Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1136325

Intelligent Biosignal Analysis Methods


Jović, Alan
Intelligent Biosignal Analysis Methods // Sensors, 21 (2021), 14; 4743, 5 doi:10.3390/s21144743 (međunarodna recenzija, uvodnik, znanstveni)


CROSBI ID: 1136325 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Intelligent Biosignal Analysis Methods

Autori
Jović, Alan

Izvornik
Sensors (1424-8220) 21 (2021), 14; 4743, 5

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, uvodnik, znanstveni

Ključne riječi
biosignal processing ; modeling methods ; time-series analysis ; machine learning ; deep learning ; feature extraction ; feature selection

Sažetak
This Editorial presents the accepted manuscripts for the special issue “Intelligent Biosignal Analysis Methods” of the Sensors MDPI journal. The special issue consists of 12 accepted manuscripts (11 regular papers and 1 review paper) that present advances in research and development of intelligent biosignal analysis methods. These methods are involved in a variety of significant biomedical applications, ranging from clinical decision support systems and portable personal devices used for screening and monitoring patients to modeling organism states and disorders. The focus of this special issue is on different types of methods used for intelligent analysis, and therefore, the accepted manuscripts mostly use different types of machine learning and deep learning algorithms for classification tasks on different types of biosignals. Both the regular contributions and the review paper reach valuable conclusions and discuss avenues for future work in this exciting field.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Alan Jović (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Jović, Alan
Intelligent Biosignal Analysis Methods // Sensors, 21 (2021), 14; 4743, 5 doi:10.3390/s21144743 (međunarodna recenzija, uvodnik, znanstveni)
Jović, A. (2021) Intelligent Biosignal Analysis Methods. Sensors, 21 (14), 4743, 5 doi:10.3390/s21144743.
@article{article, author = {Jovi\'{c}, Alan}, year = {2021}, pages = {5}, DOI = {10.3390/s21144743}, chapter = {4743}, keywords = {biosignal processing, modeling methods, time-series analysis, machine learning, deep learning, feature extraction, feature selection}, journal = {Sensors}, doi = {10.3390/s21144743}, volume = {21}, number = {14}, issn = {1424-8220}, title = {Intelligent Biosignal Analysis Methods}, keyword = {biosignal processing, modeling methods, time-series analysis, machine learning, deep learning, feature extraction, feature selection}, chapternumber = {4743} }
@article{article, author = {Jovi\'{c}, Alan}, year = {2021}, pages = {5}, DOI = {10.3390/s21144743}, chapter = {4743}, keywords = {biosignal processing, modeling methods, time-series analysis, machine learning, deep learning, feature extraction, feature selection}, journal = {Sensors}, doi = {10.3390/s21144743}, volume = {21}, number = {14}, issn = {1424-8220}, title = {Intelligent Biosignal Analysis Methods}, keyword = {biosignal processing, modeling methods, time-series analysis, machine learning, deep learning, feature extraction, feature selection}, chapternumber = {4743} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font