Cardiac Pacemakers, Inc.

Other

Shijie Zhang

David L Perschbacher

Dan Li

Yanting Dong

Deepa Mahajan

Abhilash Patangay

Yayun Lin

Derek Daniel Bohn

Chenguang Liu

A system and method for performing off-line analysis of cardiac electrogram data, comprising: retrieving an electrogram from a memory location; identifying a first-channel group of candidate beats from at least a first channel of the electrogram; and identifying a second-channel group of candidate beats from at least a second channel of an electrogram. For each first-channel beat candidate near a second-channel beat candidate, the amplitude of the first-channel beat candidate is compared with the amplitude of a previous beat and the amplitude of a next beat on the first electrogram channel, and first-channel beat candidates that are outside of a first pre-determined range from either the previous or next beat are removed. Then first-channel beat candidates that are outside of a second pre-determined range from either the previous or next beat candidate are removed.

System and method for off-line analysis of cardiac data

A system and method for performing independent, off-line evaluation of event sensing for collected electrograms, comprising: sensing an electrogram using an implantable medical device (IMD); determining locations of heart beats on at least one channel of the electrogram using a multi-pass process, resulting in a group of multi-pass beat locations; storing the electrogram and device-identified beat locations in a memory location; and retrieving the electrogram and device-identified beat locations from the memory location. The multi-pass process determines locations of heart beats on at least a first channel of the electrogram. The device-identified group of beat locations are then compared to the multi-pass group of beat locations identified using the multi-pass method. Based on the comparing step, oversensing of beats, undersensing of beats, or noise from the device can be detected.

Off-line sensing method and its applications in detecting undersensing, oversensing, and noise

A system and method for automatically analyzing a cardiac signal, including the step of providing an episode database on a computer storage medium including a plurality of episode data records of one or more patients. Each episode data record includes a cardiac signal from at least one data-generating device. The method also includes the step of selecting one or more of the N beats to be one or more beat templates, for at least a first cardiac signal having N beats. Another step is determining a value K for the cardiac signal using a computer system where K beat templates can represent all the N beats in the cardiac signal.

Methods and systems for characterizing cardiac signal morphology using K-fit analysis

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Pittsburgh, PA, United States of America

Shijie Zhang