63 results about "Cardiac status" patented technology

One embodiment discloses a computerized method of facilitating cardiac intervention. The method may include inputting patient data and creating a computerized interactive model of a heart based on the patient data. The model may include features. The model may simulate at least one proposed cardiac intervention by adding or deleting features to the model, and determining the effects of the proposed cardiac simulation upon the entire model. Simulations may be repeated to allow the user to determine an optimal cardiac intervention. A template and/or patient specific instrument may be created from the model to use as a guide during the cardiac intervention.

A method for determining cardiac status comprises for a given patient, constructing a patient-specific, three-dimensional, computational model of the patient's heart; and executing the constructed computational model, said executing generating a quantitative analysis of cardiac function. A method of performing cardiac surgeries comprises: a) assessing surgical options based on a patient-specific, three-dimensional, computational model of a patient's heart; and b) performing surgery based on one or more of the surgical options. A computer system comprises: a) a data source containing data of a patient's heart; b) a modeler coupled to receive data from the data source, the modeler generating a patient-specific, three-dimensional, computational model of the heart based on the heart data; and c) a processor routine for computationally providing information about a certain cardiac function using the three-dimensional heart model and for applying computational, quantitative analysis of the cardiac function, wherein the quantitative analysis of the cardiac function provides an assessment for surgical options, optimizing surgical techniques, or predicting outcomes.

An implementation of a technology, described herein, for implantable medical therapy devices and techniques related to gathering and processing data field-collected by such implantable medical therapy devices. With an ICTD system and a central database, at least one embodiment of the invention, described herein, collects and analyzes data—which includes historical cardiac-status-and-treatment information—for a specific patient and adjusts a patient's therapy accordingly. With an ICTD system and a central database, at least one embodiment of the invention, described herein, collects and analyzes data—which includes historical cardiac-status-and-treatment information—for a patient population and adjusts a patient's therapy accordingly. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

State machine interface system, heart state machine analyzer and/or stimulator, comprising state machine algorithms and a graphical user interface, adapted to receive signals from a sensor device that are related to physiological activities of the heart and/or the circulatory system of a living being and the state machine algorithms determine states of heart cycles based upon the signals. The determined heart cycle states are graphically presented at the graphical user interface such that the temporal relation between the different states are illustrated. The graphical user interface may be circular diagrams or bar graphs including parts representing the temporal relation between the different states.

A system and a method for evaluating the cardiac status of a heart by evaluating a plurality of cardio-physiological parameters, and in particular, to such a system and method in which a plurality of cardio-physiological mathematical models are evaluated to produce a user specific cardiac model.

The dynamic characteristic analysis method of real-time tendency of heart state includes: obtaining electorcardiac waveform with multipath electorcardiac amplifier and 12-bit A/D converter; forming time sequence related heart rate variation scatter diagram by means of space-time correlation technology and scatter diagram technology; extracting time sequence related characteristic parameters, short time-real time characteristic conversion illustration parameter and quantized space-time parameter indexes of characteristic illustration via automatic and manual interaction; classifying the illustration and quantized space-time parameters in artificial neural network; and describing dynamic characteristics and relevant invariance characteristics of heart rate variation in a nine-dimensional and a five-dimensional space with two independent curve surfaces and their boundary to represent the heart function.

The present invention relates to an improved medical device and method for accurately and reliably determining a cardiac status of a patient. An implantable medical device, IMD, comprises a sensor arrangement adapted to sense signals related to mechanical activity of the heart and an activity level sensor arrangement adapted to sense an activity level of the patient. Further, the IMD calculates a percentage of left ventricular diastolic time (PLVDT) for a cardiac cycle corresponding to a relation between a diastolic time interval and a cardiac cycle time interval using the determined systolic and diastolic time intervals or a percentage of left ventricular systolic time (PLVST) for a cardiac cycle corresponding to a relation between a systolic interval time interval and a cardiac cycle time interval. A cardiac status is determined based on the calculated PLVDT (or PLVST) and on an activity level of the patient.

A system fits a curve to a filtered ECG signal, processes the fitted curve (e.g., by applying transforms such as a KL Transform) and derives parameters for use in classifying heart cycle signal portions (such as an ST segment portion) into particular heart cycle signal portion categories associated with particular segment morphology. A system for heart signal classification includes an interface for receiving an electrical signal waveform comprising an R-wave and including an ST segment portion associated with heart electrical activity of a patient over a heart beat cycle. A signal processor processes data representing the electrical signal waveform by fitting a curve to the ST segment and applying a transform to the fitted curve to derive variance data indicating variance in the fitted curve. A signal classifier classifies the ST segment into one of multiple predetermined categories associated with the fitted ST segment curve geometry in response to the derived variance data.

A development system for a cardiac pacemaker control system, the development system comprising: a cardiac pacemaker prototype including an adaptive control system; and a heart simulator in communication with the cardiac pacemaker prototype comprising: a means for receiving pacing stimulations output from the cardiac pacemaker prototype; and a hemodynamic sensor model responsive to the received pacing stimulations, the hemodynamic sensor model being operable to output a signal simulating a hemodynamic sensor in a plurality of heart states, the hemodynamic sensor model being further operative to output the signal simulating the hemodynamic sensor in the plurality of heart states in a plurality of heart conditions.

Provided is a household cardiac monitoring system based on electrocardio and cardiac sound analysis. The system comprises a portable electrocardio and cardiac sound meter and its disposable application; the disposable application comprises a paster with a viscose layer; the paster is provided with a cardiac sound probe and multiple electrocardio electrodes; the cardiac sound probe and the electrocardio electrodes are exposed from the viscose layer; electrocardiogram and phonocardiogram are input to the electrocardio and cardiac sound meter; a same timeline is used for the real-time synchronously acquired electrocardiogram and phonocardiogram and the user's heart rate is obtained from the electrocardiogram; identifying electrocardio characteristics in the electrocardiogram and locating phonocardiogram using the electrocardio characteristics and finding cardiac sound characteristics; when R wave and first cardiac sound S1 do not appear correspondingly , or T wave and second cardiac soundS2 do not appear correspondingly, or the first cardiac sound S1 is abnormal or the second cardiac sound S2 is abnormal, then outputting cardiac abnormality alarm. The invention has the advantages ofbeing able to simultaneously monitor the electrocardio and the cardiac sound signals, and locating the cardiac sound characteristics by the electrocardiographic characteristics, thereby facilitating the user to monitor the heart state at home.

A method for detecting cardiac status is provided. A user's heart rate is measured by a heart rate detection unit, and the user's acceleration or activity level is measured by an acceleration detection unit, which the activity level is calculated by the acceleration detection unit. A cardio force index is obtained by a calculating unit based on the heart rate, and the acceleration, or the weight as the following formula (Ia) or (Ib):

CFI=(Weight×) Acceleration/Heart Rate   (Ia)

CFI=(Weight×) Activity Level/Heart Rate   (Ib)

The cardio force ratio is a ratio of the user as the following formula (II):

Cardio Force Ratio=CFI of Exercise/CFI of Walking   (II)

A method for monitoring cardiac status during exercise and an apparatus for monitoring cardiac status are also provided.

A heart state monitor method is proposed. First, a physiologic parameter of a life body is measured. The physiologic parameter is then converted from the time domain to the frequency domain by means of Fourier transform. Next, the frequency domain data of the physiologic parameter are converted into a PSD. A heart beat noise index of the life body is then obtained according to the PSD. Finally, the heart state of the life body is diagnosed according to the heart beat noise index. Therefore, measurements of heart state can be performed for a life body. The heart beat noise index can be quickly discriminated to let the life body and medical staffs grasp the current heart state of the life body at any time.

In an implantable medical device, such as a cardiac stimulator such as a pacemaker, and method for predicting patient responses to physical exertion, the patient response is monitored over time to evaluate disease progression and pacing therapies of cardiac stimulators are adapted based on the predicted patient response. A current cardiac status indicator for the patient is created indicating a response of the patient to an increased physical activity as a primarily heart rate response or as a primarily a stroke volume response. The pacing parameters of the cardiac stimulator can thereafter be adapted depending on the current cardiac status indicator, wherein the adapted pacing parameters include a first pacing setting if the current cardiac status indicator indicates a primarily heart rate response or a second pacing setting if the current cardiac status indicator indicates a primarily stroke volume response.

The invention discloses a multipath heart sound based heart sound sensor position error-correcting method. The multipath heart sound based heart sound sensor position error-correcting method comprisesthe following steps of: synchronously collecting and synchronously recording an electrocardiograph and multipath phonocardiogram, wherein each phonocardiogram corresponds to a respective an auscultatory area to separately distinguish electrocardiographic characteristics of each cardiac cycle, correspondingly searches heart-sound characteristics of each phonocardiogram according to the electrocardiographic characteristics, and distinguish whether a heart sound sensor is within a correct auscultatory area or not. The multipath heart sound based heart sound sensor position error-correcting method has the advantages of being capable of distinguishing whether each heat sound sensor is within the correct auscultatory area or not and being suitable for monitoring a heart state in a household mode.

The invention discloses a method for identifying a heart status time phase. The method for identifying the time phase comprises the steps of inputting a three-dimensional heart image of any one phase to obtain the positions of the cardiac apex and the bicuspid valve of the left ventricular of the heart, obtaining a three-dimensional region according to the position information of the cardiac apex and the bicuspid valve, and determining the diastasis and the end-systole of the heartbeat cycle of the heart. The method for identifying the heart status time phase is capable of identifying the heart status time phase quickly, stably and accurately according to the gray-level distribution characteristic of the heart image, and the identification process of the method is simple and completely automatic.

An image analysis device includes: an acquiring unit configured to acquire a moving image showing a variation of a respiratory status, the moving image being formed with frame images including an image of a heart; an image analyzing unit configured to generate a first index indicating a cardiac status with respect to each of the frame images; and an index analyzing unit configured to derive a second index indicating lung function from a change caused in the first indexes by the respiratory status.