Abstract: A surgical instrumentation system has a single-use instrument kit for fitting implants and at least one sterile implant kit, each of the kits comprising an identifier, at least one of the kits contains a unique identifier, as well as a medium for recording additional identifiers, one of the additional identifiers being a patient code, collected when the kit is used, and at least one other additional identifier being the identifier of at least one complementary kit comprising an identifier transferable to the additional-identifier recording medium, when the complementary kit is used. A method for implementing such a system is also described.

Abstract: Methods and apparatus for coding a digital data string to represent a sequence of acoustic frequencies to be transmitted as an acoustic signal by a genuine acoustic authentication device; related to providing for improving the rate of successfully detecting a valid data string contained in the acoustic signal transmitted by the device. Each of a plurality of groups of bits of the data string are coded to represent a respective frequency value set of one or more acoustic frequencies to be transmitted acoustically to represent the respective group of bits. The number of acoustic frequencies in a frequency value set is less than the number of bits in the respective group of bits that the frequency value set represents. For each of the plurality of groups of bits of the data string, the respective frequency value set is selected according to a predetermined frequency assignation pattern that provides for probabilistic transition coding used for error correction of the acoustic signal.

Abstract: A method and system for detecting certain types of content, such as advertisements, using acoustical means from a media stream. The method uses two matching processes to detect and identify repeated content, the starting and end boundaries of which are then found. This content is used as the basis to find non-repeated content (such as less-frequently repeated advertisements) that are typically located in proximity to repeated content and can be evaluated using Gaussian mixture models (GMMs). The system that implements this method can be used for advertisement detection and monitoring for traditional media, such as television and radio, as well as for Internet-based media, such as streaming video, streaming audio and podcasts. The system can also be used to detect and identify copyrighted material in Internet traffic.