Abstract: In one embodiment of the invention, an interactive vital signs scanning method is disclosed including concurrently scanning for a plurality of vital signs with a portable vital signs scanner; detecting movement of the portable vital signs scanner during the scanning for the plurality of vital signs; and determining a measure of quality of the scanning for the plurality of vital signs with the portable vital signs scanner. In another embodiment, a method of improving the quality of vital signs data is disclosed including concurrently sensing data from a plurality of vital signs sensors over a period of time with a portable vital signs scanner; determining a plurality of vital sign values for a respective plurality of vital signs in response to the sensed data from the plurality of vital signs sensors over the period of time; and fusing at least two vital sign values of the plurality of vital sign values for the respective plurality of vital signs.

Abstract: In one embodiment of the invention, a system for periodically and simultaneously scanning for a plurality of vital signs of a user is disclosed. The system includes a personal portable wireless vital signs scanner having a pair of electrodes to form a circuit with a user's body; and a personal wireless multifunction device wirelessly in communication with the personal portable wireless vital signs scanner. Users may tag their vital signs scans with additional information. Vital signs data may be stored on non-volatile memory on the multifunction device and periodically uploaded to a vital signs storage server. The accumulated vital signs data is used to build the user's canonical curve. In another embodiment of the invention, multiple users may upload their vital signs to a group vital signs server. Group vital sign reference curves can made with the group data obtained. Group data may be compared with the user's personal vital sign data and health recommendations made accordingly to the user.

Abstract: An automated personal medical diagnostic system and arrangement, including: at least one sensor configured to measure and/or sense at least one physiological condition and generate or acquire sensor data; at least one computing device configured to process at least a portion of the sensor data and generate diagnostic data based at least partially on the sensor data; and at least one user interface configured for user interaction; wherein the diagnostic data at least partially comprises at least one of the following: indicator data, medical diagnostic data, trigger data, or any combination thereof. A method for automated medical diagnosis is also disclosed.