Wavi

Wavi Co.

David Oakley

Edward Lafe Altshuler

Michael Hickey

Scott Seamans

Ambarish Jash

Andre Joffe

Francis Palermo

Hunter Velds

David Joffe

Owen S Robertson

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).

Multi-function apparatus, systems and methods for receiving signals from a human subject's head

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.

Apparatus, systems and methods for receiving signals from a human subject's brain

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.

Patient data management apparatus for comparing patient data with ailment archetypes to determine correlation with established ailment biomarkers

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.

Systems and methods for building medical diagnostic apparatus using a digital library

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.

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Boulder, CO, United States of America

David Oakley