dc.contributor.advisor | Kaya, Mehmet | |
dc.contributor.author | Pogorelec, Matthew Joseph | |
dc.date.accessioned | 2019-04-30T18:14:12Z | |
dc.date.available | 2019-04-30T18:14:12Z | |
dc.date.created | 2019-05 | |
dc.date.issued | 2019-05 | |
dc.date.submitted | May 2019 | |
dc.identifier.uri | http://hdl.handle.net/11141/2789 | |
dc.description | Thesis (M.S.) - Florida Institute of Technology, 2019 | en_US |
dc.description.abstract | Heart rate variability (HRV) has been shown to serve as an effective diagnostic and
prognostic tool in a variety of clinical applications, including for patients who have
suffered from myocardial infarction, sepsis and liver cirrhosis. There currently exist a
variety of devices and software to quantify HRV based on RR interval series collected
from ECG data. However, as the uses for HRV expand, a greater variety of devices for
different applications are being designed and developed. Thus, it is useful to have
available a method for efficiently testing preliminary software.
The HRV/ECG Generator software is designed to build both an RR interval series and
simulated ECG data based on user selected settings. The data is built from one of three
common HRV quantifier; LF/HF ratio, SDNN and RMSSD. The user can also select a
value for the quantifier from a preset range of values specific to each quantifier. When
tested by an established HRV software package, the simulated data was found to accurately
reflect the predetermined value used to construct it for tested values within a realistic range
for all quantifiers. A suggested value range and acceptable percent error calculation is
given for each individual quantifier that allows the user to determine if the program being
tested is acceptably accurate in the early development stages. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.rights | CC BY 4.0 | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/legalcode | en_US |
dc.title | HRV - ECG Generator: Software for Testing Heart Rate Variability Detection | en_US |
dc.type | Thesis | en_US |
dc.date.updated | 2019-04-17T16:26:38Z | |
thesis.degree.name | Master of Science in Biomedical Engineering | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.discipline | Biomedical Engineering | en_US |
thesis.degree.department | Biomedical and Chemical Engineering and Sciences | en_US |
thesis.degree.grantor | Florida Institute of Technology | en_US |
dc.type.material | text | |