The selection of an optimal segmentation region in physiological signals

dc.contributor.authorOliveira, Jorge
dc.contributor.authorMargarida, Carvalho
dc.contributor.authorNogueira, Diogo
dc.contributor.authorCoimbra, Miguel
dc.date.accessioned2022-05-13T08:24:44Z
dc.date.available2022-05-13T08:24:44Z
dc.date.issued2022-03-31
dc.description.abstractPhysiological signals are often corrupted by noisy sources. Usually, artificial intelligence algorithms analyze the whole signal, regardless of its varying quality. Instead, experienced cardiologists search for a high-quality signal segment, where more accurate conclusions can be draw. We propose a methodology that simultaneously selects the optimal processing region of a physiological signal and determines its decoding into a state sequence of physiologically meaningful events. Our approach comprises two phases. First, the training of a neural network that then enables the estimation of the state probability distribution of a signal sample. Second, the use of the neural network output within an integer program. The latter models the problem of finding a time window by maximizing a likelihood function defined by the user. Our method was tested and validated in two types of signals, the phonocardiogram and the electrocardiogram. In phonocardiogram and electrocardiogram segmentation tasks, the system’s sensitivity increased on average from 95.1% to 97.5% and from 78.9% to 83.8%, respectively, when compared to standard approaches found in the literature.pt_PT
dc.identifier.citationOliveira, J., Carvalho, M., Nogueira, D., & Coimbra, M. (2022). The selection of an optimal segmentation region in physiological signals. International Transactions in Operational Research, 0, 1-18. https//doi.org/10.1111/itor.13138. Repositório Institucional UPT. http://hdl.handle.net/11328/4086pt_PT
dc.identifier.doi10.1111/itor.13138pt_PT
dc.identifier.issn0969-6016 (Print)
dc.identifier.issn1475-399 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4086
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1475-3995pt_PT
dc.rightsrestricted accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPhysiological signalspt_PT
dc.subjectDeep neural networkspt_PT
dc.subjectInteger programmingpt_PT
dc.subjectOptimal region selectionpt_PT
dc.titleThe selection of an optimal segmentation region in physiological signalspt_PT
dc.typejournal articlept_PT
degois.publication.firstPage1pt_PT
degois.publication.lastPage18pt_PT
degois.publication.locationEUApt_PT
degois.publication.titleInternational Transactions in Operational Researchpt_PT
degois.publication.volume0pt_PT
dspace.entity.typePublicationen
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