PHYSIOLOGICAL META-INDICATORS FOR PROFESSIONAL SPORT APPLICATIONS: EXPRESS DIAGNOSTICS, OVERTRAINING DETECTION, AND QUANTIFICATION OF INDIVIDUAL ZONES OF OPTIMAL FUNCTIONING (IZOF)
暂无分享，去创建一个
[1] Valeriy V. Gavrishchaka,et al. Boosting-based discovery of multi-component physiological indicators: applications to express diagnostics and personalized treatment optimization , 2010, IHI.
[2] Mathias Baumert,et al. Heart Rate Variability, Blood Pressure Variability, and Baroreflex Sensitivity in Overtrained Athletes , 2006, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.
[3] L. Zhang,et al. [Age dependency of heart rate variability, blood pressure variability and baroreflex sensitivity]. , 2000, Hang tian yi xue yu yi xue gong cheng = Space medicine & medical engineering.
[4] B. Maron. Hypertrophic cardiomyopathy: a systematic review. , 2002, JAMA.
[5] Valeriy V. Gavrishchaka,et al. Robust algorithmic detection of the developed cardiac pathologies and emerging or transient abnormalities from short periods of RR data , 2011 .
[6] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[7] David Nunan,et al. Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system , 2008, European Journal of Applied Physiology.
[8] Valeriy V. Gavrishchaka,et al. Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications , 2011 .