Abstract: A system and method provides monitoring for atrial fibrillation. A data acquisition processor acquires a cardiac signal data stream from a patient and a wave detector detects an R-wave in a cardiac signal of the data stream. A T-wave in the cardiac signal occurring after the detected R-wave and a Q-wave in a subsequent cardiac signal of the data stream is also detected by the wave detector. A filter provides signal gating and extraction of data representing a Region of Interest (ROI) time window from the detected T-wave to the Q-wave. An integration processor detects characteristics of a P wave signal occurring within the ROI time window. At least one of the detected P wave characteristics is compared to characteristics derived from data representing at least one P wave signal and generating an output signal in response to the comparison for use in determining if the patient is in atrial fibrillation.

Abstract: A system and method are disclosed for utilizing a single integrated EP/ablation catheter to treat cardiac arrhythmias. The disclosed catheter combines the EP signal monitoring of a traditional EP diagnostic catheter, and optical energy for the ablation therapy, which is expected to provide a more efficient, accurate and reliable method of cardiac ablation than current RF techniques since it is based on real-time EP signal mapping, with precise pathological tissue localization, cardiac arrhythmia severity characterization and delivers predictable energy doses with continuous safety monitoring of the intracardiac signals.

Abstract: A device interface selectively acquires patient physiological parameter data. An acquisition processor acquires physiological data from a patient. A communication processor is coupled to an optical communication pathway for receiving a plurality of optical signals from a source. A conversion processor is electrically coupled to the acquisition processor and communication processor and converts a first optical power signal at a first frequency and received via the optical communication pathway using the communication processor, to a first electrical signal for providing power to said device 1interface. The conversion processor converts an optical control signal at a second frequency different from the first frequency and received via the optical communication pathway using the communication processor, to a second electrical signal for providing control data to the acquisition processor directing the acquisition processor to acquire at least one physiological parameter from a patient.

Abstract: A system and method provide detecting and monitoring cardiac electrophysiological changes by determining differences between a reference signal representing a heartbeat signal and an analysis signal representing another heartbeat signal. A set of signal data consisting of a number of heartbeat signals is acquired as a function of time. Individual heartbeat signals within the set of acquired signals are identified, an individual signal comprising data values representing a plurality of sample points during a single heartbeat. One of the identified individual signals or a derived signal representing an average of a subset of the identified individual signals is selected as an analysis signal. A reference signal is identified. The sample points of the reference signal are aligned with the sample points of the analysis signal. A single value representative of mutual correspondence between the sample points of the reference signal and the corresponding sample points of the analysis signal is calculated.

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 catheter has a plurality of sensors and electrodes, wherein the sensors are arranged alternately and spaced apart from each other. A system for continuous measurement and mapping of physiological data may use such a catheter with a coupling unit for insulated coupling of the plurality of sensors with a measurement unit and a mapping unit for mapping values received from the sensors to a predefined matrix.

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 method and apparatus for denoising and rejecting artifacts from cardiac signals, having the steps of accepting a cardiac signal from a patient, subjecting the cardiac signal from the patient to 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 a feedback control to the filtering of each of the predefined frequencies.

Abstract: A method and system for atrial fibrillation analysis, characterization, and mapping is disclosed. A finite element model (FEM) representing a physical structure of a heart is generated. Electrogram data can be sensed at various locations in the heart using an electrophysiology catheter, and the electrogram data is mapped to the elements of the FEM. Function parameters, which measure some characteristics of AF arrhythmia, are then simultaneously calculated for all of the elements of the FEM based on the electrogram data mapped to the elements of the FEM. An artificial neural network (ANN) can be used to calculate the function parameters.

Abstract: An apparatus and method for signal transmission with isolation in medical devices. Data signals, such as patient measurement data and medical instrumentation control signals are converted to dynamic signals which are transmitted on power lines through an isolation module, such as a transformer. The dynamic signals are then converted to data signals having a voltage based on the frequency of the dynamic signals.

Abstract: One embodiment relates to a method of monitoring the heart of a subject for evidence of at least one of myocardial ischemia and infarction (MI/I). The method includes sensing an intra-cardiac electrical signal from at least one lead positioned in a subject. The method also includes detecting MI/I using at least one of the QRS portion of the intra-cardiac electrical signal and the ST portion of the intra-cardiac electrical signal. The detecting MI/I includes using an integer coefficient filter to extract MI/I information from the intra-cardiac electrical signal.