AI Stethoscope for Home Self-Diagnosis with AR Guidance
Authors: 
Kaiyuan Hou, Stephen Xia, Junyi Wu, 
Minghui Zhao, Emily Bejerano, 
Xiaofan JiangAuthors Info & Claims
Kaiyuan Hou, Stephen Xia, Junyi Wu, Minghui Zhao, Emily Bejerano, Xiaofan JiangAuthors Info & ClaimsPages 762 - 763
Abstract
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.
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Index Terms
- AI Stethoscope for Home Self-Diagnosis with AR Guidance
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Information & Contributors
Information
Published In
November 2022
1280 pages
ISBN:9781450398862
DOI:10.1145/3560905
- General Chairs:
- Jeremy Gummeson,
- Sunghoon Ivan Lee,
- Program Chairs:
- Jie Gao,
- Guoliang Xing
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGCOMM: ACM Special Interest Group on Data Communication
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
- SIGBED: ACM Special Interest Group on Embedded Systems
- SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 January 2023
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- Demonstration
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SenSys '22: The 20th ACM Conference on Embedded Networked Sensor Systems
November 6 - 9, 2022
Massachusetts, Boston
Acceptance Rates
SenSys '22 Paper Acceptance Rate 52 of 187 submissions, 28%;
Overall Acceptance Rate 198 of 990 submissions, 20%
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