Application US20190209022 AI Biotech/Diagnostics: Cardio

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Application US20190209022

Published 2019-07-11

Wearable Electronic Device And System For Tracking Location And Identifying Changes In Salient Indicators Of Patient Health

A wearable electronic device, a system and methods of monitoring with a wearable electronic device. The device includes a hybrid wireless communication module with wireless communication sub-modules to selectively acquire location data from both indoor and outdoor sources, as well as a wireless communication sub-module to selectively transmit an LPWAN signal to provide location information based on the acquired data. The device may also include one or more sensors to collect one or more of environmental data, activity data and physiological data. The device may transmit some or all of its acquired data to a larger system, including a cloud-based server to, in addition to providing location-based data, be used as a part of a predictive health care protocol to correlate changes in acquired data to salient indicators of the health of a wearer of the device. In one form, the predictive health care protocol uses a machine learning model.

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49 Independent Claims

1. A wearable electronic device comprising: a platform configured to be secured to an individual; a source of electric current; and a hybrid wireless communication module supported by the platform and receiving electric power from the source of electric current, the hybrid wireless communication system comprising: a first wireless communication sub-module that during operation thereof selectively receives location data in the form of a beacon signal; a second wireless communication sub-module that during operation thereof selectively receives location data in the form of a global navigation satellite system signal; and a third wireless communication sub-module that during operation thereof transmits a low-power wide area network signal that provides at least location indicia of the wearable electronic device based on the received location data from at least one of the first and second wireless communication sub-modules.
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53. A method of using a machine learning model to evaluate a health condition of an individual, the method comprising: acquiring, using a wearable electronic device, location data from at least one of Bluetooth Low Energy location data and global navigation satellite system location data; acquiring, with a plurality of sensors that are formed as part of the wearable electronic device, at least one of environmental data, activity data and physiological data; wirelessly transmitting at least one of the location data, environmental data, activity data and physiological data from the wearable electronic device to a wireless low power wide area network receiver using a star topology network; and executing the machine learning model to provide indicia of the health condition based at least in part on the location data, environmental data, activity data and physiological data, wherein the executing takes place using a non-transitory computer readable medium, a processor and a set of machine codes within a predefined native instruction set such that a predefined set of operations is performed by the processor in response to receiving a corresponding instruction selected from the set of machine codes comprising: a machine code that analyzes at least a portion of at least one of the location data, environmental data, activity data and physiological data once the machine learning model has been trained by at least one machine learning algorithm, and a machine code that causes the analyzed data to be output to a caregiver.
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66. A wearable electronic device for tracking a patient comprising: a processor; a power source electrically connected to the processor; a first wireless communication sub-module comprising a Bluetooth Low Energy chipset communicatively connected to the processor and configured to receive Bluetooth Low Energy location information; a second wireless communication sub-module comprising a global navigation satellite system chipset communicatively connected to the processor and configured to receive global navigation satellite system location information; and a third wireless communication sub-module comprising a low-power wide area network chipset communicatively connected to the processor and configured to provide location indicia of the wearable electronic device based on location information from at least one of the first and second wireless communication sub-modules.