Title:
SLEEP APNEA DETECTION METHOD BASED ON MOBILE DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/066135
Kind Code:
A1
Abstract:
A sleep apnea detection method based on a mobile device. Accordingly, sleep apnea detection is performed during sleep by means of taking deep learning and audio snore detection technology as a basis. The detection method comprises a series of steps such as audio collection, feature processing, snore determination, decibel volume measurement and apnea detection, so as to detect a sleep apnea event of a user under test, thereby determining whether the user has sleep apnea symptoms. The whole algorithm and process can be applied to a mobile device, which includes, but is not limited to, a mobile phone, and some embedded devices, thereby removing the limitations of a traditional sleep apnea detection method in which a contact-type device is required, and also ensuring the accuracy of detection, such that a user who is having sleep apnea symptoms can be discovered and treated as soon as possible.
Inventors:
SHAN HUAFENG (CN)
DING SHAOKANG (CN)
ZHANG JIANWEI (CN)
ZHENG JIAN (CN)
DING SHAOKANG (CN)
ZHANG JIANWEI (CN)
ZHENG JIAN (CN)
Application Number:
PCT/CN2022/125138
Publication Date:
April 27, 2023
Filing Date:
October 13, 2022
Export Citation:
Assignee:
KEESON TECH CORP LTD (CN)
International Classes:
A61B5/00
Foreign References:
| CN113925464A | 2022-01-14 | |||
| CN113288065A | 2021-08-24 | |||
| CN111938649A | 2020-11-17 | |||
| JP2016047156A | 2016-04-07 | |||
| CN111613210A | 2020-09-01 | |||
| US20210177343A1 | 2021-06-17 | |||
| CN106419865A | 2017-02-22 | |||
| CN1803089A | 2006-07-19 | |||
| US20120004749A1 | 2012-01-05 | |||
| US20130144190A1 | 2013-06-06 |
Attorney, Agent or Firm:
SHANGHAI HANSHENG LAW OFFICES (CN)
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