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1.
公开(公告)号:US20190046053A1
公开(公告)日:2019-02-14
申请号:US16072265
申请日:2016-10-21
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Yongtao JIANG , Yu ZHU , Peida XU
Abstract: Blood pressure detection signal sampling and compensation methods and apparatuses, and an example blood pressure signal collection system are described. One example method described includes controlling an electrocardiogram (ECG) sampling module and a photoplethysmogram (PPG) sampling module to simultaneously sample a standard periodic signal. Sampling frequencies and sampling end times are separately obtained. A sampling start time and a sampling frequency of the ECG sampling module or the PPG module is then compensated so that a sampling frequency deviation is less than a preset frequency threshold and a sampling end time difference is less than a preset time threshold.
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公开(公告)号:US20230245441A9
公开(公告)日:2023-08-03
申请号:US17778469
申请日:2020-11-13
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Deyu ZHOU , Yuewan LU , Chen DONG , Yongtao JIANG , Wenmei GAO
Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.
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公开(公告)号:US20230005254A1
公开(公告)日:2023-01-05
申请号:US17778469
申请日:2020-11-13
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Deyu ZHOU , Yuewan LU , Chen DONG , Yongtao JIANG , Wenmei GAO
Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.
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