Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 14, 2017

Abstract

BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including sleep apnea because patients with sleep apnea exhibit an irregular respiratory rate compared with controls. Therefore, monitoring the respiratory rate by detecting the different breath phases is crucial.

Authors

  • Rajkumar Palaniappan
    School of Electronics Engineering (SENSE), VIT University, Vellore, Tamil Nadu, India. Electronic address: prkmect@gmail.com.
  • Kenneth Sundaraj
    Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia.
  • Sebastian Sundaraj
    Department of Anaesthesiology, Hospital Tengku Ampuan Rahimah (HTAR), Klang, Malaysia.

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