公开(公告)号：US20160058367A1

公开(公告)日：2016-03-03

申请号：US14812870

申请日：2015-07-29

Applicant: APPLE INC.

Inventor： Karthik Jayaraman Raghuram ,  James M. Silva ,  Alexander Kanaris ,  Barker N. Bhaskaran

IPC: A61B5/00 ,  A61B5/11 ,  A61B5/0205

CPC classification number: A61B5/486 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/1118 ,  A61B5/681 ,  A61B5/721 ,  A61B5/7246 ,  A61B5/7278

Abstract: A device can estimate the heart rate of an active user by using a physiological model to refine a “direct” measurement of the user's heart rate obtained using a pulse sensor. The physiological model can be based on heart rate response to activity and can be informed by context information, such as the user's current activity and/or intensity level as well as user-specific parameters such as age, gender, general fitness level, previous heart rate measurements, etc. The physiological model can be used to predict a heart rate, and the prediction can be used to assess or improve the direct measurement.

Abstract translation: 设备可以通过使用生理模型来估计使用脉冲传感器获得的用户心率的“直接”测量来估计活跃用户的心率。 生理模型可以基于对活动的心率反应，并且可以通过上下文信息（例如用户的当前活动和/或强度水平）以及用户特定参数（诸如年龄，性别，一般适应度，先前的心脏） 速率测量等。生理模型可用于预测心率，预测可用于评估或改善直接测量。

公开(公告)号：US09848823B2

公开(公告)日：2017-12-26

申请号：US14812870

申请日：2015-07-29

Applicant: Apple Inc.

Inventor： Karthik Jayaraman Raghuram ,  James M. Silva ,  Alexander Kanaris ,  Barker N. Bhaskaran

IPC: A61B5/02 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/11 ,  A61B5/024

CPC classification number: A61B5/486 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/1118 ,  A61B5/681 ,  A61B5/721 ,  A61B5/7246 ,  A61B5/7278

Abstract: A device can estimate the heart rate of an active user by using a physiological model to refine a “direct” measurement of the user's heart rate obtained using a pulse sensor. The physiological model can be based on heart rate response to activity and can be informed by context information, such as the user's current activity and/or intensity level as well as user-specific parameters such as age, gender, general fitness level, previous heart rate measurements, etc. The physiological model can be used to predict a heart rate, and the prediction can be used to assess or improve the direct measurement.