4/24/2023 0 Comments Labchart reader 8![]() Based on classification measures, it may be observed that a physician may use such a methodology as a respiratory pattern evaluation-aided method. ![]() It may be among the essential findings derived from this study. It was also found that obesity characterized by a high WHR (waist-to-hip ratio) and male sex were predisposing factors for the occurrence of periodic-like or intermediate patterns of respiration. Overall, parameters related to signal analysis are indicated as more important than anthropomorphic features. The presented approach applied to respiratory pattern evaluation shows that median accuracies in a considerable number of cases exceeded 0.75. The proposed methodology was validated employing k-nearest neighbor (k-NN) and UMAP (uniform manifold approximation and projection). Signal attributes and anthropomorphic parameters were explored to develop prediction models to determine the percentage contribution of periodic-like, intermediate, and normal breathing patterns in the analyzed signals. Group decision-making, tri-way reasoning, and rough set–based analysis were applied to granular computing. Consequently, a method that would support a physician in respiratory pattern evaluation should be developed. There is increasing evidence that abnormal respiratory patterns might contribute to the development and progression of CVD. The described application of granular computing is motivated because cardiovascular disease (CVD) remains a major killer globally.
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