Abstract: An input mechanism for generating an input for a search engine, which is of particular use in searching medical databases comprising electrocardiogram (ECG) results. The input for the search engine is constructed in iterative stages, by initializing the input with a placeholder symbol, and iteratively replacing (responsive to a user input) placeholder symbols with input sections. An input section may comprise a variable to be searched, one or more additional placeholder symbols or a function.

Abstract: An input mechanism for generating an input for a search engine, which is of particular use in searching medical databases comprising electrocardiogram (ECG) results. The input for the search engine is constructed in iterative stages, by initializing the input with a placeholder symbol, and iteratively replacing (responsive to a user input) placeholder symbols with input sections. An input section may comprise a variable to be searched, one or more additional placeholder symbols or a function.

Abstract: The invention provides a method for searching a database of ECG data. The method includes, obtaining a reference set of ECG data, wherein the reference set of ECG data comprises ECG data for a plurality of subjects comprising, for each of said subjects, data values for a plurality of characteristic ECG features, and grouping the reference set of ECG data into a plurality of subsets of ECG data, wherein each of the plurality of subsets of ECG data is associated with one of a plurality of characteristic ECG features. A search feature extraction algorithm is applied to the reference set of ECG data to extract at least one characteristic ECG feature as a search feature wherein a search feature is a characteristic ECG feature which enables ECG data of interest to be identified within the database of ECG data and a search criterion is generated based on the search feature. The database is then searched using the search criterion to obtain ECG data of interest.

Abstract: In one embodiment, a method includes identifying one or more channel queues associated with one or more RF channels, wherein the one or more RF channels are associated with a Data Over Cable System Interface Specification (DOCSIS) bonding group and wherein the DOCSIS bonding group receives downstream data from a first node, determining a data usage of the DOCSIS bonding group, determining that a data rate of the downstream data is to be modified based on at least one of the one or more channel queues or the data usage of the DOCSIS bonding group, and causing the first node to modify the data rate of the downstream data based on the determination.

Abstract: In one example, a Cable Modem Termination System (CMTS) determines target Radio Frequency (RF) bandwidth amounts for Data Over Cable System Interface Specification (DOCSIS) bonding groups according to the DOCSIS priority of active flows within the bonding groups. The CMTS then tunes bandwidth allocation amongst the DOCSIS bonding groups according to the target bandwidth amounts. The target bandwidth amounts can be recalculated at intervals, and the bandwidth allocation re-tuned at the intervals, to account for changes in flow activity or DOCSIS priority assignment.

Abstract: In one example, a Cable Modem Termination System (CMTS) determines target Radio Frequency (RF) bandwidth amounts for Data Over Cable System Interface Specification (DOCSIS) bonding groups according to the DOCSIS priority of active flows within the bonding groups. The CMTS then tunes bandwidth allocation amongst the DOCSIS bonding groups according to the target bandwidth amounts. The target bandwidth amounts can be recalculated at intervals, and the bandwidth allocation re-tuned at the intervals, to account for changes in flow activity or DOCSIS priority assignment.