Inovise Medical, Inc.

Alan V Andresen

Martin Baumer

Richard C Myers

Rick Myers

Robert A Warner

Camilo Bruce

Ron Selvester

Ron H S Selvester

A device includes a main body having a length, a first end, a second end, and an axis along the length. A first electrode is associated with the first end of the main body. A suspension structure is associated with the second end of the main body. The suspension structure is configured for displacement in a direction of the axis of the main body, and includes a flexible isolation ring defining an opening, and a second electrode that is associated with the opening and mechanically coupled to the flexible isolation ring. The device also includes an electronics assembly with a first subassembly that is electrically coupled to the first electrode and secured relative to the main body to prevent displacement of the first subassembly in a direction of the axis of the main body, a second subassembly that is arranged to electrically couple with the second electrode. A flexible coupling between the first subassembly and the second subassembly enables displacement of the second subassembly relative to the first subassembly and in a direction of the axis of the main body.

Portable cardiac monitoring device and associated cardiac monitoring system and network

Apparatus for monitoring vital signs

A method in a computer system for detecting myocardial infarction including the steps of (a) receiving ECG data, (b) analyzing that data for the presence of benign ST data, and (c), when the ST data is not benign, (1) establishing a pathological threshold, (2) normalizing any deviation in the ECG data, (3) applying a pattern analysis to the normalized ECG data, and (4) generating a score indicating the presence of a myocardial infarction based on the pattern analysis and the threshold.

Differentiating acute myocardial infarction from other ECG abnormalities

A method for differentiating acute myocardial infarction (AMI) from other ECG abnormalities. The method is performed by modeling selected ECG confounders that tend to obscure AMI evidence in the ECG waveform, and by purging a subject's ECG waveform of the effect(s) of these confounders through linking selected confounder models with an appropriate, computer-implementable purge algorithm.

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Portland, OR, United States of America

Alan V Andresen