Abstract: The medical data analysis system automatically identifies medical information sources which correlate to anomalies identified in a set of patient medical data relating to an identified patient. The system includes a digital library for providing access to a plurality of information sources which relate to interpreting patient medical data and possible diseases associated with the patient medical data. A data characterization module calculates normative variations of a set of patient medical data to identify anomalies. Based upon this statistical analysis, a digital library interface module searches the digital library for information sources relating to the set of patient medical data and interpretations of the identified anomalies. There is also an information access module which provides an authorized user, such as a physician, with access to the information sources returned by the digital library interface module and relating to this set of patient medical data.

Abstract: The Medical Diagnostic Apparatus implements a physician-operated medical data analysis system for assisting a physician in identifying ailments and conditions which correlate to anomalies identified in a set of patient medical data relating to an identified patient. This system includes a plurality of biomarkers which relate to interpreting patient medical data and possible ailments associated with patient medical data. A data characterization module displays biomarkers selected by a physician and a set of patient medical data, collected from and about an identified patient, to compare the set of patient medical data with biomarkers of known ailments to enable the physician to identify an ailment representative of the patient medical data.

Abstract: The Patient Data Management System operates under the control of a physician to implement a patient-specific instance of the apparatus which is capable of accessing at least one data manipulation module, each defining at least one process for transforming patient medical data pursuant to a predefined schema. A patient medical data processor is responsive to the physician selecting a set of patient medical data, at least one of the data manipulation modules, and an order of applying the selected data manipulation modules to the selected patient medical data for processing the selected patient medical data using the selected data manipulation modules in the selected order to identify data indicative of a predetermined condition in the selected patient medical data. A display is available for presenting a visualization of the data indicative of a predetermined condition in the selected patient medical data.

Abstract: The Patient Data Management System operates under the control of a physician to implement a patient-specific instance of the apparatus which is capable of accessing at least one data manipulation module, each defining at least one process for transforming patient medical data pursuant to a predefined schema. A patient medical data processor is responsive to the physician selecting a set of patient medical data, at least one of the data manipulation modules, and an order of applying the selected data manipulation modules to the selected patient medical data for processing the selected patient medical data using the selected data manipulation modules in the selected order to identify data indicative of a predetermined condition in the selected patient medical data. A display is available for presenting a visualization of the data indicative of a predetermined condition in the selected patient medical data.

Abstract: The Medical Diagnostic Apparatus implements a physician-operated medical data analysis system for assisting a physician in identifying ailments and conditions which correlate to anomalies identified in a set of patient medical data relating to an identified patient. This system includes a plurality of biomarkers which relate to interpreting patient medical data and possible ailments associated with patient medical data. A data characterization module displays biomarkers selected by a physician and a set of patient medical data, collected from and about an identified patient, to compare the set of patient medical data with biomarkers of known ailments to enable the physician to identify an ailment representative of the patient medical data.

Abstract: The EEG Processing Unit comprises a semi-rigid framework which substantially conforms to the Patient's head and supports a set of electrodes in predetermined loci on the Patient's head to ensure proper electrode placement. The EEG Processing Unit includes automated connectivity determination apparatus which can use pressure-sensitive electrode placement ensuring proper contact with Patient's scalp and also automatically verifies electrode placement via measurements of electrode impedance through automated impedance checking. Voltages generated by the electrodes are amplified and filtered before being transmitted to an analysis platform, which can be a Physician's laptop computer system, either wirelessly or via a set of tethering wires. The EEG Processing Unit includes an automatic artifacting capability which identifies when there is sufficient clean data compiled in the testing session. This process automatically eliminates muscle- or other physical-artifact-related voltages.

Abstract: The Customized Medical Diagnostic Apparatus operates under the control of a physician to implement a patient-specific instance of the apparatus by identifying medical information sources, retrieved from a Digital Library, which correlate to anomalies identified in a set of patient medical data relating to an identified patient or identified class of patient. The system includes a Digital Library for providing access to a plurality of information sources which relate to interpreting patient medical data and possible ailments associated with the patient medical data. A data characterization module calculates control variations of a set of patient medical data to identify anomalies. Based upon this statistical analysis, a Digital Library interface module searches the Digital Library for information sources relating to the set of patient medical data and interpretations of the identified anomalies.