The ultimate objective of our research is the development of S+LongMem, an advanced software toolkit to assist researchers in applying a class of statistical models (long memory processes) of particular importance for biomedical time series (examples of such series are measurements of heart rate variability, renal blood flow and blood pressure, and vasomotion). The application of these statistical models will facilitate more accurate physiological and medical interpretation of biomedical time series recorded for the purpose of detection, identification and classification of disease. The proposed research will contribute to the health sciences by developing 1) a unified framework for properly classifying and analyzing biomedical time series; 2) a guidance system for the use of these tools (and the underlying statistical methodology) so that researchers can identify informative statistics for their data; 3) a comprehensive mechanism for simulating biomedical time series from a wide variety of fitted or postulated models for use in diagnostic testing; and 4) a software toolkit S+LongMem implementing these objectives. This toolkit will be accompanied by an interactive multimedia casebook documenting case studies in applying statistical methodology to biomedical time series.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001243-15
Application #
5223051
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
15
Fiscal Year
1996
Total Cost
Indirect Cost
Bassingthwaighte, James B; Butterworth, Erik; Jardine, Bartholomew et al. (2012) Compartmental modeling in the analysis of biological systems. Methods Mol Biol 929:391-438
Dash, Ranjan K; Bassingthwaighte, James B (2010) Erratum to: Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 38:1683-701
Bassingthwaighte, James B; Raymond, Gary M; Butterworth, Erik et al. (2010) Multiscale modeling of metabolism, flows, and exchanges in heterogeneous organs. Ann N Y Acad Sci 1188:111-20
Dash, Ranjan K; Bassingthwaighte, James B (2006) Simultaneous blood-tissue exchange of oxygen, carbon dioxide, bicarbonate, and hydrogen ion. Ann Biomed Eng 34:1129-48
Dash, Ranjan K; Bassingthwaighte, James B (2004) Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 32:1676-93
Kellen, Michael R; Bassingthwaighte, James B (2003) Transient transcapillary exchange of water driven by osmotic forces in the heart. Am J Physiol Heart Circ Physiol 285:H1317-31
Kellen, Michael R; Bassingthwaighte, James B (2003) An integrative model of coupled water and solute exchange in the heart. Am J Physiol Heart Circ Physiol 285:H1303-16
Wang, C Y; Bassingthwaighte, J B (2001) Capillary supply regions. Math Biosci 173:103-14
Swanson, K R; True, L D; Lin, D W et al. (2001) A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth: an explanation for a medical anomaly. Am J Pathol 158:2195-9
Swanson, K R; Alvord Jr, E C; Murray, J D (2000) A quantitative model for differential motility of gliomas in grey and white matter. Cell Prolif 33:317-29

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