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Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Respiration monitoring is helpful in disease prevention and diagnosis.
Traditional respiration monitoring requires users to wear devices on their bodies, which is inconvenient for them.
In this paper, we aim to design a noncontact respiration rate detection system utilizing off-the-shelf smartphones.
We utilize the single-frequency ultrasound as the media to detect the respiration activity.
By analyzing the ultrasound signals received by the built-in microphone sensor in a smartphone, our system can derive the respiration rate of the user.
The advantage of our method is that the transmitted signal is easy to generate and the signal analysis is simple, which has lower power consumption and thus is suitable for long-term monitoring in daily life.
The experimental result shows that our system can achieve accurate respiration rate estimation under various scenarios.
American Psychological Association (APA)
Ge, Linfei& Zhang, Jin& Wei, Jing. 2018. Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131954
Modern Language Association (MLA)
Ge, Linfei…[et al.]. Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1131954
American Medical Association (AMA)
Ge, Linfei& Zhang, Jin& Wei, Jing. Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131954