In an example, a signal segment evaluator can be programmed to evaluate a morphology of at least one electrophysiological signal to identify a signal segment of interest. The morphology of the signal segment of interest can be indicative of an electrophysiological event of a patient during a respective time interval. A reconstruction engine can be programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the electrophysiological signals measured from an outer surface of the patient and geometry data representing an anatomy of the patient. A map generator can be programmed to generate a map representing the reconstructed electrophysiological signals on the surface of interest for the respective time interval of the signal segment of interest. A target generator can be programmed to identify a target site within the patient's body based on the map for the electrophysiological event.

In an example, a signal segment evaluator can be programmed to evaluate a morphology of at least one electrophysiological signal to identify a signal segment of interest. The morphology of the signal segment of interest can be indicative of an electrophysiological event of a patient during a respective time interval. A reconstruction engine can be programmed to reconstruct electrophysiological signals on a surface of interest within a body of the patient based on the electrophysiological signals measured from an outer surface of the patient and geometry data representing an anatomy of the patient. A map generator can be programmed to generate a map representing the reconstructed electrophysiological signals on the surface of interest for the respective time interval of the signal segment of interest. A target generator can be programmed to identify a target site within the patient's body based on the map for the electrophysiological event.

A method includes receiving a plurality of data points including electrophysiological (EP) values measured at respective positions in at least a portion of an organ of a patient. Some of the EP values are classified as outlier values in accordance with a defined criterion. A visual representation of at least the portion of the organ is derived from the plurality of data points. The visual representation represents the EP values with respective colors, and visualizes less than all the outlier values, by performing one or both of (a) identifying outlier values that deviate from respective neighboring EP values by less than a defined deviation, and representing the outlier values using colors that match the neighboring EP values, and (b) setting for the visual representation a mapping, which maps the EP values to the colors and which excludes at least some of the outlier values.

A method includes receiving a plurality of data points including electrophysiological (EP) values measured at respective positions in at least a portion of an organ of a patient. Some of the EP values are classified as outlier values in accordance with a defined criterion. A visual representation of at least the portion of the organ is derived from the plurality of data points. The visual representation represents the EP values with respective colors, and visualizes less than all the outlier values, by performing one or both of (a) identifying outlier values that deviate from respective neighboring EP values by less than a defined deviation, and representing the outlier values using colors that match the neighboring EP values, and (b) setting for the visual representation a mapping, which maps the EP values to the colors and which excludes at least some of the outlier values.

Systems and methods for cardiac pacing during a procedure are disclosed and may include an external pulse generator (EPG) for connecting to a lead. A remote-control module (RCM) wirelessly connected to the EPG may include user inputs to control the EPG. A central processing unit (CPU) with a memory unit for storing code and a processor for executing the code may be included where the CPU is connected to the EPG and RCM. The code may control the EPG in response to user input from the RCM. The CPU may be disposed in the EPG or the RCM, or an interface module (IM) configured to communicate between an otherwise conventional EPG and the RCM. The executable code may perform a continuity test (CT) routine, a capture check (CC) routine, rapid pacing (RP) routine, and/or a back-up pacing (BP) routine, in response to user input from the RCM.

A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

A method includes, receiving a first electrocardiogram (ECG) signal, which is acquired in a heart of a patient and is distorted by interference. One or more external signals that sense the interference concurrently with acquisition of the first ECG signal are received from one or more sources external to the heart. A second ECG signal, in which the interference is suppressed relative to the first ECG signal, is produced by applying a trained Neural Network (NN) to the first ECG signal and to the one or more external signals.

A medical analysis system, includes at least one catheter to be inserted into a body-part having a tissue surface, and comprising sensing electrodes to contact and receive electrical signals from the tissue surface, and processing circuitry to receive unipolar signals from individual ones of the plurality of the sensing electrodes, compute a combined far-field and mid-field signal based on summing and filtering ones of the received unipolar signals received from at least a pair of sensing electrodes disposed around a point of interest, compute a far-field signal as a weighted average of the received unipolar signals, weighted according to respective distances of the sensing electrodes from the point of interest, and compute and output a mid-field signal, representative of electrical activity below the tissue surface at the point of interest, based on subtracting the computed far-field signal from the computed combined far-field and mid-field signal.

In some embodiments, techniques capable of obtaining high-quality fetal ECG (fECG) information using as few as two composite (maternal and fetal) maternal abdominal ECG (aECG) signals to derive the fetal ECG information are provided. In some embodiments, maternal ECG information and fetal ECG information are both obtained from the aECG signals, and are either presented or stored. The techniques may use novel proposed diffusion-based channel selection criteria. To validate the proposed techniques, analysis results of two publicly available databases are described, and compared with other available techniques in the literature.