Application of Artifical Neural Networks for Processing Some Biomedical Data

dc.contributor.authorŠtork, Milan
dc.contributor.authorNovák, Jaroslav
dc.date.accessioned2025-06-20T08:46:15Z
dc.date.available2025-06-20T08:46:15Z
dc.date.issued2024
dc.date.updated2025-06-20T08:46:15Z
dc.description.abstractArtificial neural networks (ANN) are used for modeling, adaptive control, curve fitting and other applications where they can be trained by a measured data. ANNs are used as an auxiliary tool of artificial intelligence. ANN can learn from training results and can evaluate conclusions from a complex and evidently unrelated set of information. Increasingly, ANNs are used in wide range of applications and also in biomedical engineering. In this contribution, simple applications from the field of medical engineering, especially in exercise testing data evaluation are presented. It should be noted that all data was obtained by real measurement. All examples were processed using Matlab's Neural Toolbox.en
dc.format4
dc.identifier.document-number001268606200001
dc.identifier.doi10.1109/MECO62516.2024.10577768
dc.identifier.isbn979-8-3503-8756-8
dc.identifier.issn2377-5475
dc.identifier.obd43943309
dc.identifier.orcidŠtork, Milan 0000-0001-5028-3473
dc.identifier.urihttp://hdl.handle.net/11025/60984
dc.language.isoen
dc.project.IDSGS-2024-005
dc.project.IDEF18_069/0009855
dc.publisherIEEE
dc.relation.ispartofseries13th Mediterranean Conference on Embedded Computing, MECO 2024
dc.subjectartificial neural networken
dc.subjectneuronen
dc.subjectteachingen
dc.subjectbicycle ergometeren
dc.subjecttreadmill ergometeren
dc.subjectloaden
dc.subjectoxygen consumptionen
dc.titleApplication of Artifical Neural Networks for Processing Some Biomedical Dataen
dc.typeStať ve sborníku (D)
dc.typeSTAŤ VE SBORNÍKU
dc.type.statusPublished Version
local.files.count1*
local.files.size2117089*
local.has.filesyes*
local.identifier.eid2-s2.0-85199575375

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