Abstract: A system determines measured patient values for use in clinical calculations using an electronic form including, a first area including data fields for presenting values of the parameters associated with a first part of a cardiac catheterization study of a patient and a second area including data fields for presenting values of the parameters associated with a different second part of a cardiac catheterization study of the patient. A user interface enables a user to copy at least one of the parameters comprising a measured value from the first area to the second area as a substitute value eliminating a need for a re-measurement of the value. A calculation processor automatically calculates a cardiac flow value for incorporation in the second area in response to the measured value being copied into the second area.

Abstract: A medical imaging system adaptively acquires anatomical images using a shape adaptive collimator including multiple different portions of X-ray absorbent material automatically adjustable to alter the dimensions of a spatial cross section of an X-ray beam of radiation into a non-rectangular shape, in response to a control signal. The synchronization processor provides a heart rate related synchronization signal derived from a patient cardiac function related parameter. The synchronization signal enables adaptive variation in timing of image acquisition within an individual heart cycle and between successive heart cycles of each individual image frame of multiple sequential image frames. The X-ray image acquisition device uses the shape adaptive collimator for acquiring anatomical images of the region of interest with reduced patient X-ray exposure in response to the synchronization signal. A display processor presents resultant images.

Abstract: A method is disclosed for achieving improved quality of monitoring and diagnosis for heart functions. Specifically, a method is disclosed for continuous temperature measurement and thermal characterization of patient heart tissue based on non-invasive thermal mapping technology. The method includes multi-dimensional cardiac tissue temperature scanning and tissue thermal pattern analysis with high precision, which can greatly improve the efficiency and lower the medical procedure risk for identifying myocardial ischemia (MI) disorders, predicting the MI occurrence, and mapping MI characteristics and impacting MI medical treatment, such as drug delivery and long term cardiac care. A system is also disclosed for use with the method.

Abstract: A system for respiration or cardiac condition characterization and abnormality detection includes an interface that receives data representing a signal indicating concentration of carbon dioxide in patient gases over multiple signal cycles. A signal processor uses the received data in determining multiple amplitude related characteristic values. A comparator compares at least one of the amplitude related characteristic values or a value derived from the amplitude related characteristic values, with a threshold value to provide a comparison indicator. A patient monitor in response to the comparison indicator indicating an amplitude related characteristic value or a value derived from the amplitude related characteristic values, exceeds the threshold value, generates an alert message associated with the threshold.

Abstract: The disclosed method analyzes cardiac electrophysiological signals, including ECG and internal cardiac electrograms, based on multi-level symbolic complexity calculation and multi-dimensional mapping. The results may be used to objectively identify cardiac disorders, differentiate cardiac arrhythmias, characterize pathological severities, and predict life-threatening events. Multi-level symbolization and calculation of the electrophysiological signal is used provide better reliability and analysis resolution for identifying and characterizing cardiac disorders. Adaptive analysis of the cardiac signal complexity enables calculation efficiency and reliability with high SNR, and with low calculation volume and power consumption. One dimension (time or frequency domain) and multi-dimension symbolic analysis is used to provide more information of cardiac pathology and high risk rhythm transition to doctors.

Abstract: A system for heart performance characterization and abnormality detection processes a heart electrical activity signal in determining multiple first signal characteristic values over multiple heart cycles. A first signal characteristic value substantially comprises a time interval between a peak of a P wave to a peak of a succeeding R wave representing a repolarization time interval in an individual heart cycle and the signal processor uses a peak detector and time detector for identifying the peaks and detecting a time difference between the identified peaks. A comparator compares at least one of the multiple first signal characteristic values or a value derived from the multiple first signal characteristic values with a threshold value to provide a comparison indicator. A patient monitor in response to the comparison indicator indicating a calculated signal characteristic value exceeds the threshold value, generates an alert message associated with the threshold.

Abstract: A system monitors and characterizes internal elasticity of a blood vessel to detect abnormality. A catheter system for heart performance characterization and abnormality detection, comprises an ultrasound device for emitting ultrasound wave signals within patient anatomy and acquiring corresponding ultrasound echo signals. A signal processor processes the ultrasound echo signals to, determine a signal indicating displacement of a tissue wall over at least one heart cycle and identify a displacement value in the displacement signal. The displacement value indicates a tissue wall displacement occurring at a point within a heart cycle. A comparator compares the tissue wall displacement value with a threshold value to provide a comparison indicator. A patient monitor, in response to the comparison indicator indicating the tissue wall displacement value exceeds the threshold value, generates an alert message associated with the threshold.

Abstract: A system for heart performance characterization and abnormality detection includes an interface that receives a signal representing electrical activity of a patient heart occurring during individual heart cycles of multiple sequential heart cycles. A signal processor decomposes the received signal into multiple signals comprising a heart cycle signal primary wave and one or more heart cycle signal wavelets occurring at corresponding successively higher frequencies. The signal processor determines multiple amplitude representative values of the heart cycle signal primary wave and the one or more heart cycle signal wavelets. A comparator compares the multiple amplitude representative values with corresponding multiple predetermined threshold values to provide comparison indicators.

Abstract: A patient treatment monitoring system includes an interface for receiving multiple different types of patient medical information including data derived from a patient monitoring device and a patient medical imaging device. A data processor processes the received multiple different types of patient medical information to be suitable for presentation in a display image. A display processor initiates generation of data representing a single composite display image including an image element representing multiple sequentially performed individual stages of a treatment process. The individual stages are associated with corresponding different sets of the received multiple different types of patient medical information. The single composite display image includes multiple image areas for displaying one of the corresponding different sets of the received multiple different types of patient medical information, in response to user selection of a particular stage of the individual stages using the image element.

Abstract: A system improves detection and diagnosis of blood pressure based cardiac function and tissue activities by analyzing and characterizing cardiac blood pressure signals (including non-invasive and invasive blood pressure, discrete values and continuous waveforms) using pressure signal variation and variability calculation and evaluation. The system combines blood pressure analysis with multi clinical related factors and parameters to detect and quantify cardiac health status and arrhythmia severity. The system determines an accurate time, location and severity of cardiac pathology and events by calculating blood pressure variability and statistical variation. The accurately and reliably identifies cardiac disorders, differentiates cardiac arrhythmias, characterizes pathological severity, predicts the life-threatening events, and supports evaluation of drug delivery effects.

Abstract: A system for heart performance characterization and abnormality detection includes an interface for receiving sampled data representing an electrical signal indicating electrical activity of a patient heart over multiple heart beat cycles and for receiving a pace signal indicating occurrence of a heart pace pulse applied to the heart. A signal processor uses the received sampled data and pace signal in calculating, a first signal characteristic value comprising a time interval between occurrence of the pace pulse and a cardiac cycle characteristic and a second signal characteristic comprising an average of the time intervals determined over a multiple heart cycles. A comparator compares at least one of the first and second characteristic values with a threshold value to provide a comparison indicator. A patient monitor generates an alert message associated with the threshold in response to the comparison indicator indicating a calculated signal characteristic value exceeds the threshold value.

Abstract: A system provides a high quality, and intuitive multi-band filter that adapts when noise frequencies or noise amplitudes change. A system for adaptively filtering patient monitoring signals, comprises a filter controller for adaptively determining the number of, and individual filter bandwidth of, multiple adaptive signal filters to be used in filtering multiple bandwidths within an encompassing signal filtering bandwidth. The filter controller does this in response to, (a) noise data indicating noise source frequencies and (b) configuration data determining medical signal or noise source characteristics, to provide programming data for programming a plurality of adaptive signal filters. The system includes multiple adaptive signal filters individually having a filtering bandwidth and filtering characteristic programmable in response to received programming data. A noise detector automatically identifies a noise component in a received patient monitoring signal and generates the noise data.

Abstract: A system improves precision and reliability of intra-cardiac catheter position tracking and monitoring. An interventional system for internal anatomical examination includes a catheterization device for internal anatomical insertion. The catheterization device includes, at least one magnetic field sensor for generating an electrical signal in response to rotational movement of the at least one sensor about an axis through the catheterization device within a magnetic field applied externally to patient anatomy and a signal interface for buffering the electrical signal for further processing. A signal processor processes the buffered electrical signal to derive a signal indicative of angle of rotation of the catheterization device relative to a reference. The angle of rotation is about an axis through the catheterization device. A reproduction device presents a user with data indicating the angle of rotation of the catheterization device.

Abstract: A medical signal interface device bidirectionally conveys signals between a patient and patient monitoring devices. The device comprises a bidirectional electrical signal interface that receives and buffers patient parameter monitoring signals received from a patient via patient attached leads and outputs treatment related signals used in applying invasive or non-invasive treatment to a patient. A bidirectional electrical signal processor operates in response to commands received from a control processor and is coupled to the electrical signal interface, for processing received patient parameter monitoring signals using filtering and amplification to provide processed patient monitoring signals for output to at least one patient monitoring device. The bidirectional electrical signal processor processes the treatment related signals for output by buffering the treatment related signals for output to a patient.

Abstract: A system determines fractal values, a nonlinear fractal ratio and fractal data patterns in a heart and maps determined fractal values to medical conditions. A system for heart performance characterization and abnormality detection includes an interface for receiving sampled data representing an electrical signal indicating electrical activity of a patient heart over at least one heart beat cycle. A signal processor calculates, a first signal characteristic value comprising a first fractal dimension value derived from the sampled data over at least a portion of a heart beat cycle, a second signal characteristic value representing a computed derivative of the first fractal dimension value and a ratio of the first and second signal characteristic values. A comparator compares the calculated ratio with a threshold value to provide a comparison indicator.

Abstract: A system improves characterization and diagnosis of cardiac electrophysiological activities by analyzing and characterizing cardiac function signals (including surface ECG signals and intra-cardiac electrograms) based on cardiac electrophysiological energy mode and pattern identification and mapping. The system accurately determines a time stamp, location and severity of cardiac pathology and clinical events by calculating a cardiac signal energy mode and energy variation and distribution. The system identifies cardiac disorders, differentiates cardiac arrhythmias, characterizes pathological severity, predicts life-threatening events, and supports evaluation of administration of drugs.

Abstract: A system improves analysis, diagnosis and characterization of cardiac function signals (including surface ECG signals and intra-cardiac electrograms) based on cardiac electrophysiological activity momentum computation, characterization and mapping. The system calculates an electrophysiological signal momentum of different portions of cardiac signals including a timing, location and severity of cardiac pathology and improves reliability of diagnosis, detection, mapping to an identified medical condition, and characterization. The system improves identification of cardiac disorders, differentiation of cardiac arrhythmias, characterization of pathological severity, prediction of life-threatening events and supports evaluation of drug administration effects.

Abstract: A patient monitoring signal processing system adaptively varies medical signal data rate. The system uses an analog to digital converter for digitizing an analog cyclically varying input signal derived from a patient in response to a sampling clock input. The sampling clock determines frequency of analog to digital sampling of the analog input signal by the analog to digital converter. A detector detects first and second different signal portions within a cycle of the cyclically varying input signal.

Abstract: A system denoises and rejects artifacts from cardiac signals, by accepting a cardiac signal from a patient, processing the cardiac signal from the patient using a frequency band width controllable choke to separate the cardiac signal into predefined frequencies, filtering each of the predefined frequencies to remove dynamic common noise, joining each of the predefined frequencies into a cardiac signal without the dynamic common noise, and providing feedback control of the filtering of each of the predefined frequencies.

Abstract: A system for heart performance characterization and abnormality detection includes an interface for receiving digitized electrical signals representing blood pressure waveforms over one or more heart beat cycles. The digitized electrical signals comprise, a first digital data sequence representing normal blood pressure of a patient, a second digital data sequence representing random blood pressure of a normal patient and a third digital data sequence representing a potentially abnormal blood pressure of a patient. A complexity processor calculates first, second and third complexity indices for the corresponding first, second and third digital data sequences respectively. A correlation processor uses the calculated first, second and third complexity indices to calculate one or more measures indicating deviation of the potentially abnormal blood pressure of the patient from a normal value.