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dc.contributor.advisorThomas, Johnson P.
dc.contributor.authorGhosh, Ipsita
dc.date.accessioned2020-01-30T19:46:37Z
dc.date.available2020-01-30T19:46:37Z
dc.date.issued2019-07
dc.identifier.urihttps://hdl.handle.net/11244/323394
dc.description.abstractIn the human body, all the organs are interconnected and interdependent. In this work we consider the heart and the lungs. Changes in the functionality of one can affect the other. The heart controls blood flow and the lungs controls respiration.
dc.description.abstractIn the thesis we investigate if heart rate variability (HRV) and respiratory rate variability (RSV) to can give a more accurate prognosis of the state of the body. Previous research has focused on HRV. As a first step we see if both HRV and RSV can predict gender and age of a person more accurately than HRV or RSV alone. In this work we looked at healthy people.
dc.description.abstractWe analyzed the data of healthy people from the PhysioNet database [14]. Our results show that Gender influences Heart Rate and Breathing Rate. Consider both together rather than individually give a better prediction of gender. The only feature that is related to age is the standard deviation of respiration rate.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleHeart and Respiration Function Related to Age and Gender
dc.contributor.committeeMemberBenjamin, Bruce
dc.contributor.committeeMemberGeorge, K. M.
osu.filenameGhosh_okstate_0664M_16475.pdf
osu.accesstypeOpen Access
dc.type.genreThesis
dc.type.materialText
dc.subject.keywordsage
dc.subject.keywordscardiovascular system
dc.subject.keywordsgender
dc.subject.keywordsheart rate variability
dc.subject.keywordsrespiratory rate variability
dc.subject.keywordsrespiratory system
thesis.degree.disciplineComputer Science
thesis.degree.grantorOklahoma State University


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