Sleep apnea syndrome diagnosis by analysis of the cardiac interbeat RR time series

• AUTHORS: P.A. Absil, R. Sepulchre, A. Bilge, R. Poirrier
• ABSTRACT:
  An automatic tool is proposed to help clinicians in the diagnosis of sleep apnea syndrome. The method uses an elementary signal processing of the heart interbeat $RR$ time series, offering the possibility of screening the pathology on the basis of a portable and inexpensive device that can be used at the patient's home.
• STATUS: published in the Proceedings of the International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling, Katholieke Universiteit Leuven, Belgium, July 8-10, 1998.
• DATE OF ENTRY: July 1998.

• Paper: PS file.