Optimal Timing in Screening Patients with Congestive Heart Failure and Healthy Subjects During Circadian Observation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s10439-010-0180-6.pdf
Reference48 articles.
1. Allegra, J. R., D. G. Cochrane, and R. Biglow. Monthly, weekly, and daily patterns in the incidence of congestive heart failure. Acad. Emerg. Med. 8(6):682–685, 2001.
2. Aschoff, J., S. Daan, and G. A. Groos. Vertebrate Circadian Systems Structure and Physiology. New York: Springer-Verlag, 1982.
3. Bär, K. J., M. Koschke, S. Berger, S. Schulz, M. Tancer, A. Voss, and V. K. Yeragani. Influence of olanzapine on QT variability and complexity measures of heart rate in patients with schizophrenia. J. Clin. Psychopharmacol. 28(6):694–698, 2008.
4. Barash, D., R. A. Silverman, P. Gennis, et al. Circadian variation in the frequency of myocardial infarction and death associated with acute pulmonary edema. J. Emerg. Med. 7:119–121, 1989.
5. Beckers, F., B. Verheyden, K. Couckuyt, and A. E. Aubert. Fractal dimension in health and heart failure. Biomed. Tech. 51(4):194–197, 2006.
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