Abstract: Data structures, methods, and apparatus useful in configuring agent services operating in a storage area network are provided. The data structures may include a list of agent types for which agent services are configurable for operation by agents of those agent types in a storage area network; for each agent type in the list of agent types, a corresponding list of configurable agent services operable by agents of the agent type; for each configurable agent service in each list of configurable agent services, a corresponding list of configurable parameters for the configurable agent service; and for each configurable parameter in each list of configurable parameters, at least one parameter value associated with the configurable parameter. Procedures and apparatus are provided for configuring agent services by updating elements of the data structures and providing the updated elements to the agent services.

Abstract: Atrial capture threshold testing is performed in accordance with an atrial capture threshold testing schedule. Monitoring for retrograde P-waves occurs at least during times other than times during which scheduled atrial capture threshold testing is performed. In response to detecting a retrograde P-wave indicative of sub-threshold atrial pacing during monitoring, an unscheduled atrial capture threshold test is performed and pacing of the atrium is adjusted based on the unscheduled atrial capture threshold test.

Abstract: Systems and methods for determining depth of discharge for implantable device batteries are provided. One aspect of this disclosure relates to a method for determining depth of discharge for a battery in an implantable medical device. Voltage recovery of the battery is measured subsequent to a predetermined event. Measured voltage recovery data is stored in a database adapted to store data for one or more devices. Measured voltage recovery data is compared with stored voltage recovery data to determine battery depth of discharge. According to various embodiments, battery capacity consumed is measured using a coulometer and using a capacity-by-voltage device. Measured battery capacity consumed is combined with measured voltage recovery data using a predetermined weighted average, and the combined data is stored in the database. The stored data is used to determine battery depth of discharge, according to an embodiment.

Abstract: One aspect of this disclosure relates to a system for dynamic battery management in implantable medical devices. An embodiment of the system includes two or more devices for measuring battery capacity for an implantable medical device battery. The embodiment also includes a controller connected to the measuring devices. The controller is adapted to combine the measurements from the measuring devices using a weighted average to determine battery capacity consumed. According to various embodiments, at least one of the measuring devices includes a coulometer. At least one of the measuring devices includes a capacity-by-voltage device, according to an embodiment. The system further includes a display in communication with the controller in various embodiments. The display is adapted to provide a depiction of battery longevity in units of time remaining in the life of the implantable medical device battery, according to various embodiments. Other aspects and embodiments are provided herein.

Abstract: A method of generating a test database from a deployed database by “sanitizing”, or removing sensitive data, is employed for recreating problem scenarios from a customer site, verifying compatibility of customer data with database version updates, and for performance testing using actual, rather than generated, database structures. In database management operations, in can be beneficial to use data generated from actual operational scenarios rather than artificially generated data created from a test pattern. Data generated from actual operation, such has at a customer site, assures compatibility with the relation patterns and record volumes employed by the customer (user). However, databases often contain sensitive information that would be inappropriate, illegal, or vulnerable in a testing environment. Accordingly, the generated test database overwrites sensitive data values with benign, or generic values while preserving the structure and relations of the data stored.

Abstract: One aspect of this disclosure relates to a system for dynamic battery management in implantable medical devices. An embodiment of the system includes two or more devices for measuring battery capacity for an implantable medical device battery. The embodiment also includes a controller connected to the measuring devices. The controller is adapted to combine the measurements from the measuring devices using a weighted average to determine battery capacity consumed. According to various embodiments, at least one of the measuring devices includes a coulometer. At least one of the measuring devices includes a capacity-by-voltage device, according to an embodiment. The system further includes a display in communication with the controller in various embodiments. The display is adapted to provide a depiction of battery longevity in units of time remaining in the life of the implantable medical device battery, according to various embodiments. Other aspects and embodiments are provided herein.

Abstract: This document discusses, among other things, systems and methods for automatic electrode integrity management. Interelectrode impedance is measured for various electrode combinations of an implantable cardiac function management device. The impedance data is processed, such as at an external remote server, to determine whether an electrode is failing or has failed, to select an alternate electrode configuration, to alert a physician or patient, to predict a time-to-failure such as by using population data, or to reprogram electrode configuration or other device parameters of the implantable cardiac function management device.

Abstract: Atrial capture threshold testing is performed in accordance with an atrial capture threshold testing schedule. Monitoring for retrograde P-waves occurs at least during times other than times during which scheduled atrial capture threshold testing is performed. In response to detecting a retrograde P-wave indicative of sub-threshold atrial pacing during monitoring, an unscheduled atrial capture threshold test is performed and pacing of the atrium is adjusted based on the unscheduled atrial capture threshold test.

Abstract: Abnormal battery depletion can be detected in an implantable medical device. Battery capacity consumed can be measured using a coulometer and using a capacity-by-voltage device, and the measurements can be blended to determine battery status. A drop in battery voltage below a specified threshold can be detected to identify a high-current depletion fault, and an alarm can be provided to indicate the fault has been detected. The specified threshold can be determined as a function of battery capacity consumed. Other aspects and embodiments are provided herein.

Abstract: Atrial capture threshold testing is performed in accordance with an atrial capture threshold testing schedule. Monitoring for retrograde P-waves occurs at least during times other than times during which scheduled atrial capture threshold testing is performed. In response to detecting a retrograde P-wave indicative of sub-threshold atrial pacing during monitoring, an unscheduled atrial capture threshold test is performed and pacing of the atrium is adjusted based on the unscheduled atrial capture threshold test.

Abstract: A SAN management application maintains configuration information in a near real-time (RT) manner for timely and accurate responses to queries. A database manager responsive to the management application aggregates information concerning both current and historical configurations by combining current and historical information sets as a common (DB) database portal responsive to an individual query for configuration data from both current and historical data. The common portal avoids redundant and duplicative entries between the current and historical information sets, and is responsive to the management application for maintaining each change on only one of the current and historical information sets. Configuration changes add, update and move data items between the current and historical information sets, but need not store a configuration change in both the current and history information sets.

Abstract: A database environment includes a staging database and master database. Among other functions, the staging database provides a location to store data prior to be copied over the master database. Each time the database environment is modified (e.g., a developer specifies a different configuration associated with the staging database and/or the master database), a database administrator initiates execution of an auto-repository process to automatically generate a corresponding new set of routines enabling management of the database environment. Accordingly, each time there are changes to (one or more schemas associated with) the database environment, there is no need for a programmer to manually modify the corresponding management routines based on the changes. Instead, the auto-repository process automatically generates the corresponding set of custom routines to enable management of the database environment.

Abstract: A system receives a dataset for storing in a staging database. The dataset contains network management data collected from a managed resource. The system stores the dataset in the staging database, and maintains a changeset identifying changes made to the staging database during the step of storing the dataset. The system synchronizes the staging database and the production database with each other using the changeset.

Abstract: A system detects an event suggesting a data discrepancy between a staging database and a production database that maintain network management data within a network management system. The staging database is logically separate from the production database. The system prevents modification to the production database, and replaces data in the staging database with data from the production database. The system then allows modification to the production database.

Abstract: A method of generating a test database from a deployed database by “sanitizing”, or removing sensitive data, is employed for recreating problem scenarios from a customer site, verifying compatibility of customer data with database version updates, and for performance testing using actual, rather than generated, database structures. In database management operations, in can be beneficial to use data generated from actual operational scenarios rather than artificially generated data created from a test pattern. Data generated from actual operation, such has at a customer site, assures compatibility with the relation patterns and record volumes employed by the customer (user). However, databases often contain sensitive information that would be inappropriate, illegal, or vulnerable in a testing environment. Accordingly, the generated test database overwrites sensitive data values with benign, or generic values while preserving the structure and relations of the data stored.

Abstract: Systems and methods for determining depth of discharge for implantable device batteries are provided. One aspect of this disclosure relates to a method for determining depth of discharge for a battery in an implantable medical device. Voltage recovery of the battery is measured subsequent to a predetermined event. Measured voltage recovery data is stored in a database adapted to store data for one or more devices. Measured voltage recovery data is compared with stored voltage recovery data to determine battery depth of discharge. According to various embodiments, battery capacity consumed is measured using a coulometer and using a capacity-by-voltage device. Measured battery capacity consumed is combined with measured voltage recovery data using a predetermined weighted average, and the combined data is stored in the database. The stored data is used to determine battery depth of discharge, according to an embodiment.

Abstract: Techniques herein involve anticipating the application of a command to modify objects having associated object data stored in a relational database. Prior to receipt of an object modification command that causes a modification to a respective object and/or an object hierarchy, a computer process generates a set of operational instructions to carry out the object modification command. Generally, the computer process analyzes a structure for storing object data in a relational database to identify information in the relational database that will be impacted as a result of executing a corresponding object modification command. Based on analysis of the structure, the computer process generates the set of operational instructions. The execution of the set of operational instructions to carry out the command causes the respective object and/or object hierarchy to be modified as well as causes a corresponding modification to contents of a relational database storing respective object data.

Abstract: Abnormal battery depletion can be detected in an implantable medical device. Battery capacity consumed can be measured using a coulometer and using a capacity-by-voltage device, and the measurements can be blended to determine battery status. A drop in battery voltage below a specified threshold can be detected to identify a high-current depletion fault, and an alarm can be provided to indicate the fault has been detected. The specified threshold can be determined as a function of battery capacity consumed. Other aspects and embodiments are provided herein.

Abstract: Atrial capture threshold testing is performed in accordance with an atrial capture threshold testing schedule. Monitoring for retrograde P-waves occurs at least during times other than times during which scheduled atrial capture threshold testing is performed. In response to detecting a retrograde P-wave indicative of sub-threshold atrial pacing during monitoring, an unscheduled atrial capture threshold test is performed and pacing of the atrium is adjusted based on the unscheduled atrial capture threshold test.

Abstract: A system receives a dataset for storing in a staging database. The dataset contains network management data collected from a managed resource. The system disengages a connection between the staging database and a production database, and stores the dataset in the staging database. The system then re-engages the connection between the staging database and the production database.