Shape Medical Systems, Inc. Patent applications |
Patent application number | Title | Published |
20120123493 | Method of Defining Continuous Heart Rate vs AV Delay Values and Sensed to Paced AV Delay Offset in Patients Undergoing Cardiac Resynchronization Therapy - A method of data management for optimizing the patient outcome from the provision of cardiac resynchronization therapy (CRT) is described. A regression equation is constructed using 3 data points on a plot of AV delay vs. HR. The x-axis consist of the three points consist of resting HR, HR at the optimal AV delay value during light exercise, and the upper tracking or paced HR. The y-values associated with the three points consist of the AV delay values computed using an equation for ventricular filling time and the optimally determined AV delay value. Also described is a process for determining the sensed to paced AV delay offset. The combined processes yield 4 (the three constant values in the polynomial regression equation Y=b | 05-17-2012 |
20100016750 | Pattern Recognition System for Classifying the Functional Status of Patients with Pulmonary Hypertension, Including Pulmonary Arterial and Pulmonary Vascular Hypertension - A method employing pattern recognition techniques for identifying the functional status of patients with Pulmonary Hypertension is described. This method describes a process by which sets of cardiopulmonary exercise gas exchange variables are measured during rest, exercise and recovery and stored as unique data sets. The data sets are then analyzed by a series of feature extraction steps, yielding a multi-parametric index (MPI | 01-21-2010 |
20090076347 | Pattern Recognition System for Classifying the Functional Status of Patients with Chronic Disease - A method employing pattern recognition techniques for identifying the functional status of patients with chronic disease is described. This method describes a process by which sets of cardiopulmonary exercise gas exchange variables are measured during rest, exercise and recovery and stored as unique data sets. The data sets are then analyzed by a series of feature extraction steps, yielding a multi-parametric index (MPI) which reflects the current functional status of a patient. The method also employs a description scheme that provides a graphical image that juxtaposes the measured value of MPI to a reference classification system. An additional description scheme provides a trend plot of MPI values measured on a patient over time to provide feedback to the physician on the efficacy of therapy provided to the patient. The method will enable physicians to gather, view, and track complicated data using well-understood visualization techniques to better understand the consequences of their therapeutic actions. | 03-19-2009 |