Abstract:
Systems and methods for automatically displaying patterns in biological data may include one or more processors, and machine readable instructions. The machine readable instructions can cause the one or more processors to divide biological data into segments of interest. The one or more processers can transform, automatically, each of the segments of interest into a set of features according to a mathematical algorithm. Further, the one or more processers can cluster, automatically, the segments of interest into groups of clustered segments according to a clustering algorithm. The segments of interest can be grouped in the groups of clustered segments based at least in part upon the set of features. A cluster center can be associated with one of the groups of clustered segments. Moreover, the one or more processers can present, automatically, the cluster center on a human machine interface.
Abstract:
A diabetes management system includes a handheld medical device, a mobile computing device, and a diabetes management application. The handheld medical device is configured to determine, in response to a port receiving a test strip, whether an auto-send feature is enabled on the handheld medical device, determine whether the handheld medical device is paired with a mobile computing device, and selectively instruct a wireless transceiver to establish a wireless connection and communicate a glucose measurement and identifying information to the mobile computing device. The mobile computing device is configured to execute the diabetes management application. The diabetes management application is configured to process a plurality of glucose measurements and identifying information associated with each of a plurality of glucose measurements.