Abstract: Apparatus, systems and methods for receiving signals from a human subject's head includes a headset having a plurality of electroencephalographic “(EEG”) electrodes associated therewith for facilitating receiving EEG signals from the subject's head and at least one ear clip configured to be releasably secured to the subject's ear(s).

Abstract: Apparatus and methods for use in connection with receiving signals from a human subject's head through the scalp thereof includes a removable headset having a plurality of electrode stations and intermediate portions. Each electrode station includes an electrode aperture extending therethrough and a biasing flap coupled to the headset and at least partially aligned over the associated electrode aperture. A plurality of removable electrodes is releasably engageable with the headset and configured to be releasably suspended within the electrode apertures and biased between the headset and the subject's head by the associated biasing flaps.

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 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 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 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.

Abstract: A multiple power mode amplifier provides a low and a high power mode without using switches. This amplifier may be used in radio frequency (RF) applications such as mobile telephones, pagers, portable digital assistants, and wireless e-mail devices. In the low power mode, the power consumption of the amplifier is reduced, which will increase operation time, especially important for battery-operated devices. In one implementation, the amplifier includes a number of impedance matching network units (130, 140, 150, and 160), impedance transformer (170), and a power stage (120). An implementation provides further power consumption savings by modulating a bias of an amplifier stage.