METHODOLOGY FOR AUTOMATED SIGNAL MORPHOLOGY ANALYSIS IN IMPLANTABLE ELECTROTHERAPY AND DIAGNOSTIC SYSTEMS
First Claim
1. An advanced patient management system, comprising:
- an implanted medical device configured to generate a plurality of intra-cardiac electrograms and a plurality of event markers; and
a repeater unit configured to collect the electrogram signal;
wherein the system is configured to compile the plurality of electrogram and event markers over time as waveform data and identify threshold deviations in the waveform data over time.
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Abstract
Systems and related methods for analyzing data sensed from a device implanted in a patient, such as a cardiac pacing system. The system detects and evaluates electric signals within the patient that share a common event marker. By using algorithms and graphical presentation of the collected signals having common event markers, deviations in signals over time can be identified and evaluated in consideration of taking further action related to the patient and the implanted device. The system can also be used in conjunction with an advanced patient management system that includes a programmer or repeater capable of gathering information from the implanted device and transmitting the data to a host via a communications network for evaluation at a remote location.
18 Citations
20 Claims
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1. An advanced patient management system, comprising:
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an implanted medical device configured to generate a plurality of intra-cardiac electrograms and a plurality of event markers; and a repeater unit configured to collect the electrogram signal; wherein the system is configured to compile the plurality of electrogram and event markers over time as waveform data and identify threshold deviations in the waveform data over time. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of analyzing signal morphology in a patient using an implanted device, the method comprising:
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generating a plurality of electric signals and event markers with the implanted device; collecting the electric signals and event markers; compiling the collected electric signals and event markers as current waveform data; and detecting threshold deviations in the waveform data over time. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification