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公开(公告)号：US20160239609A1
公开(公告)日：2016-08-18
申请号：US14624534
申请日：2015-02-17
Applicant: Microsoft Technology Licensing, LLC
Inventor： Victor Vuong , Sarthak Datt , Katherine W. Osborne , Maria Isabel Ancona , Nazia Zaman
CPC classification number: A61B5/4812 , A61B5/4806 , A61B5/4821 , G06F19/00 , G06F19/3418 , G16H10/60 , G16H10/65 , G16H15/00 , G16H40/63
Abstract: A sleep application running on a computing platform such as a server utilizes sleep data from a remote system that monitors a user's sleep behaviors and transforms the data to populate graphs of sleep sessions over various calendar periods (e.g., by week, by month) and render them on a user interface (UI) that is exposed to remote devices such as personal computers (PCs), tablets, multimedia consoles, and smartphones over a network. The sleep sessions are optimized for visibility on the remote devices by dynamically adjusting the range of the time axis of a graph so that a maximum number of sleep sessions over a calendar period may be graphed continuously over the range without breaks (which can impair visibility and reduce comprehension).
Abstract translation: 在诸如服务器之类的计算平台上运行的睡眠应用程序利用来自远程系统的睡眠数据来监视用户的睡眠行为并且转换数据以在不同的日历周期（例如，按周，按月）填充睡眠会话的图形并且呈现 他们在通过网络暴露给个人计算机（PC），平板电脑，多媒体控制台和智能手机等远程设备的用户界面（UI）上。 睡眠会话通过动态调整图表的时间轴范围，通过动态调整图表的时间轴范围来优化远程设备上的可见性，以便在一个日历时间段内的最大睡眠会话次数可以连续绘制在该范围内，而不会发生中断（这可能会损害可见性和 减少理解）。
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公开(公告)号：US20180232491A1
公开(公告)日：2018-08-16
申请号：US15605615
申请日：2017-05-25
Applicant: Microsoft Technology Licensing, LLC
Inventor： Abhijeet Thacker , Andrew M. Butler , Claire Wolf , Kevin James Eger , Krysta Yousoufian , Matthew G.R. Fraser , Michael Burford , Rouella J. Mendonca , Sarthak Datt , Victor Vuong , Yazan Al-Alul , Katherine W. Osborne , Wil Voss , Kay Hofmeester
IPC: G06F19/00
CPC classification number: A61B5/021 , A61B5/1118 , G06F19/328 , G06F19/3418 , G06F19/3481 , G16H10/60 , G16H20/30 , G16H20/60 , G16H40/63 , G16H50/50 , G16H80/00
Abstract: In example embodiments, a machine receives, from a computing device of a health professional, a treatment plan for a patient. The machine receives, from a plurality of devices associated with the patient, activity data related to the patient. The machine determines that the activity data is related to compliance with the treatment plan. The machine provides, in response to determining that the activity data is related to compliance with the treatment plan, the activity data to the computing device of the health professional.
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公开(公告)号：US10206618B2
公开(公告)日：2019-02-19
申请号：US14624534
申请日：2015-02-17
Applicant: Microsoft Technology Licensing, LLC
Inventor： Victor Vuong , Sarthak Datt , Katherine W. Osborne , Maria Isabel Ancona , Nazia Zaman
Abstract: A sleep application running on a computing platform such as a server utilizes sleep data from a remote system that monitors a user's sleep behaviors and transforms the data to populate graphs of sleep sessions over various calendar periods (e.g., by week, by month) and render them on a user interface (UI) that is exposed to remote devices such as personal computers (PCs), tablets, multimedia consoles, and smartphones over a network. The sleep sessions are optimized for visibility on the remote devices by dynamically adjusting the range of the time axis of a graph so that a maximum number of sleep sessions over a calendar period may be graphed continuously over the range without breaks (which can impair visibility and reduce comprehension).
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公开(公告)号：US20180232492A1
公开(公告)日：2018-08-16
申请号：US15605723
申请日：2017-05-25
Applicant: Microsoft Technology Licensing, LLC
Inventor： Yazan Al-Alul , Michael K. Neville , Matthew G.R. Fraser , Sarthak Datt , Rouella J. Mendonca , Victor Vuong , Krysta Yousoufian
IPC: G06F19/00
CPC classification number: A61B5/021 , A61B5/1118 , G06F19/328 , G06F19/3418 , G06F19/3481 , G16H10/60 , G16H20/30 , G16H20/60 , G16H40/63 , G16H50/50 , G16H80/00
Abstract: In example embodiments, a machine receives, at a server and from a computing device of a health professional, a treatment plan for a patient, the treatment plan comprising a plurality of tasks and a physiological goal. The machine receives, from a plurality of devices associated with the patient, activity data and physiological data related to the patient. The machine determines, based on the activity data and the physiological data, the patient's compliance with one or more tasks in the treatment plan. The machine updates the treatment plan based on the patient's compliance with the one or more tasks, the physiological goal, and a model based on an information tuple about the patient.
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