Identifying a cross-correlation between heart rate variability and skin conductance using pain intensity on healthy college students / by Genesis R. Cruz-Molina.

Author/creator Cruz-Molina, Genesis R. author.
Other author Sylcott, Brian, degree supervisor.
Other author East Carolina University. Department of Engineering.
Format Theses and dissertations
Publication[Greenville, N.C.] : [East Carolina University], 2018.
Description144 pages : illustrations (some color)
Supplemental ContentAccess via ScholarShip
Subjects

Summary Chronic pain affects approximately 100 million Americans annually. Heart rate variability and skin conductance have been used separately as measures of pain intensity. Current methods of assessing pain intensity have some limitations as they completely rely on subjective pain scales, require the patient's cooperation, and completely fail in unconscious patients. Therefore, there is a need for an objective method of measuring pain to improve the quality of pain management. Understanding the relationship between heart rate variability and skin conductance can be beneficial for non-pharmacological treatments of pain such as biofeedback training, as combining both signals can be used to create a more powerful tool to measure pain. To identify a relationship between skin conductance and heart rate variability, we propose a cross-correlation analysis. Such approach necessitates collection of baseline data on healthy college students, administration of a thermal stimuli, and collection of data during and after the stimuli.
General notePresented to the faculty of the College of Engineering and Technology
General noteAdvisor: Brian Sylcott
General noteTitle from PDF t.p. (viewed October 25, 2018).
Dissertation noteM.S. East Carolina University 2018.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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