A Spiking Neural Network for Non-Invasive Glucose Estimation on Wearable Bioimpedance Biosensors, with a Multiplication-Free Neuromorphic Path

Matheus Willian Sprotte, Pedro Bertemes Filho

Open source

DOI: 10.3390/bios16090469
Published: 2026-08-27
Container: Biosensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/bios16090469,
  title = {A Spiking Neural Network for Non-Invasive Glucose Estimation on Wearable Bioimpedance Biosensors, with a Multiplication-Free Neuromorphic Path},
  author = {Matheus Willian Sprotte and Pedro Bertemes Filho},
  year = {2026},
  journal = {Biosensors},
  doi = {10.3390/bios16090469},
  url = {https://doi.org/10.3390/bios16090469}
}

RIS

TY  - JOUR
TI  - A Spiking Neural Network for Non-Invasive Glucose Estimation on Wearable Bioimpedance Biosensors, with a Multiplication-Free Neuromorphic Path
AU  - Matheus Willian Sprotte
AU  - Pedro Bertemes Filho
PY  - 2026
JO  - Biosensors
DO  - 10.3390/bios16090469
UR  - https://doi.org/10.3390/bios16090469
ER  -

APA

Sprotte, M. W., & Filho, P. B. (2026). A Spiking Neural Network for Non-Invasive Glucose Estimation on Wearable Bioimpedance Biosensors, with a Multiplication-Free Neuromorphic Path. Biosensors. https://doi.org/10.3390/bios16090469

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crossref · retrieved 2026-09-25T06:55:50.252Z