Patent ID: 7966061

Claim:
A method of developing a sleep disorder detection system, the method comprising: obtaining EKG recordings from known normal patients and known sleep disorder patients; clipping the EKG measurements into specific time intervals, forming clips; calculating an R-R interval discrete time series for each clip, and evenly resampling the R-R interval discrete time series using cubic spline interpolation, creating data clips; performing Short-Time Discrete Fourier Transform (STDFT) on each data clip, which generates STDFT complex matrices; encoding each STDFT matrix into at least one grey-level image and calculating at least one Grey-Level Co-occurrence Matrix (GLCM) for each at least one grey-level image; calculating textural features for each GLCM; performing statistical analysis on each textural feature between GLCMs from known normal patients and GLCMs from known sleep disorder patients; formulating fuzzy logic rules based on the statistical analysis; and employing fuzzy logic to implement the rules and training the sleep disorder detection system using the textural features from known normal and known sleep disorder patients as inputs.