System and method of discovering, detecting and classifying alarm patterns for electrophysiological monitoring systems

A method for electrophysiological monitoring comprising steps of:

• receiving a monitoring signal derived from a patient wherein the monitoring signal provides an alarm sequence;
• developing a suffix substring data structure to identify a plurality of alarm patterns from the alarm sequence;
• generating an incidence vector that determines a relative incidence of each type of alarm pattern with respect to the plurality of alarm patterns in the alarm sequence;
• grouping the incidence vector in a cluster using a clustering algorithm;
• classifying one or more patients according to their pattern incident rates which are obtained by extraction of (possibly concurrent) alarm patterns and
• storing the classification of the incidence vector in a database.

A method for electrophysiological monitoring that detects and classifies alarm patterns comprising steps of:

• receiving a monitoring signal from a patient wherein the monitoring signal provides an alarm sequence, wherein the alarm sequence includes at least one alarm pattern;
• developing a suffix substring data structure in real-time to identify alarm patterns of medical interest contained in the alarm sequence;
• generating an incidence vector in response to the suffix substring data structure;
• classifying the alarm sequence to a classification cluster using a classification algorithm based on the incidence vector;
• and
• alerting monitoring personnel to indicate a condition corresponding to the cluster after processing the alarm sequence in real-time.