AI Stethoscope for Home Self-Diagnosis with AR Guidance

被引：1

作者：

Hou, Kaiyuan ^{[1
]}

Xia, Stephen ^{[1
]}

Wu, Junyi ^{[1
]}

Zhao, Minghui ^{[1
]}

Bejerano, Emily ^{[1
]}

Jiang, Xiaofan ^{[1
]}

机构：

[1] Columbia Univ, New York, NY 10027 USA

来源：

PROCEEDINGS OF THE TWENTIETH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2022 | 2022年

基金：

美国国家科学基金会;

关键词：

digital stethoscope; human computer interaction; smart home;

D O I：

10.1145/3560905.3568082

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cardiopulmonary ailments are a major cause of mortality. Stethoscopes are one of the most important tools that healthcare professionals use to screen patients for a variety of ailments, especially those related to the heart and lungs. Despite the growth of digital stethoscopes on the market, it takes years of training to properly use stethoscopes to listen for abnormal sounds within the body. In this demonstration, we present an intelligent stethoscope platform that makes stethoscopes more accessible to the general population. Our platform utilizes augmented reality (AR) to provide real-time guidance on where to properly place the stethoscope on the body, enabling the general population to screen themselves for ailments.

引用

页码：762 / 763

页数：2

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