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Full-Text Articles in Physical Sciences and Mathematics
Shrinking Symbolic Regression Over Medical And Physiological Signals, Jamie Macbeth, Majid Sarrafzadeh
Shrinking Symbolic Regression Over Medical And Physiological Signals, Jamie Macbeth, Majid Sarrafzadeh
Computer Science: Faculty Publications
Medical embedded systems of the present and future are recording vast sets of data related to medical conditions and physiology. Linear modeling techniques are proposed as a means to help explain relationships between two or more medical or physiological signal measurements from the same human subject. In this paper a statistical regression algorithm is explored for use in medical monitoring, telehealth, and medical research applications.
An essential element in applying linear modeling to physiological data is determining functional forms for the predictor signals. In this paper we demonstrate an efficient method for symbolic regression and model selection among possible transformation …
Health Econometrics: Respiration- Oxygenation Correlation Through Spectral Models, Jamie Macbeth, Majid Sarrafzadeh
Health Econometrics: Respiration- Oxygenation Correlation Through Spectral Models, Jamie Macbeth, Majid Sarrafzadeh
Computer Science: Faculty Publications
Medical embedded systems are capable of recording vast data sets for physiological and medical research. Linear modeling techniques are proposed as a means to explore relationships between two or more medical or physiological signal measurements where a causal relationship is believed to be present. Multiple regression is explored for use in medical monitoring, telehealth, and clinical applications.
Spectral regression methods for high-bandwidth medical and physiological signals are demonstrated. The twostage method consists of performing an FFT over a timelagged window of the predictor signal, and constructing a model based on the FFT coefficients. The output of the regression is used …