聪明的听诊器

Mehmet Nasuhcan Türker, Yağız Can Çağan, Batuhan Yildirim, Mücahit Demirel, A. Özmen, B. Tander, Mesut Cevik
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引用次数: 3

摘要

在本研究中,开发了一种名为智能听诊器的设备,该设备使用数字传感器技术进行声音捕获,主动声学进行噪声消除,人工智能(AI)用于心肺疾病诊断,以帮助卫生工作者做出准确的诊断。此外,利用深度学习和长短期记忆(LSTM)技术对呼吸系统疾病进行分类,并获得这些疾病的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Stethoscope
In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is developed to help the health workers to make accurate diagnoses. Furthermore, the respiratory diseases are classified by using Deep Learning and Long Short-Term Memory (LSTM) techniques whereas the probability of these diseases are obtained.
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