information

Editors and Affiliations

  1. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  2. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  3. University of Leon, León, Spain

    Serafin Alonso

  4. Teesside University, Middlesbrough, UK

    Chrisina Jayne

  5. University of the West of England, Bristol, UK

    Elias Pimenidis

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Malcangi, M., Felisati, G., Saibene, A., Alfonsi, E., Fresia, M., Cambiaghi, P. (2023). Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_3

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  • DOI: https://doi.org/10.1007/978-3-031-34204-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34203-5

  • Online ISBN: 978-3-031-34204-2

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