“Multilevel Intelligent Interactive Mobile Health System for Behavioral Physiology Self-Regulation in Real-Time” in Patent Application Approval…
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This patent application has not been assigned to a company or institution.
The following quote was obtained by the news editors from the background information supplied by the inventors: "A big number of medical care focuses is on the illness stage. To a large extent, the disease that are treated almost exclusively are in the chronic illness stage or in the later stages. Today clinicians and health professionals lack sensitive tools and systems to determine individual, and also multilevel baselines of health parameters and early detection of a potential chronic illness. Individuals frequently deny the need for checking their health parameters and act on early signs of a possible unhealthy behavior or illness as they lack tools for self-monitoring with personalized system generating feedback and interpretations of early detection of a problem, recovery solutions, better prevention and monitoring of vital health parameters.
"It is a trend of shifting more attention and resources to preventive care. Early detection of issues before a problem can save many peoples pain from chronic illnesses and life's and even more important it will cure people early and apply additional solutions as part of a preventive health care process. It is also a trend to put more self-responsibility on the human.
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In addition to the background information obtained for this patent application, VerticalNews journalists also obtained the inventor's summary information for this patent application: "According to one aspect of the present invention, an automated method, system, or software recorded on a computer-readable medium is provided, the method for personal health management of a user having a personal user profile, the method performed on a computing device.
"Preferably, the method includes the steps of repeatedly measuring a plurality of health parameters by a mobile electronic device, the health parameters including a heart rate variability, a blood pressure, a motion activity, and a weight of the user, calculating a base line dataset by the computing device for each one of the plurality of health parameters for a predetermined period of time, comparing recently measured health parameters from the step of repeatedly measuring with the base line dataset, and providing on a display that is operatively connected to the computing device a first raw feedback on a health performance of the user based on the step of comparing.
"Moreover, the method further preferably includes the steps of repeatedly prompting the user to answer contextual questions, the contextual questions related to at least one of physical, mental, emotional, and behavioral status of the user, and generating a second detailed feedback based on the personal user profile, the baseline data set, the measured health parameters, and a given context, to determine values for a plurality of health segments, and providing the second detailed feedback to the display of the user, based on a request by the user that includes the given context and data of the plurality of health segments.
"According to another aspect of the present invention, accuracy in measuring, personalized feedback and action system skilled algorithm to interpret and provide training solutions is provided. According to some aspects, the features of the present invention can focus on different health segments, for example ten (10) health segments by an integrated in an intelligent multilevel mobile health system for behavioral physiology self-regulation involving a vast set of sensors already existing in a smartphone or linked to external devices, and intelligent application that process data and provide from accessing data stored on the phone or the cloud with personalized feedback, solutions, training protocols and monitoring of progress and early detection.
"By monitoring different heath parameters that are related to different health segments representing human health risk and behaviors, and provide personalized interpretations and feedback on what to do and how with a monitoring process to re-insure good recovery with major savings, pain can be gained, and prevention through self-learning for happen again. The health segments can be chosen to represent a large percentage of health issues and consequences, for example ten (10) health segments are responsible for twenty (20) of the most known chronic illness which account for 80% of the total health care costs.
"According to another aspect of the present invention, the system interaction between the smartphone of the users, measuring sensors in the smartphone and external health devices, cloud servers and the user him/her self develops related protocols to train them to become more aware and apply validated personalized trained self-regulation protocols which over time when repeated training have occurred successfully high in self-efficacy become trained automated response patterns (TARP).
"The above and other objects, features and advantages of the present invention and the manner of realizing them will become more apparent, and the invention itself will best be understood from a study of the following description with reference to the attached drawings showing some preferred embodiments of the invention."
URL and more information on this patent application, see: Christiansson, Chris.
Keywords for this news article include: Chronic Disease, Disease Attributes, Patent Application, Health and Medicine, Risk and Prevention.
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