Patent application number | Description | Published |
20110098771 | MULTIPLE VECTOR FLUID LOCALIZATION - A differential or relative measurement between an orthogonal measurement vector and another measurement vector can be used to determine the location where fluid accumulation is occurring or the local change in such fluid accumulation. This can help diagnose or treat infection or hematoma or seroma at a pocket of an implanted cardiac rhythm management device, other implanted medical device, or prosthesis. It can also help diagnose or treat pulmonary edema, pneumonia, pulmonary congestion, pericardial effusion, pericarditis, pleural effusion, hemodilution, or another physiological condition. | 04-28-2011 |
20110295084 | INTEGRATING DEVICE-BASED SENSORS AND BEDSIDE BIOMARKER ASSAYS TO DETECT WORSENING HEART FAILURE - Physiological sensor data can be combined with external biomarker assays, such as a bedside assay for B-type natriuretic peptide (BNP), to improve the sensitivity and specificity of heart failure detection. | 12-01-2011 |
20120157798 | PHYSIOLOGIC RESPONSE TO POSTURE - An implantable or other ambulatory medical apparatus comprises a posture sensing circuit, a physiologic sensing circuit that senses a time varying physiologic signal, and a processor circuit. The processor circuit includes a posture calculation circuit and a measurement circuit. The posture calculation circuit determines a posture of the subject using posture data obtained using the posture signal and determines when the posture of the subject is steady state. The measurement circuit derives a physiologic measurement using physiologic data extracted from the physiologic signal during at least one time period when posture is determined to be steady state and provides the physiologic measurement to at least one of a user and a process in association with the determined steady state posture. | 06-21-2012 |
20120157799 | USING DEVICE BASED SENSORS TO CLASSIFY EVENTS AND GENERATE ALERTS - The present subject matter includes apparatus, methods and device-readable media for using impedance and heart sounds to classify events and alerts. An apparatus can include a processor circuit configured to receive a physiological indication, classify the indication, and generate a multi-dimensional heart failure decompensation status indication. A method can include obtaining a physiological indication, classifying the indication and generating a multi-dimensional heart failure decompensation status indication. A device-readable medium can include instructions that, when performed by the device can obtain a physiological indication, classify the indication, and generate a multi-dimensional heart failure decompensation status alert. | 06-21-2012 |
20120157858 | MONITORING PROJECTIONS ALONG PRINCIPAL COMPONENTS OF MULTIPLE SENSORS AS AN INDICATOR OF WORSENING HEART FAILURE - A device can include at least a first physiologic sensor circuit configured to provide a first physiologic signal, a second physiologic sensor circuit configured to provide a second physiologic signal, and a processor circuit. The processor circuit includes a principal component analysis circuit configured to represent data determined from the at least first and second physiologic sensor circuits as at least first and second axes, respectively, in a multidimensional space, determine one or more principal components in the multidimensional space, determine a quantitative attribute of the first and the second physiologic signals using at least one of the determined principal components or a projection of the data along the at least one determined principal component, and provide an indication of heart failure status according to the quantitative attribute to at least one of a user or a process. | 06-21-2012 |
20120157864 | CARDIAC DECOMPENSATION DETECTION USING MULTIPLE SENSORS - Physiological data, such as thoracic impedance data, can be obtained over a first time window to establish a baseline, or can be used to form one or more data clusters. Additional physiological data, such as thoracic impedance test data acquired over a later time window, can be obtained and compared to the baseline or data clusters to determine an indication of worsening heart failure. In an example, a quantitative attribute of one or more data clusters can be monitored and used to provide an indication of worsening heart failure. A posture discrimination metric can be obtained, such as using the physiological data obtained over the first time window. The additional physiological data, such as can be obtained over a second time window, can be compared to the posture discrimination metric to provide a patient posture status. | 06-21-2012 |
20120157874 | POSTURE DETECTION USING THORACIC IMPEDANCE - Physiological data, such as thoracic impedance data, can be obtained over a first time window to establish a baseline, or can be used to form one or more data clusters. Additional physiological data, such as thoracic impedance test data acquired over a later time window, can be obtained and compared to the baseline or data clusters to determine an indication of worsening heart failure. In an example, a quantitative attribute of one or more data clusters can be monitored and used to provide an indication of worsening heart failure. A posture discrimination metric can be obtained, such as using the physiological data obtained over the first time window. The additional physiological data, such as can be obtained over a second time window, can be compared to the posture discrimination metric to provide a patient posture status. | 06-21-2012 |
20120259183 | TRANSIENT SENSOR RESPONSE TO POSTURE AS A MEASURE OF PATIENT STATUS - Patient posture information can be received, such as to indicate a change in patient posture by at least a threshold amount. A transient response signal indicative of a change in a physiological parameter can be received at multiple instances near a change in patient posture. Waveform morphology features can be extracted from a transient response signal and used to provide an indication of a cardiac status, such as a heart failure status. | 10-11-2012 |
20120271177 | SV/CO TRENDING VIA INTRACARDIAC IMPEDANCE - A patient-specific model can show changes in cardiac stroke volume or cardiac output, such as to predict heart failure or to indicate cardiac remodeling. The patient-specific model can be derived from a surrogate indication of a cardiac stroke volume, such as a physical activity level, and features obtained from a thoracic impedance waveform, such as mean or peak-to-peak impedance values. In an example, several models corresponding to different patient physical activity levels can be determined. | 10-25-2012 |
20120310101 | WIDE QRS DETECTOR - A system comprises a cardiac signal sensing circuit and a processor circuit. To detect a QRS duration, the processor circuit determines an isoelectric amplitude value of the cardiac signal segment, identifies a time where the cardiac signal segment amplitude deviates from the first isoelectric amplitude value by a specified threshold deviation value as a Q time, determines an isoelectric value time after the determined maxima and minima times that the cardiac signal segment returns to the same or a different isoelectric amplitude value, identifies a time that follows both the determined maxima and minima times and precedes the isoelectric value time as an S time, wherein the cardiac signal segment amplitude at the identified S time satisfies a specified amplitude change criterion from an isoelectric amplitude value, and determines a time duration of the QRS complex in the cardiac signal segment using the identified Q and S times. | 12-06-2012 |
20130116578 | RISK STRATIFICATION BASED HEART FAILURE DETECTION ALGORITHM - A system comprises a risk analysis module and a worsening heart failure (WHF) detection module. The risk analysis module measures at least one first physiological parameter of a subject using a physiological sensor of an ambulatory medical device, and determines a heart failure (HF) risk score for the subject according to the at least one measured first physiological parameter. The HF risk score indicates susceptibility of the subject to experiencing a HF event. The WHF detection module measures at least one second physiological parameter of the subject using the same or different physiological sensor, and generates an indication of prediction that the subject will experience a WHF event when the at least one second physiological parameter satisfies a WHF detection algorithm. The risk analysis module adjusts generation of the indication by the WHF detection algorithm according to the determined HF risk score. | 05-09-2013 |
20130123653 | USING DEVICE BASED ELECTROGRAMS TO IDENTIFY BUNDLE BRANCH BLOCK MORPHOLOGY - A patient QRS duration can be received or determined, such as using one or more patient physiological sensors. A portion of the QRS duration can be determined, such as a right or left ventricular activation time. In an example, the right ventricular activation time can be determined by identifying an onset of a QRS complex and an R-wave peak in the QRS complex. In an example, when the QRS duration exceeds a threshold duration, and the RV activation time does not exceed a second threshold duration, an indication of a cardiac conduction dysfunction can be provided, such as for discriminating between left bundle branch block and right bundle branch block. | 05-16-2013 |
20130165755 | PHYSIOLOGICAL STATUS INDICATOR APPARATUS AND METHOD - A processor circuit can be configured to obtain a first multidimensional vector. The first multidimensional vector can include dimensions corresponding to respective first conductivity characteristics obtained from different implantable electrode configurations associated with a subject. The processor circuit can also be configured to obtain a second multidimensional vector or vector space. The second multidimensional vector or vector space can include dimensions corresponding to respective second conductivity characteristics obtained from such different electrode configurations associated with the same or a different subject. The processor circuit can also provide a physiological status indicator that can be obtained at least in part by performing a vector comparison of the first multidimensional vector to the second multidimensional vector space or vector. | 06-27-2013 |
20130178786 | REMOTE CLOSED-LOOP TITRATION OF DECONGESTIVE THERAPY FOR THE TREATMENT OF ADVANCED HEART FAILURE - An apparatus comprises one or more physiological sensing circuits that generate a sensed physiological signal and at least one of the physiological sensing circuits is implantable, a measurement circuit configured to recurrently measure one or more physiological parameters that indicate a status of heart failure of the subject, a comparison circuit configured to compare the one or more physiological parameter measurements to one or more physiological parameter target values, a therapy circuit configured to control delivery of one or more drugs to treat heart failure, and a control circuit in electrical communication with the comparison circuit and the therapy circuit and configured to recurrently adjust delivery of drug therapy according to the comparison of the measured physiological parameters to the physiological parameter targets. | 07-11-2013 |
20130190636 | OPTIMIZATION OF LV AND RV LEAD PLACEMENT BASED ON ELECTRICAL DELAYS - A system comprises a cardiac signal sensing and a processing circuit. The cardiac signal sensing circuit senses a first cardiac signal segment that includes a QRS complex and a second cardiac signal segment that includes a fiducial indicative of local ventricular activation. The processor circuit includes a site activation timer circuit configured to determine a time duration between a fiducial of the QRS complex of the first cardiac signal segment and the fiducial of the second cardiac signal segment. The processor circuit is configured to generate, using the determined time duration, an indication of optimality of placement of one or more electrodes for delivering therapy and provide the indication to at least one of a user or process. | 07-25-2013 |
20130237773 | HEART SOUND DETECTION SYSTEMS AND METHODS USING UPDATED HEART SOUND EXPECTATION WINDOW FUNCTIONS - Heart sound detection systems and methods can use updated heart sound expectation window functions to detect heart sounds. In an example, an initial heart sound expectation window function that describes a heart sound timing can be a function of a physiologic variable such as heart rate, intrinsic vs. non-intrinsic beat, respiration rate, index of circadian timing, or posture. The function can include at least one characteristic parameter that describes a value of the heart sound timing at a specified value of the physiologic variable. In an example, information about a patient heart sound can be detected and used to update a characteristic parameter of an initial heart sound expectation window function, and an updated heart sound expectation window function can be provided using the updated characteristic parameter. | 09-12-2013 |
20140031643 | HEART FAILURE PATIENTS STRATIFICATION - A system, apparatus and method are provided to quantify a risk of worsening heart failure for subject using at least one physiological sensor circuit such as, for example, a heart sound sensor, a respiration sensor, a cardiac activity sensor, or other sensor circuit. A central tendency measurement of the at least one physiological sensor can be used to quantify the risk of worsening heart failure of the subject. | 01-30-2014 |