BiomedBench: A Benchmark Suite of TinyML Biomedical Applications for Low-Power Wearables
Editor’s notes: This article introduces BiomedBench, the first benchmark suite specifically designed for evaluating TinyML applied in the context of low-power wearable biomedical devices. BiomedBench represents a valuable step toward reproducible evaluation in wearable TinyML and will serve as a foundational benchmark suite for future research and development in this rapidly growing field. —Theocharis Theocharides, University of Cyprus, Cyprus —Marian Verhelst, KU Leuven, Belgium —Vijay Janapa Reddy, Harvard University, USA —Evgeni Gousev, Qualcomm, USA
Authors
- Denisa-Andreea Constantinescu (ORCID: https://orcid.org/0000-0001-6736-5715)
- Pasquale Davide Schiavone (ORCID: https://orcid.org/0000-0003-2931-0435)
- David Atienza (ORCID: https://orcid.org/0000-0001-9536-4947)
- Miguel Peón-Quirós (ORCID: https://orcid.org/0000-0002-5760-090X)
- Rubén Rodríguez Rodríguez (ORCID: https://orcid.org/0009-0003-1989-1923)
- Dimitrios Samakovlis (ORCID: https://orcid.org/0009-0000-2843-8694)
- Stefano Albini
Institutions
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- IEEE Design and Test
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/mdat.2024.3483034
- Citations
- 4
- Primary Topic
- Green IT and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 0.83
Funders
- National Science Foundation