A Fuzzy Inference System for Detection of Obstructive Sleep Apnea

Abstract

A fuzzy inference system (FIS) was developed to detect obstructive sleep apnea (OSA) by analyzing the respiratory airflow signal in adults, The parameters analyzed were the normalized area and the standard deviation of consecutive 3-second intervals of baseline adjusted and rectified airflow signal, Fuzzy logic was used to process these parameters to detect apnea and hypopnea when the output values were within a specified range extracted from OSA patient data, The FIS comprised of three major stages of computation: fuzzification, fuzzy rule evaluation and defuzzification,

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409977

Entities

People

  • Asher Almas
  • Edgar Lucas
  • Homer Nazeran
  • John Burk
  • Khosrow Behbehani

Organizations

  • Flinders University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Air Pressure
  • Airway Management
  • Algorithms
  • Artificial Intelligence
  • Body Weight
  • Data Acquisition
  • Detection
  • Detectors
  • Engineering
  • Filters
  • Frequency
  • Fuzzy Logic
  • Low Pass Filters
  • Signal Processing
  • Standards
  • Surgery

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference