Anomaly detection for compression
AssigneesDexCom, Inc., Universita' Degli Studi Di Padova
InventorsAndrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Elena Idi, Eleonora Manzoni
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AssigneesDexCom, Inc., Universita' Degli Studi Di Padova
InventorsAndrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Elena Idi, Eleonora Manzoni
Estimating the term…
An unsupervised method of detecting a pressure induced sensor artifact (PISA) in an analyte signal includes receiving an analyte trace having a plurality of data samples obtained over a period of time. A plurality of predetermined features reflective of a PISA in the analyte trace is extracted to produce a plurality of data points in a feature space defined by the plurality of predetermined features. The data points in the feature space are analyzed using an unsupervised anomaly detection algorithm to produce an anomaly score for each of the data points. Data points that have an anomaly score that exceeds a threshold are identified. An alert is generated indicating that a PISA is present in data samples associated with the data points that have an anomaly score that exceeds the threshold.
An unsupervised method of detecting a pressure induced sensor artifact (PISA) in an analyte signal, comprising:
A system for detecting a pressure induced sensor artifact (PISA) in an analyte signal, the system comprising:
A computer-readable medium comprising instructions which, when executed by a processor, cause the processor to perform a method for detecting a pressure induced sensor artifact (PISA) in an analyte signal, noise reduction in analyte data, the method comprising:
Dependencies are inferred from the claim text.