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Pregled bibliografske jedinice broj: 1210004

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


Zovko, Kristina; Šerić, Ljiljana; Šolić, Petar; Perković, Toni; Belani, Hrvoje
Wearables for ML applications in health monitoring: a review of technologies and approaches // Proceedings of the 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) / Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2022. 9854216, 6 doi:10.23919/SpliTech55088.2022.9854216 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1210004 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Zovko, Kristina ; Šerić, Ljiljana ; Šolić, Petar ; Perković, Toni ; Belani, Hrvoje

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) / Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi - Split : Institute of Electrical and Electronics Engineers (IEEE), 2022

ISBN
978-953-290-116-0

Skup
7th International Conference on Smart and Sustainable Technologies (SpliTech)

Mjesto i datum
Bol, Hrvatska; Split, Hrvatska, 05.07.2022. - 08.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
wearable devices ; non-invasive ; machine learning ; sensors

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Projekti:
UIP-2017-05-4206 - Internet stvari: istraživanja i primjene (IoTRA) (Šolić, Petar, HRZZ - 2017-05) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Kristina Zovko (autor)

Avatar Url Hrvoje Belani (autor)

Avatar Url Toni Perković (autor)

Avatar Url Ljiljana Šerić (autor)

Avatar Url Petar Šolić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org ieeexplore.ieee.org doi.org

Citiraj ovu publikaciju:

Zovko, Kristina; Šerić, Ljiljana; Šolić, Petar; Perković, Toni; Belani, Hrvoje
Wearables for ML applications in health monitoring: a review of technologies and approaches // Proceedings of the 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) / Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2022. 9854216, 6 doi:10.23919/SpliTech55088.2022.9854216 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zovko, K., Šerić, L., Šolić, P., Perković, T. & Belani, H. (2022) Wearables for ML applications in health monitoring: a review of technologies and approaches. U: Šolić, P., Nižetić, S., Rodrigues, J., López-de-Ipiña González-de-Artaza, D., Perković, T., Catarinucci, L. & Patrono, L. (ur.)Proceedings of the 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) doi:10.23919/SpliTech55088.2022.9854216.
@article{article, author = {Zovko, Kristina and \v{S}eri\'{c}, Ljiljana and \v{S}oli\'{c}, Petar and Perkovi\'{c}, Toni and Belani, Hrvoje}, year = {2022}, pages = {6}, DOI = {10.23919/SpliTech55088.2022.9854216}, chapter = {9854216}, keywords = {wearable devices, non-invasive, machine learning, sensors}, doi = {10.23919/SpliTech55088.2022.9854216}, isbn = {978-953-290-116-0}, title = {Wearables for ML applications in health monitoring: a review of technologies and approaches}, keyword = {wearable devices, non-invasive, machine learning, sensors}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Bol, Hrvatska; Split, Hrvatska}, chapternumber = {9854216} }
@article{article, author = {Zovko, Kristina and \v{S}eri\'{c}, Ljiljana and \v{S}oli\'{c}, Petar and Perkovi\'{c}, Toni and Belani, Hrvoje}, year = {2022}, pages = {6}, DOI = {10.23919/SpliTech55088.2022.9854216}, chapter = {9854216}, keywords = {wearable devices, non-invasive, machine learning, sensors}, doi = {10.23919/SpliTech55088.2022.9854216}, isbn = {978-953-290-116-0}, title = {Wearables for ML applications in health monitoring: a review of technologies and approaches}, keyword = {wearable devices, non-invasive, machine learning, sensors}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Bol, Hrvatska; Split, Hrvatska}, chapternumber = {9854216} }

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