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公开(公告)号:US10743777B2
公开(公告)日:2020-08-18
申请号:US15457702
申请日:2017-03-13
Applicant: QUALCOMM Incorporated
Inventor: Russel Martin , Shashank Narayanan , Hithesh Reddivari , Vidyut Naware , Igor Tchertkov , Joseph Czompo
IPC: A61B5/00 , A61B5/0205 , A61B5/024 , G16H50/50 , G16H40/63 , A61B5/11 , A61B5/021 , A61B5/0295 , A61B5/145
Abstract: Disclosed embodiments pertain to cardiovascular parameter (e.g. heart rate) measurements when motion is present. Biometric sensor signal measurements may be obtained based on cardiovascular parameters of a user; and motion sensor signal measurements may be obtained based on user motion. An activity type may be determined based on the motion sensor signals. For example, when non-motion related frequencies in a frequency domain representation of the biometric sensor signal are obscured by user motion, an activity type may be determined based on the motion sensor signals. Further, based on the activity type, for each cardiovascular parameter (e.g. heart rate), a corresponding likely cardiovascular parameter value (e.g. a likely heart rate) may be determined. A corresponding fundamental frequency associated with the biometric sensor signal may then be determined for each cardiovascular parameter based on the motion sensor signal measurements and the corresponding likely cardiovascular parameter value.
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公开(公告)号:US20180160912A1
公开(公告)日:2018-06-14
申请号:US15457702
申请日:2017-03-13
Applicant: QUALCOMM Incorporated
Inventor: Russel Martin , Shashank Narayanan , Hithesh Reddivari , Vidyut Naware , Igor Tchertkov , Joseph Czompo
IPC: A61B5/0205 , A61B5/00 , A61B5/11 , G06F19/00
Abstract: Disclosed embodiments pertain to cardiovascular parameter (e.g. heart rate) measurements when motion is present. Biometric sensor signal measurements may be obtained based on cardiovascular parameters of a user; and motion sensor signal measurements may be obtained based on user motion. An activity type may be determined based on the motion sensor signals. For example, when non-motion related frequencies in a frequency domain representation of the biometric sensor signal are obscured by user motion, an activity type may be determined based on the motion sensor signals. Further, based on the activity type, for each cardiovascular parameter (e.g. heart rate), a corresponding likely cardiovascular parameter value (e.g. a likely heart rate) may be determined. A corresponding fundamental frequency associated with the biometric sensor signal may then be determined for each cardiovascular parameter based on the motion sensor signal measurements and the corresponding likely cardiovascular parameter value.
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