Wearables for ML applications in health monitoring: a review of technologies and approaches

Autor: Zovko, Kristina, Šerić, Ljiljana, Šolić, Petar, Perković, Toni, Belani, Hrvoje
Přispěvatelé: Šolić, Petar, Nižetić, Sandro, Rodrigues, Joel J. P. C., López-de-Ipiña González-de-Artaza, Diego, Perković, Toni, Catarinucci, Luca, Patrono, Luigi
Rok vydání: 2022
Předmět:
Zdroj: 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech).
DOI: 10.23919/splitech55088.2022.9854216
Popis: In this paper, state-of-the-art wearable devices and related sensors that these devices use for non-invasive human health monitoring are analysed. The focus of the given device analysis is to describe which data is acquired for AI applications estimating human health status. This way, given analysis, provides the vertical from the sensor itself to its final applications that state-of-the-art work presents.
Databáze: OpenAIRE