通过从呼吸音频和胸部动态中提取多式特征来对肺部疾病进行非侵入性诊断

Alyaa Hamel Sfayyih1, Nasri Sulaiman1, Ahmad H Sabry2

  • 1Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Malaysia.

概括

这项研究引入了一种使用声音和视觉数据诊断肺部疾病的新方法. 这种多模式的方法显著提高了诊断准确度,提供了更强大的,并可能更早地检测肺部疾病.

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