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AssigneeHaik Kalantarian
InventorsHaik Kalantarian, Artak Kalantarian, Susan Makarian, Sergey Baghdasaryan
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The invention is a system for remote health monitoring, and a framework for deriving behavioral data from wearable sensors for the screening and tracking of disease. The mobile/wearable computing device captures a host of metrics related to an individual's health, behavior, and wellness. Data from these sensors is aggregated, analyzed, and reported to one or more caregivers via a caregiver dashboard made available as a smartphone, web, or smartwatch application. This data consists of time-sensitive notifications such as falls, wandering, and extreme weather alerts, as well as a holistic profile of the individual's wellness including stress, sleep quality, fitness, and longitudinal lifestyle changes. As the mobile system is used in the field, a large-scale database of behavioral data is generated from the userbase, providing a flexible platform for the longitudinal tracking and screening of a variety of mental, neurological, and physiological disorders.
A system for the remote monitoring of an individual of limited independence by one or more caregivers, comprising:
A method for detecting if a mobile or wearable device is used or worn by interpreting the existence of recent motion of sufficient intensity from motion detector hardware as indication of device adherence, and by further interpreting the absence of significant motion for an extended period of time as indication that the device is unused or not worn.
A method for detecting if the wearer of a mobile device with a motion sensor has fallen down by identifying a high magnitude motion event from a hardware motion sensor.
Dependencies are inferred from the claim text.