Abstract: A trimmer and mower which utilizes a string cutting type apparatus includes a stabilizing third wheel positioned ahead of the trimmer head which enables safer and easier manipulation and control of the trimmer. The trimmer and mower includes a third wheel attachment apparatus which provides increased strength and rigidity of the motor support platform and more reliably protects the operative components of the trimmer and mower supported on the underside of the engine support platform.

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: 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.

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.

Abstract: In example embodiments, a machine receives a medical record of a patient. The machine receives, from devices associated with the patient, activity data and physiological data related to the patient. The machine normalizes the activity data and the physiological data. The machine determines adherence to one or more tasks in a treatment plan based on the medical record, the activity data, and the physiological data by comparing the medical record, the activity data or the physiological data with one or more threshold values, the one or more threshold values residing in a medical data repository or being provided from a computing device of a health professional. The machine selects, for provision to a health professional, a portion of the medical record, a portion of the activity data, and a portion of the physiological data based on a specification provided by the health professional and permission provided by the patient.

Abstract: In example embodiments, a machine receives, from a first computing device of a first health professional, a first treatment plan for a patient. The machine receives, from a second computing device of a second health professional, a second treatment plan for the patient. The machine receives, from a plurality of devices associated with the patient, activity data related to the patient. The machine stores, in a data repository, the first treatment plan, the second treatment plan, and the activity data.

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: The description relates to emergency medical profiles and techniques for creating and accessing emergency medical profiles. One implementation can receive an access request to obtain emergency medical information from a personal health account of a patient. The personal health account can contain dynamically updateable patient information that is organized into a set of categories. This implementation can also provide the emergency medical information responsive to the request. In this case, the emergency medical information can be provided in the form of summarized information from a sub-set of the categories of the patient information contained in the personal health account.