STATISTICAL HEART RATE MONITORING FOR ESTIMATING CALORIE EXPENDITURE
    2.
    发明申请
    STATISTICAL HEART RATE MONITORING FOR ESTIMATING CALORIE EXPENDITURE 审中-公开
    统计心率监测用于估算卡路里支出

    公开(公告)号:US20160256058A1

    公开(公告)日:2016-09-08

    申请号:US15061653

    申请日:2016-03-04

    Applicant: Apple Inc.

    Abstract: Systems and methods are disclosed for tracking physiological states and parameters for calorie estimation. A start of an exercise session associated with a user of a wearable computing device is determined. Heart rate data is measured for a first period of time. An onset heart rate value of the user is determined based on the measured heart rate data, the onset heart rate value associated with a lowest valid heart rate measured during the first period of time. A resting heart rate parameter (RHR) of a calorimetry model is associated with at least one of the onset heart rate value, a preset RHR, and an RHR based on user biometric data. Energy expenditure of the user during a second period of time is estimated based on the calorimetry model and a plurality of heart rate measurements obtained by the wearable computing device during the second period of time.

    Abstract translation: 公开了用于跟踪用于卡路里估计的生理状态和参数的系统和方法。 确定与可穿戴计算设备的用户相关联的运动会话的开始。 心率数据在第一个时间段内测量。 基于所测量的心率数据,确定在第一时间段期间测量的与最低有效心率相关联的起搏心率值,确定使用者的起搏心率值。 量热模型的静息心率参数(RHR)与起始心率值,预设RHR和基于用户生物特征数据的RHR中的至少一个相关联。 基于在第二时间段期间由耐磨计算装置获得的量热法模型和多个心率测量来估计用户在第二时间段期间的能量消耗。

    ACCURATE CALORIMETRY FOR INTERMITTENT EXERCISES
    5.
    发明申请
    ACCURATE CALORIMETRY FOR INTERMITTENT EXERCISES 审中-公开
    精确计算进行间歇性运动

    公开(公告)号:US20160058370A1

    公开(公告)日:2016-03-03

    申请号:US14501771

    申请日:2014-09-30

    Applicant: Apple, Inc.

    Abstract: In one aspect, the present disclosure relates to a method including obtaining, by a fitness tracking device, a plurality of heart rate measurements of the user over a period of time, wherein the plurality of heart rate measurements can include heart rate data from a heart rate sensor of the fitness tracking device; analyzing, by the fitness tracking device, the plurality of heart rate measurements to determine a rate of change of a heart rate of the user during the period of time; determining, by the fitness tracking device, that the user is experiencing an onset phase if the rate of change of the heart rate during the period of time is greater than zero; determining, by the fitness tracking device, that the user is experiencing a cool-down phase if the rate of change of the heart rate during the period of time is less than zero; estimating, by the fitness tracking device, a first rate of energy expenditure of the user if the user is experiencing an onset phase using an onset calorimetry model; and estimating, by the fitness tracking device, a second rate of energy expenditure of the user if the user is experiencing a cool-down phase using a cool-down calorimetry model.

    Abstract translation: 在一个方面,本公开涉及一种方法,包括通过健身跟踪设备在一段时间内获得用户的多个心率测量值,其中所述多个心率测量可以包括来自心脏的心率数据 速度传感器的健身追踪装置; 通过所述健身跟踪装置分析所述多个心率测量以确定所述用户在所述时间段期间的心率变化率; 如果所述时间段内的心率变化率大于零,则由所述健身跟踪装置确定所述用户正在经历起始阶段; 如果所述健康跟踪装置在所述时间段内心率的变化率小于零,则确定所述用户正在经历冷却阶段; 如果用户使用开始量热法模型正在经历起始阶段,则由健身跟踪设备估计用户的第一能量消耗速率; 以及如果所述用户使用冷却量热法模型正在经历冷却阶段,则由所述健身跟踪设备估计所述用户的第二能量消耗率。

    TECHNIQUES FOR JOINTLY CALIBRATING LOAD AND AEROBIC CAPACITY

    公开(公告)号:US20170273619A1

    公开(公告)日:2017-09-28

    申请号:US15466397

    申请日:2017-03-22

    Applicant: Apple Inc.

    Abstract: A relationship relating a load of exercise and a user's aerobic capacity may be determined as follows. A processor circuit of a device may retrieve, from a memory, a prior probability distribution of the load of exercise and a prior probability distribution of the user's aerobic capacity. The processor circuit may compute a joint prior probability of the load of exercise and the user's aerobic capacity. The processor circuit may compute a joint likelihood of the load of exercise and the user's aerobic capacity based on data indicative of a measured time-stamped work rate and a measured time-stamped heart rate. The processor circuit may combine the joint prior probability and the joint likelihood to produce a joint posterior probability. The processor circuit may use the joint posterior probability to determine a relationship relating the load of exercise and the user's aerobic capacity and output a calorie calculation.

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