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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The automatic nervous system, ventricular repolarisation and risk of sudden cardiac failure

Lu, Fei January 1995 (has links)
No description available.
2

Risk stratification of patients after myocardial infarction and patients with cardiomyopathies by non-invasive electrocardiographic methods

Gang, Yi January 1999 (has links)
No description available.
3

Automated identification of abnormal patterns in the intrapartum cardiotocogram

Cazares, Shelley Marie January 2002 (has links)
No description available.
4

The QT and related intervals, physiological pacing and the performance of the 'QT-Responsive' (TX) pacemaker

Fananapazir, Lameh January 1986 (has links)
No description available.
5

Hierarchical structure in human heart rate variability. / 人類心率變化中的層次結構 / Hierarchical structure in human heart rate variability. / Ren lei xin lü bian hua zhong de ceng ci jie gou

January 2005 (has links)
Zhang Cheungyao = 人類心率變化中的層次結構 / 張程遙. / Thesis submitted in: November 2004. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 75-77). / Text in English; abstracts in English and Chinese. / Zhang Cheungyao = Ren lei xin lü bian hua zhong de ceng ci jie gou / Zhang Chengyao. / Table of Contents --- p.1 / List of Figures --- p.6 / List of Tables --- p.7 / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- What is human heart rate variability? --- p.1 / Chapter 1.2 --- Review of previous work --- p.2 / Chapter 1.3 --- Outline of the thesis --- p.6 / Chapter 2 --- Basic statistical properties of human heartbeat data --- p.8 / Chapter 2.1 --- Data analyzed --- p.8 / Chapter 2.2 --- Results and conclusion --- p.11 / Chapter 3 --- Further analysis of heartbeat interval data --- p.20 / Chapter 3.1 --- The method of analysis --- p.20 / Chapter 3.2 --- Characteristic parameters for the multifractality of HRV --- p.22 / Chapter 4 --- Results and discussion --- p.24 / Chapter 4.1 --- Existence of hierarchical structure in human HRV --- p.24 / Chapter 4.2 --- Characteristic parameters and potential application --- p.32 / Chapter 5 --- A cardiac dynamical model --- p.51 / Chapter 5.1 --- Description of the model --- p.51 / Chapter 5.2 --- Review of some interesting results --- p.59 / Chapter 5.3 --- Numerical methods --- p.61 / Chapter 6 --- Results and discussion --- p.62 / Chapter 6.1 --- Output for our simulation --- p.62 / Chapter 6.2 --- Probability density function and structure functions --- p.65 / Chapter 7 --- Conclusion --- p.73 / Bibliography --- p.75
6

A normal-mixture model with random-effects for RR-interval data /

Ketchum, Jessica McKinney, January 2006 (has links)
Thesis (Ph. D.)--Virginia Commonwealth University, 2006. / Prepared for: Dept. of Biostatistics. Bibliography: leaves 189-198. Also available online via the Internet.
7

Discrepancy between training, competition and laboratory measures of maximum heart rate in NCAA division 2 distance runners

Semin, K, Stahlnecker, AC, Heelan, K, Brown, GA, Shaw, BS, Shaw, I 21 November 2008 (has links)
A percentage of either measured or predicted maximum heart rate is commonly used to prescribe and measure exercise intensity. However, maximum heart rate in athletes may be greater during competition or training than during laboratory exercise testing. Thus, the aim of the present investigation was to determine if endurance-trained runners train and compete at or above laboratory measures of ‘maximum’ heart rate. Maximum heart rates were measured utilising a treadmill graded exercise test (GXT) in a laboratory setting using 10 female and 10 male National Collegiate Athletic Association (NCAA) division 2 cross-country and distance event track athletes. Maximum training and competition heart rates were measured during a highintensity interval training day (TR HR) and during competition (COMP HR) at an NCAA meet. TR HR (207 ± 5.0 b·min-1; means ± SEM) and COMP HR (206 ± 4 b·min-1) were significantly (p < 0.05) higher than maximum heart rates obtained during the GXT (194 ± 2 b·min-1). The heart rate at the ventilatory threshold measured in the laboratory occurred at 83.3 ± 2.5% of the heart rate at VO2 max with no differences between the men and women. However, the heart rate at the ventilatory threshold measured in the laboratory was only 77% of the maximal COMP HR or TR HR. In order to optimize traininginduced adaptation, training intensity for NCAA division 2 distance event runners should not be based on laboratory assessment of maximum heart rate, but instead on maximum heart rate obtained either during training or during competition.
8

Silicon CMOS IC implementation of heart rate extraction

Chen, Mingqi January 2006 (has links)
Thesis (M.S.)--University of Hawaii at Manoa, 2006. / Includes bibliographical references (leaves 95-98). / 105 leaves, bound ill. 29 cm
9

Visualisation and pattern recognition of heart rate variability / Ben Raymond.

Raymond, Ben January 1999 (has links)
Errata tipped in before title page. / Bibliography: p. 173-194. / xv, 194 p. : ill. (some col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Considers various signal processing aspects of heart rate variability analysis; in particular, those of data visualisation and classification. / Thesis (Ph.D.)--University of Adelaide, Depts. of Electrical and Electronic Engineering and Applied Mathematics, 1999
10

Visualisation and pattern recognition of heart rate variability /

Raymond, Ben. January 1999 (has links) (PDF)
Thesis (Ph.D.)--University of Adelaide, Depts. of Electrical and Electronic Engineering and Applied Mathematics, 1999. / Errata tipped in before title page. Bibliography: p. 173-194.

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