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    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.

    Inventor： Hung A. PHAM ,  Craig MERMEL ,  Richard Channing MOORE, III ,  Karthik Jayaraman RAGHURAM ,  Adeeti ULLAL ,  Alexander SINGH ALVARADO ,  Xing TAN

    IPC: A61B5/0205 ,  A61B5/11 ,  A61B5/00 ,  A63B24/00

    CPC classification number: A61B5/0205 ,  A61B5/02438 ,  A61B5/1118 ,  A61B5/4866 ,  A61B2560/0223 ,  A61B2562/0219

    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。

    LOCAL MODEL FOR CALORIMETRY
    5.
    发明申请
    LOCAL MODEL FOR CALORIMETRY 审中-公开
    本地CALRIMETRY模型

    公开(公告)号：US20160058332A1

    公开(公告)日：2016-03-03

    申请号：US14501701

    申请日：2014-09-30

    Applicant: APPLE, INC.

    Inventor： Xing TAN ,  Hung A. PHAM ,  Richard Channing MOORE, III ,  Karthik Jayaraman RAGHURAM ,  Alexander SINGH ALVARADO ,  Umamahesh SRINIVAS ,  Mrinal AGARWAL ,  Edith Merle ARNOLD

    IPC: A61B5/11 ,  A61B5/00

    CPC classification number: A61B5/0205 ,  A61B5/0002 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/1112 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/1121 ,  A61B5/1123 ,  A61B5/222 ,  A61B5/4866 ,  A61B5/4884 ,  A61B5/681 ,  A61B5/6898 ,  A61B5/7221 ,  A61B5/7246 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7275 ,  A61B2560/0204 ,  A61B2560/0242 ,  A61B2560/0475 ,  A61B2562/0219 ,  A63B22/0605 ,  G01C22/006

    Abstract: In one aspect, the present disclosure relates to a method including obtaining, by a fitness tracking device configured to be worn by a user, a plurality of physical characteristics of the user, wherein the plurality of physical characteristics includes a first age and a sex of the user; mapping, by the fitness tracking device, each physical characteristic of the user to a corresponding index, wherein the first age of the user is mapped to a first age index of a first age range of a plurality of age ranges, and wherein the sex of the user is mapped to a first sex index; selecting, from a memory of the fitness tracking device, a first calorimetry model of a plurality of calorimetry models, wherein the first calorimetry model is associated with each corresponding index, including the first age index and the first sex index of the user; and estimating, by the fitness tracking device, an energy expenditure rate using the first calorimetry model, wherein the fitness tracking device can include constrained resources for at least one of battery power, processor speed, and memory capacity.

    Abstract translation: 在一个方面，本公开涉及一种方法，包括通过被配置为由用户佩戴的健身跟踪装置获得用户的多个物理特征，其中所述多个物理特征包括第一年龄和性别 用户; 通过健身跟踪装置将用户的每个身体特征映射到相应的索引，其中用户的第一年龄被映射到多个年龄范围的第一年龄段的第一年龄指数，并且其中性别 用户被映射到第一性别索引; 从所述健身跟踪装置的存储器中选择多个量热法模型的第一量热法模型，其中所述第一量热法模型与包括所述用户的第一年龄指数和所述第一性别指数的每个相应指数相关联; 以及通过所述健身跟踪装置估计使用所述第一量热法模型的能量消耗率，其中所述健身跟踪装置可以包括用于电池功率，处理器速度和存储器容量中的至少一个的约束资源。

    CALCULATING AN ESTIMATE OF WIND RESISTANCE EXPERIENCED BY A CYCLIST
    6.
    发明申请
    CALCULATING AN ESTIMATE OF WIND RESISTANCE EXPERIENCED BY A CYCLIST 审中-公开
    计算循环经验的耐风性估计值

    公开(公告)号：US20170074897A1

    公开(公告)日：2017-03-16

    申请号：US15264976

    申请日：2016-09-14

    Applicant: Apple Inc.

    Inventor： Craig H. MERMEL ,  Alexander SINGH ALVARADO ,  Daniel M. TRIETSCH ,  Hung A. PHAM ,  Karthik Jayaraman RAGHURAM ,  Richard Channing MOORE, III

    IPC: G01P5/00 ,  A63B22/06 ,  G09B19/00 ,  G01L3/24 ,  G01P13/00

    Abstract: Improved techniques and systems are disclosed for determining the components of resistance experienced by a wearer of a wearable device engaged in an activity such as bicycling or running. By monitoring data using the wearable device, improved estimates can be derived for various factors contributing to the resistance experienced by the user in the course of the activity. Using these improved estimates, data sampling rates may be reduced for some or all of the monitored data.

    Abstract translation: 公开了改进的技术和系统，用于确定从事例如骑自行车或跑步的活动的穿戴装置佩戴者经历的阻力部件。 通过使用可穿戴设备监视数据，可以为促进用户在活动过程中经历的阻力的各种因素得出改进的估计。 使用这些改进的估计，可能会降低部分或全部监控数据的数据采样率。

    ACCURATE CALORIMETRY FOR INTERMITTENT EXERCISES
    7.
    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.

    Inventor： Karthik Jayaraman RAGHURAM ,  Hung A. PHAM ,  Richard Channing MOORE, III ,  Alexander SINGH ALVARADO ,  Umamahesh SRINIVAS ,  Xing TAN

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

    CPC classification number: A61B5/0205 ,  A61B5/0002 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/1112 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/1121 ,  A61B5/1123 ,  A61B5/222 ,  A61B5/4866 ,  A61B5/4884 ,  A61B5/681 ,  A61B5/6898 ,  A61B5/7221 ,  A61B5/7246 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7275 ,  A61B2560/0204 ,  A61B2560/0242 ,  A61B2560/0475 ,  A61B2562/0219 ,  A63B22/0605 ,  G01C22/006

    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。

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