Cadence Design Systems, Inc.

Pacesetter, Inc.

Bing Zhu

Jay Snell

Tsair-Chin Lin

Katie Hoberman

Laleh Jalali

Platon Beletsky

Elizabeth Bacon

Tung-Sun Tung

Gene A Bornzin

Xiaoyi Min

Jong Gill

Jeffery D Snell

Peter Boileau

Eric Steven Fain

Jingbo Gao

Josh Reiss

Harish Krishnaswamy

Mohssen Fard

Jennifer Lee

Disclosed herein are systems and methods of an emulation system. A hardware emulator of an emulation system includes a method of hardware emulation on a computer. The method may include reading in, by the computer, a hardware description language file and a low power intent file and compiling the hardware description language file and the low power intent file into an emulation image. Embodiments may include loading, the emulation image into an emulator, running, the emulation image under a test environment including using a coverage counter specific to low power coverage, created based on the hardware description language file and the low power intent file, using the coverage counters to inform the test environment, generating, by the computer, a report file including a set of low power coverage metrics based on a low power coverage data item, and presenting the report file to a user via a user interface.

Instrumenting low power coverage counters in emulation

A method for modeling power management in an integrated circuit (IC) includes: specifying a circuit design and a power architecture for the IC, the power architecture including a plurality of power domains for specifying power levels in different portions of the IC; determining an emulation module for the IC by including one or more hardware elements for modeling the power architecture in the emulation module; and using the emulation module to simulate changing power levels in one or more power domains of the IC including a power shutoff in at least one power domain.

Emulation of power shutoff behavior for integrated circuits

A method and system are provided for trending a coronary burden such as an ischemic burden or acute myocardial infarction (AMI) for a patient. Trending provides obtaining cardiac data over a period of time, identifying the onset and the termination of coronary episodes based on a ST segment variation within the cardiac data, recording coronary burden information, and presenting the coronary burden information to a user. The coronary burden information may include the number of coronary episodes occurring over a period of time, the time duration of the coronary episodes, and the maximum ST segment variations for the coronary episodes that occur over a period of time.

Methods and systems for trending ST segment changes over time

Cardiac activity is sensed over a plurality of heart beats defining a beat set. For each beat in the set, it is determined whether the beat is a non-classified beat (e.g., paced beat, a beat outside of a specified heart rate range or a PVC), or a classified beat. For each classified beat, it is determined whether the beat is a non-detect beat, a minor beat or a major beat. Counts of classified beats, non-classified beats, major beats, minor beats, and non-detect beats are maintained. The beat set is declared to be one of a non-classified set, a major set, a minor set or a non-detect set based on the relative counts of classified beats, non-classified beats, major beats, minor beats, and non-detect beats. Over a period of time, counts of beat-set types are maintained and entry into and exit from ST episodes are determined based on these beat-set counts.

Systems and methods related to ST segment monitoring by an implantable medical device

The invention described here is the methods of using a hardware-based functional verification system to mimic a design under test (DUT), under intended application environment and software, to record or derive the transition activities of all circuits of the DUT, then calculate the total or partial power consumption during the period of interest. The period of interest is defined by the user in terms of 'events' which are the arbitrary states of the DUT. Furthermore, the user can specify the number of sub-divisions required between events thus vary the apparent resolution of the power consumption profile.

System and method for analyzing power consumption of electronic design undergoing emulation or hardware based simulation acceleration

A method of analyzing power consumption for a DUT (device under test) that includes an integrated circuit or an electronic system includes: providing emulation data for states of the DUT in one or more time windows; determining operational mode values from the emulation data and a selection of operational modes that characterize circuit behavior in the one or more time windows; dividing each time window into one or more segments based on at least one power criterion; determining power-activity values for the one or more segments; determining power-consumption values for the one or more segments from the power-activity values; using the power-activity values and the power-consumption values to determine relative power activity across the one or more segments and adjusting the one or more segments to target high power activity over operational modes in the one or more time windows; and saving one or more values for power activity of the DUT in a computer-readable medium.

Peak power detection in digital designs using emulation systems

A method and system are provided for trending variation in coronary burden across multiple heart rate ranges. The method and system include obtaining cardiac signals having a segment of interest over a period of time where each cardiac signal has an associated heart rate that falls within at least one heart rate range. Segment variations of the segment of interest are determined and grouped based on the associated heart rates to produce distributions of segment variations that are associated with the heart rate ranges. Trending information is produced by automatically comparing the distributions of segment variations between different heart rate ranges.

Method and system for trending variation in coronary burden across multiple heart rate ranges

Techniques are described for efficiently detecting and distinguishing among cardiac ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. In one example, a preliminary indication of an episode of cardiac ischemia is detected based on shifts in ST segment elevation within the IEGM. In response, the implanted device then records additional IEGM data for transmission to an external system. The external system analyzes the additional IEGM data to confirm the detection of cardiac ischemia using a more sophisticated analysis procedure exploiting additional detection parameters. In particular, the external system uses detection parameters capable of distinguishing hypoglycemia, hyperglycemia and hyperkalemia from cardiac ischemia, such as QTmax and QTend intervals. Alternatively, the more sophisticated analysis procedure may be performed by the device itself, if it is so equipped. Other examples described herein pertain instead to the detection of atrial fibrillation.

System and method for efficiently distinguishing among cardiac ischemia, hypoglycemia and hyperglycemia using an implantable medical device and an external system

A method and system are provided for tracking ST shift data. The system includes an implantable medical device having an input configured to receive cardiac signals. Each cardiac signal has an associated heart rate and includes a segment of interest. The implantable medical device further includes a processor configured to determine segment variations of the segment of interest in the cardiac signals. The processor determines a heart rate associated with each of the segment variations with each heart rate falling within a corresponding heart rate range. The implantable medical device also includes a memory configured to store a group of histograms for a corresponding group of heart rate ranges. The histograms store distributions for the segment variations within corresponding heart rate ranges.

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Sunnyvale, CA, United States of America

Bing Zhu