Patent ID: 9747421
Date: 2017-08-29
CPC Classifications: A61B,G01R,G16H

Claim:
1. A multi-factor medical data decision support system, comprising: an analysis server communicatively coupled to a computing device, the analysis server comprising: (a) an analysis manager which receives medical data measured from a patient located at a remote site, the medical data comprising electroencephalogram (EEG) measurements taken from at least one of a plurality of frequency channels and a plurality of electrodes positioned on the patient's head and MRI brain segmentation results taken from the patient and (b) a web interface for communication with a client located at the remote site; a plurality of analytic modules coordinated by the analysis manager for analyzing the medical data by generating, concurrently with brain extraction performed by the analysis manager, a report comprising at least two of: coherences corresponding to a plurality of brain regions' EEG signal pairs, results of abnormal activity detection, and source identification and localization wherein each of the one or more coherences is calculated as the correlation coefficient of phases between a first EEG signal of the signal pair corresponding to a first brain region of the patient and a second signal of the signal pair corresponding to a second brain region of the patient, wherein each of the plurality of analytic modules is configured for independent loading and execution; a non-transitory storage in data communication with the analysis server and the one or more analytic modules, wherein the storage stores at least one of measured medical data and processed medical data; wherein the analysis manager distributes the generation of the report into a plurality of tasks to be performed by parallel analytic modules comprising: (a) calculating the one or more coherences of the plurality of brain regions' EEG signal pairs for each of the at least one of a plurality of frequency channels and a plurality of electrodes, (b) processing for high or low levels of energy to detect abnormal activity, and (c) identifying and localizing the source of the medical data being analyzed, wherein the analysis manager comprises a scheduler configured to communicate with the analytic modules to allocate the plurality of tasks to be performed in parallel to the plurality of analytic modules for independent loading and execution, wherein the analysis manager is configured to instantiate and execute the analytic modules to perform the allocated tasks in parallel; wherein the analysis manager divides the medical data into a plurality of time sections to be processed in parallel by the analytic modules and filters each of the plurality of time sections to remove independent component analysis (ICA) artifacts from the medical data; and wherein the web interface is configured to provide the report to the client located at the remote site, the report comprising graphic analysis results and at least one coherence map generated by the analytic modules by aggregating the one or more coherences corresponding to a plurality of brain regions' EEG signal pairs.