Medtronic, Inc.

Other

Amisha Somabhai Patel

Bruce D Gunderson

Mark L Brown

Chad A Bounds

Karen J Kleckner

Kevin T Ousdigian

Luc Roland Mongeon

Julian Sanchez

Robert W Stadler

Jian L Cao

Li Ping Wang

Kenneth M Riff

Edwin G Duffin

James E Willenbring

Cygni Chan

Jean K Ringold

Denise Dirnberger

Chris J Gennaro

Ravi Xavier

Susan Heilman Kilbane

Christopher John Gennaro

Hendrikus A Westendorp

Robert B Trojan

Nelson H Soken

Sara M Hoeppner

Goran Jancevski

Susan E Heilman

James D Webb

Li Wang

An environmentally friendly can for containing a product includes a sealed container that contains the product and includes a polyester resin and a release mechanism to open the container and access the product. The polyester resin may be a furan resin selected from poly(ethylene 2, 5-furan dicarboxylate) (PEF), poly(butylene 2, 5-furan dicarboxylate) (PBF), poly(trim ethylene furan dicarboxylate) (PTF), poly(propylene 2, 5-furandicarboxylate) (PPF), and poly(neopentyl 2, 5-furandicarboxylate) (PNF); and/or a biodegradable polyester resin such as polyglycolic acid (PGA). The can may further include a generally cylindrical shell molded to have a sealed bottom and a straight wall that includes the resin; and a cap to seal the shell, the cap having the release mechanism and a rim that includes the resin; wherein the rim of the cap is bonded to the wall of the shell to releasably seal the product inside the can.

Environmentally friendly can

A furan can for containing a product includes a sealed container that contains the product and includes a furan resin selected from the group consisting of: poly (ethylene 2,5-furan dicarboxylate) (PEF), poly (butylene 2,5-furan dicarboxylate) (PBF), poly (trim ethylene furan dicarboxylate) (PTF), poly (propylene 2,5-furandicarboxylate) (PPF), and poly (neopentyl 2,5-furandicarboxylate) (PNF); and a release mechanism to open the container and access the product. The can may further include a generally cylindrical shell molded to have a sealed bottom and a straight wall that includes the furan resin; and a cap to seal the shell, the cap having the release mechanism and a rim that includes the furan resin; wherein the rim of the cap is bonded to the wall of the shell to releasably seal the product inside the can.

Furan can

A bioplastic collapsible dispensing tube may include a collapsible tube having walls that include a bioplastic material; a distal end of the tube that is sealed; a proximal end of the tube, opposite the distal end, that has an opening; a nozzle on the opening; and a closure for the nozzle; wherein, when the closure is opened and the tube is collapsed, flowable material inside the tube is urged out of the nozzle; and the bioplastic material includes a bio resin selected from the group consisting of PEF, PBF, PTF, GPE, GPET, PLA, PDLA, PLLA, PHA, and PHBH. A method may include forming a tube and filling the tube with flowable material from the distal end.

Bioplastic collapsible dispensing tube

A system and associated method receives, by a database coupled to a communication network, patient medical data from multiple data sources including data retrieved from implantable medical devices implanted in patients. A processor accesses the database to generate a dataset from the medical data having at least one data characteristic matching a corresponding data characteristic of a patient group of at least one patient. At least one subset of the dataset is identified that had a therapy intervention subsequent to a time point that the subset had the matching data characteristic(s). An outcome of the subset is determined and a predictive outcome for the patient group is produced based on the outcome of at least one subset.

System for using patient data combined with database data to predict and report outcomes

Bio resin paperboard containers and cartons may include a bio resin laminated paperboard (BLP) that includes a sheet of paperboard having a first side and a second side opposite the first side; a first layer of bio resin laminated on the first side of the paperboard; and a second layer of bio resin laminated on the second side of the paperboard. Bio resins may include PEF, PBF, PTF, PPF, GPE, GPET, PLA, PDLA, PLLA, PHA, and PHBH. Methods may utilize a roll of BLP to form bio resin paperboard containers.

Bio resin paperboard containers and cartons

The present disclosure is directed to an electrogram summary. In various examples, a subset of cardiac episodes are selected and displayed based on a set of summary rules. The subset of cardiac episodes includes at least one episode from each of a plurality of episode categories with at least one cardiac episode. In some examples, the order in which the cardiac episodes selected are displayed is based on the set of summary rules. The electrogram summary may include images or information regarding each of the selected cardiac episodes.

Electrogram summary

An implantable cardioverter defibrillator (ICD) senses ventricular depolarizations (R-waves) in an electrogram signal to detect a ventricular tachycardia or fibrillation episodes. The EGM signal is also monitored in real time for characteristics that uniquely identify instances of T-wave oversensing. The ICD determines whether detection of a tachycardia or fibrillation episode is appropriate based upon counts of each of the unique characteristics evidencing T-wave oversensing.

Implantable medical device with real time T-wave oversensing detection

The present disclosure is directed to the classification of cardiac episodes using an algorithm. In various examples, an episode classification algorithm evaluates electrogram signal data to determine whether T-wave oversensing has occurred. The T-wave oversensing analysis may include, for example, identifying beat runs within the cardiac episode whether the beats within the run have at least one characteristic that alternates beat to be or clustering beats within the cardiac episode based on beat to beat interval length. The T-wave oversensing determination may be based on probabilistic analysis in some examples.

T-wave oversensing

A method and system for post-processing of sensing data associated with identification of a cardiac event by a medical device that includes transmitting a plurality of stored sensing data generated by the medical device to an access device, the stored sensing data including sensed atrial events and sensed ventricular events. The access device determines, in response to the transmitted data, instances where the medical device identified a cardiac event being detected in response to the sensing data, and generates a template in response to correlated morphologies of adjacent intervals prior to a detection interval corresponding to the cardiac being identified as the cardiac event and a morphology of the detection interval.

Method and apparatus for post-processing of episodes detected by a medical device

A method and system of post-processing of sensing data generated by a medical device that includes transmitting a plurality of stored sensing data generated by the medical device to an access device, the stored sensing data including sensed atrial events and sensed ventricular events. The access device determines, in response to the transmitted data, instances where the medical device identified a cardiac event being detected in response to the sensing data, and determines a ratio of sensed atrial events to sensed ventricular events in response to the transmitted data.

A method for identifying oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), is described. A near-field electrogram signal and a far-field electrogram signal are obtained via a near-field electrode pair and a far-field electrode pair. The near-field electrogram signal is compared to the far-field electrogram signal and a determination of whether oversensing exists is made based on the comparison. In some instances, a scheduled therapy is withheld in response to determining that oversensing exists.

Method and apparatus for identifying oversensing using far-field intracardiac electrograms and marker channels

The present disclosure is directed to the classification of cardiac episodes using an algorithm. In various examples, an episode classification algorithm evaluates electrogram signal data from a near-field channel and a far-field channel. The episode classification algorithm classifies the cardiac episode based on the evaluation of the electrogram signal data for at least one of the near-field and far-field channels. In some examples, a cardiac episode being classified may be an episode that resulted in treatment being provided by an implantable medical device. Possible classifications of the cardiac episode may include, for example, unknown, inappropriate, appropriate, supraventricular tachycardia, ventricular tachycardia, ventricular fibrillation or ventricular over-sensing.

Episode classifier algorithm

The present disclosure is directed to generating and displaying an electrogram (EGM) summary for use by physicians or other clinicians. An implantable medical device (IMD) transmits EGM signal data for a number of cardiac episodes to an external computing device. The external computing device selects a subset of the cardiac episodes for which information or images are displayed to the user. In various examples, cardiac episodes may be selected for display based at least in part on a retrospective analysis classification of the cardiac episode.

In general, the disclosure relates to techniques for calculating mean impedance values and impedance variability values to detect a possible condition with a lead or device-lead pathway or connection. In one example, a device may be configured to determine an impedance value for an electrical path based on a plurality of measured impedance values for the electrical path, wherein the electrical path comprises a plurality of electrodes, and to determine an impedance variability value based on at least one of the plurality of measured impedance values. The device may be further configured to determine a threshold value based on the determined impedance value and the impedance variability value, compare a newly measured impedance value for the electrical path to the threshold value, and indicate a possible condition of the electrical path based on the comparison.

Impedance variability analysis to identify lead-related conditions

A medical device system senses cardiac signals and generates and stores sensing data including sensed cardiac events. A processor receiving the sensing data is configured to detect undersensed and oversensed events. The processor generates an episode display comprising event identifying codes in response to the received sensing data and produces an adjusted episode display in response to an event being identified as an undersensed event or an oversensed event.

Growing community of inventors

Maple Grove, MN, United States of America

Amisha Somabhai Patel