Fractal Modeling of Biomedical Time Series in S-Plus

Information

  • Research Project
  • 6690662
  • ApplicationId
    6690662
  • Core Project Number
    R44LM007146
  • Full Project Number
    2R44LM007146-02
  • Serial Number
    7146
  • FOA Number
  • Sub Project Id
  • Project Start Date
    10/1/2000 - 24 years ago
  • Project End Date
    8/31/2005 - 19 years ago
  • Program Officer Name
    YE, JANE
  • Budget Start Date
    9/1/2003 - 21 years ago
  • Budget End Date
    8/31/2004 - 20 years ago
  • Fiscal Year
    2003
  • Support Year
    2
  • Suffix
  • Award Notice Date
    9/1/2003 - 21 years ago
Organizations

Fractal Modeling of Biomedical Time Series in S-Plus

[unreadable] DESCRIPTION (provided by applicant): [unreadable] The goal of this project is to provide a comprehensive state-of-the-art software package, [unreadable] S+FRACTAL, for modeling and data analysis of fractal processes. The overall implementation will be in the S-PLUS object oriented language. The specific aim of the software is to provide comprehensive and effective tools for estimating deterministic or stochastic fractal model parameters and to encourage research-oriented exploration of fractal structure found in biomedical time series. A diagnostic test suite will be implemented to infer the presence of deterministic or stochastic components in a time series and to aid the researcher in identifying an appropriate (fractal) model for arbitrary time series. Advanced linear and nonlinear denoising techniques will be implemented to help separate the underlying deterministic dynamics from stochastic noise. Coupled with the existing statistical analysis capabilities of S-PLUS, the S+FRACTAL module will provide a commercially viable and comprehensive fractal analysis product for medical and health related fields as well engineering disciplines. [unreadable] [unreadable] Stochastic colored noise and nonlinear deterministic chaotic fractal processes have emerged as important models for understanding complex physiological systems. There is currently no commercial software available for comprehensive analysis of fractal time series covering both nonlinear deterministic chaotic and stochastic colored noise models. The proposed S+FRACTAL module will fill in this gap and allow Insightful Corporation to capture a significant edge in the market for biomedical time series analysis as well as extended markets in education, finance, and engineering. [unreadable] [unreadable]

IC Name
NATIONAL LIBRARY OF MEDICINE
  • Activity
    R44
  • Administering IC
    LM
  • Application Type
    2
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    345241
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    879
  • Ed Inst. Type
  • Funding ICs
    NLM:345241\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    INSIGHTFUL CORPORATION
  • Organization Department
  • Organization DUNS
    150683779
  • Organization City
    SEATTLE
  • Organization State
    WA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    98109
  • Organization District
    UNITED STATES