IMPLANTABLE DEVICE SYSTEM

• US 20090030487A1
• Filed: 07/24/2007
• Published: 01/29/2009
• Est. Priority Date: 07/24/2007
• Status: Active Grant

• Current Assignee: Biotronik SE & Company KG
• Original Assignee: Biotronik VI Patent AG (Biotronik SE & Company KG)
• Inventors: LANG, Volker
• Granted Patent: US 7,676,272 B2
• Time in Patent Office: Days
• US Class Current: 607/60
• CPC Class Codes: A61N 1/3708 for power depletion
• CPC Class Codes: A61N 1/37282 characterised by communication with experts in remote locations using a network
• CPC Class Codes: Y10S 128/905 Feedback to patient of biological signal other than brain electric signal

Abstract

An implantable device system comprising an implantable medical device, an external transceiver device and a service center. The implantable medical device comprises a battery and an electronic module including a stimulation pulse generator, a sensing stage, a control unit adapted to collect data representing values of operational parameters (e.g. peak or average current consumption, high/low/average voltage level) of the battery and the electronics. The external transceiver device comprises an external transceiver unit and a data communication interface and the service center comprises another data communication interface adapted to allow data communication with the external transceiver device. Service center includes a central database adapted to store data received from the external transceiver per implantable medical device over time, a data evaluation module adapted to evaluate including trending of data stored in the database and a user interface adapted to display trended data and to receive user inputs.

Claims

1. An implantable device system comprising:

an implantable medical device;

an external transceiver device;

a service center;

said implantable medical device comprising a battery and an electronic module including

a stimulation pulse generator adapted to generate electric stimulation pulses and being connected or being connectable to at least a ventricular stimulation electrode for delivering electric stimulation pulses to at least a ventricle of a heart;

at least one sensing stage connected or being connectable to an electrode for picking up electric potentials inside at least a ventricle of a heart, said at least one sensing stage being adapted to sense an excitation or a contraction of ventricular myocardium;

at least one internal sensor that is connected to said battery, said stimulation pulse generator and at least one said sensing stage and that is adapted to collect physical data representing values of operational parameters of said battery and said electronic module comprising a control unit;

said control unit connected to said battery, said stimulation pulse generator and said sensing stage and adapted to collect data representing values of operational parameters of said battery and said electronic module including said control unit;

an implant transceiver unit for wireless communication with said external transceiver device;

said external transceiver device including

an external transceiver unit for wireless communication with said implant transceiver unit;

a data communication interface adapted to allow a data communication with said service center;

said service center including

another data communication interface adapted to allow data communication with said external transceiver device;

a central database connected to said data communication interface for data storage and automatic data analysis that is adapted to store data received from said external transceiver device per implantable medical device over time;

a data evaluation module connected to said database and adapted to evaluate data stored in said database wherein said evaluation includes data trending of stored data;

a user interface connected to said data evaluation module and being adapted to display trended data and to receive user inputs;

wherein said control unit is adapted to

collect data that represent measurements of one or more values of one or more parameters of following operational parameters of said battery and/or said electronic module;

peak current consumption, average current consumption, high/low/average voltage level, charge counter for battery status, programmed versus actual pacing voltage in at least 1 pacing channel, programmed versus actual shock energies (if a defibrillation shock generator is available), charging times, impedance of all pacing and shock electrodes, status of embedded software, in particular number of CPU cycles, number of memory accesses, number of resets;

number of read/write errors;

number of hypo- and hyper-watchdog errors;

number of recoverable and non-recoverable memory corruptions, actual service time, temperature, temperature rise during high-voltage operations, pressure, impedance of components such as resistors, capacitors, self-diagnostic information of an IC, range checks;

initiate transmission of said data to said external transceiver via said implant transceiver;

wherein said external transceiver is adapted to collect automatically data from said implantable medical device and to transmit said data to said central service center;

wherein said data analysis module is adapted to

perform a data analysis in four different levels;

(1) each value against specification;

(2) each value is trended and checked against unexpected changes;

(3) each value is checked if it represents an outlier as compared to all comparable devices; and

,

(4) every value is ranked against other devices to identify a worst device.

2. The implantable device system according to claim 1, wherein said implantable medical device further comprises an impedance determination unit that is connected to said control unit and that comprises:

a constant current source or a constant voltage source having current feed terminals that are connected or can be connected to electrodes for intracorporeal placement and that is adapted to generate sub-threshold measuring current pulses having a constant current strength or a constant voltage, respectively, for causing a current to be fed through a body via intracorporeally placed electrodes;

a measuring unit for measuring a voltage corresponding to a current fed through a body by said constant current source or a current strength of a current fed through a body by said constant voltage source, respectively; and

,

an impedance value determination unit that is connected to said constant current source or said constant voltage source and said measuring unit that is adapted to determine an impedance value for each measuring current pulse.

3. The implantable device system according to claim 1, wherein said external receiver is adapted to add data from said external receiver as a data set including data representing measurements relating to at least one value of one or more parameters including:

peak current consumption, average current consumption, high/low/average voltage level, number of charging cycles, number of successful/dropped MICS, number of successful/dropped LLine/SMS/GPRS/UTMS connections, number of corrupted and uncorrupted data packages.

4. The implantable device system according to claim 1, wherein said implantable medical device and said external transceiver are adapted to generate and transmit one data set per day.

5. The implantable device system according to claim 1, wherein said data analysis module is adapted to compare all measurements against predetermined specifications and to set a flag for each out-of-spec value if an actual value is outside said predetermined specifications.

6. The implantable device system according to claim 1, wherein said data analysis module is adapted to trend all measurements over time and to set an unexpected change flag in case of detection of any unexpected change.

7. The implantable device system according to claim 6, wherein said data analysis module is adapted to set an unexpected change flag if a change >

10% of a measurement is detected in trended data relating to said measurement.

8. The implantable device system according to claim 6, wherein said data analysis module is further adapted to compute consistency checks for interrelated measurements.

9. The implantable device system according to claim 6 wherein said data analysis module is further adapted to perform a comparison between corresponding measurements of different devices if more than 27 comparable devices are available.

10. The implantable device system according to claim 9, wherein said analysis module is adapted to compute for all measurements i of all comparable devices j compute average Ai+standard deviation σ

i and identify devices, for which measurements are outside 3*σ

i.

11. The implantable device system according to claim 9, wherein said analysis module is adapted to compute for all measurements i of all comparable devices j compute the rank Ri and identify devices, for which measurements are >

9th percentile.

12. The implantable device system according to claim 6, wherein said data analysis module is adapted to compare measurements of devices which share a same component.

13. The implantable device system according to claim 12, wherein said data analysis module is adapted to compute an average Ai+standard deviation σ

i for all measurements i of all comparable components k and to identify devices, for which said measurements are outside 3*σ

i.

14. The implantable device system according to claim 1, wherein said service center further comprises a data mining system that is adapted to classify devices which fail one or more criteria.

15. The implantable device system according to claim 1, wherein said service center further comprises an expert system to further compute analyzed data, wherein said expert system implements a rule system to identify previously noted problems.

16. The implantable device system according to claim 14, wherein said expert system is preferably adapted to update a rule system continuously based on data analysis.

17. The implantable device system according to claim 1, wherein said user interface is adapted to display trended data and to receive user inputs for data retrieval and manipulation.