University of California

Empire Technology Development LLC

Ani Nahapetian

Miodrag Potkonjak

Majid Sarrafzadeh

Alireza Vahdatpour

Mahsan Rofouei

A location of a sensor is determined by: (1) receiving time series data including components in a plurality of dimensions, wherein the time series data correspond to measurements of the sensor that is applied to a subject; (2) determining a plurality of subsequences associated with the time series data, wherein each of the plurality of subsequences represents a characteristic pattern projected along one of the plurality of dimensions; (3) identifying a correlated subset of the plurality of subsequences as at least one instance of an activity of the subject; and (4) based on features of the correlated subset, determining the location of the sensor as applied to the subject.

Apparatus, system, and method for automatic identification of sensor placement

A semantic medical technology is disclosed. In various embodiments, the technology organizes an initial data collection to collect data from the one or more sensors; processes the data to obtain an initial diagnosis wherein the initial diagnosis can be a syntax diagnosis or a semantic diagnosis; identifies an organization for an additional data collection to collect additional data; analyzes the additional data to obtain a refined diagnosis; and repeats the identifying and analyzing until a stopping criterion is satisfied.

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Glendale, CA, United States of America

Ani Nahapetian