Adaptive Neuro-Fuzzy Inference System for Breath Phase Detection and Breath Cycle Segmentation
The observation of the respiratory pattern in many patients with cardiac and pulmonary illnesses is vital [1,2], mainly for the identification of the respiratory rate, which can show signs of poor health conditions [3]. Respiratory rate monitoring is also important in patients with sleep apnea [4] because respiration is slower or completely stopped in cases of sleep apnea. Hence, an abnormal respiration rate can serve in the diagnosis of sleep apnea at an early stage. Respiratory rate detection also helps the detection of breath phases (Inspiratory /Expiratory), which aids breath cycle segmentation for computerized breath sound analysis [5].
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj Source Type: research
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