Cardiac Pacemakers, Inc.

Advanced Neuromodulation Systems, Inc.

Minnetronix, Inc.

Jeremy J Maniak

William J Linder

Ron A Balczewski

Scott A Meyer

Yanting Dong

Johann J Neisz

Kevin John Stalsberg

Alok S Sathaye

John M Voegele

William L Zimmer

Nathan J Bolyard

Benjamin Ettori

Kenneth E Broen

Doug Birholz

Don We Evans

Don WE Evans

Methods and devices for classifying a cardiac response to pacing involve establishing a retriggerable cardiac response classification window. A first cardiac response classification window is established subsequent to delivery of a pacing pulse. A cardiac signal following the pacing stimulation is sensed in the first classification window. A second cardiac response classification may be triggered if a trigger characteristic is detected in the first classification window. The cardiac signal is sensed in the second classification window if the second classification window is established. The cardiac response to the pacing stimulation is determined based on characteristics of the cardiac signal. The cardiac response may be determined to be one of a captured response, a non-captured response, a non-captured response added to an intrinsic beat, and a fusion/pseudofusion beat, for example.

Cardiac response classification using retriggerable classification windows

An implantable cardiac rhythm management (CRM) device includes a sensing and detection circuit that senses at least one cardiac signal and detects cardiac electrical events from the sensed estimation. The sensed cardiac signal is filtered to produce a filtered cardiac signal having a signal frequency band and a noise signal having a noise frequency band. The noise frequency band is substantially different from the signal frequency band. A dynamic noise floor is produced based on the noise signal and used as the minimum value for the detection threshold. A cardiac electrical is detected when the amplitude of the filtered cardiac signal exceeds the detection threshold.

Method and apparatus for adjusting cardiac event detection threshold based on dynamic noise estimation

An implantable cardiac rhythm management (CRM) device includes a sensing and detection circuit that senses at least one cardiac signal and detects cardiac electrical events from the sensed cardiac signal using a detection threshold that is adjusted based on a dynamic noise estimation. The sensed cardiac signal is filtered to produce a filtered cardiac signal having a signal frequency band and a noise signal having a noise frequency band. The noise frequency band is substantially different from the signal frequency band. A dynamic noise floor is produced based on the noise signal and used as the minimum value for the detection threshold. A cardiac electrical is detected when the amplitude of the filtered cardiac signal exceeds the detection threshold.

A method comprising providing a programmable non-volatile memory (PNVM) circuit fabricated together with a processor on an integrated circuit chip (IC) in an implantable medical device (IMD), partitioning the PNVM circuit into a plurality of portions based on how often that the processor accesses a portion, and selectively providing power or selectively restricting power to one or more of the portions according to how often that the processor accesses a portion.

Implantable medical device with embedded programmable non-volatile memory

Methods and devices for delivering electrical stimulation to the sympathetic nervous system in response to the onset of eating. In some methods, swallowing is detected which then initiates a dose of stimulation which can vary in intensity, frequency, or both over the dose length. In some methods, the dose length is between about one quarter hour and one hour. The dose frequency may increase, hold steady, then decrease over the dose duration so as to mimic the response of the gut stretch and nutrient receptors to receiving food. The dose can drive biomarkers indicative of eating, for example glucagon, glucose, FFA or glycerol to at least about half of their normal post eating levels and then stop so as to retain stimulation effectiveness for subsequent doses and to prolong battery life.

Esophageal activity modulated obesity therapy

A system comprising an implantable medical device (IMD). The IMD includes a processor fabricated on an integrated circuit chip (IC), a random access memory (RAM) circuit fabricated on the same IC, and a programmable non-volatile memory (PNVM) circuit also fabricated on the same IC.

Methods and devices for classifying a cardiac response to pacing involve establishing a retriggerable cardiac response classification window. A first cardiac response classification window is established subsequent to delivery of a pacing pulse. A cardiac signal following the pacing stimulation is sensed in the first classification window. A second cardiac response classification may be triggered if a trigger characteristic is detected in the first classification window. The cardiac signal is sensed in the second classification window if the second classification window is established. The cardiac response to the pacing stimulation is determined based on characteristics of the cardiac signal. The cardiac response may be determined to be one of a captured response, a non-captured response; a non-captured response added to an intrinsic beat, and a fusion/pseudofusion beat, for example.

Growing community of inventors

Columbia Heights, MN, United States of America

Jeremy J Maniak