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.