QT-interval adaptation to changes in autonomic balance
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/84865 |
| _version_ | 1811093238544596992 |
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| author | Nosakhare, Ehimwenma |
| author2 | George C. Verghese and Thomas Heldt. |
| author_facet | George C. Verghese and Thomas Heldt. Nosakhare, Ehimwenma |
| author_sort | Nosakhare, Ehimwenma |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T15:42:06Z |
| format | Thesis |
| id | mit-1721.1/84865 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:42:06Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/848652019-04-11T10:06:25Z QT-interval adaptation to changes in autonomic balance Nosakhare, Ehimwenma George C. Verghese and Thomas Heldt. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (pages 93-98). ECG variability, as it relates to the influence of the autonomic nervous system on the heart, is primarily studied via frequency-domain and time-domain analysis of heart rate variability (HRV). HRV studies the variability of the RR intervals in the ECG; these intervals are modulated by the autonomic influence on the periodicity of the the heart's pacemaker, the sino-atrial node. The autonomic influence at this level is dominated by the parasympathetic nervous system. In order to have a robust assessment of autonomic balance, there is a need for an ECG-based approach to assess the influence of the sympathetic nervous system. In this thesis, using spectral analysis, we quantify the variability of the QT interval, which is primarily modulated by the sympathetic nervous system. We also estimate the time constant of the sympathetic nervous system by least-squares fitting of the QT time series resulting from step perturbations in autonomic balance. This study is carried out on graded head-up tilt test data. Our results demonstrate the potential of QT interval variability as a non-invasive assessment of the sympathetic nervous system activity on the heart. by Ehimwenma Nosakhare. S.M. 2014-02-10T16:56:09Z 2014-02-10T16:56:09Z 2013 Thesis http://hdl.handle.net/1721.1/84865 868327113 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 98 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Nosakhare, Ehimwenma QT-interval adaptation to changes in autonomic balance |
| title | QT-interval adaptation to changes in autonomic balance |
| title_full | QT-interval adaptation to changes in autonomic balance |
| title_fullStr | QT-interval adaptation to changes in autonomic balance |
| title_full_unstemmed | QT-interval adaptation to changes in autonomic balance |
| title_short | QT-interval adaptation to changes in autonomic balance |
| title_sort | qt interval adaptation to changes in autonomic balance |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/84865 |
| work_keys_str_mv | AT nosakhareehimwenma qtintervaladaptationtochangesinautonomicbalance |