Abstract: In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Abstract: In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Abstract: In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Abstract: Method and apparatus for detecting cardiac repolarization abnormality using at least one electrocardiogram signal. The at least one electrocardiogram signal can be obtained from any number of continuous or non-continuous windows. The method can include deriving a total quantity of representative beats of the at least one electrocardiogram signal. At least one morphology shape descriptor can be used to determine a total quantity of values representing the total quantity of representative beats. Data corresponding to at least some of the total quantity of values can be used to assess cardiac repolarization abnormality.

Abstract: A system and method for analyzing cardiac data acquired from a patient having an implant. The system can acquire non-implant cardiac data and implant cardiac data from the patient. The system can synchronize the non-implant cardiac data and the implant cardiac data and can correlate the non-implant cardiac data with the implant cardiac data to determine a cardiac condition of the patient.

Abstract: A system and a method for scheduling an emergency procedure in response to detecting that a patient has a high probability of acute myocardial infarction. The system is able to identify patients that are suspected of having acute myocardial infarction (or acute ischemia). The system uses one or more expert software tools or algorithms to analyze received ECG records. Each software tool has logic (e.g., thresholds and/or settings) for automatic routing which is configurable by the customer via a graphical user interface. If any sufficient condition for automatic routing is satisfied, the system routes the data (including the underlying ECG record) and an alert to an electronic device which is accessible by the cardiologist “on call” via a bidirectional pager. If the cardiologist decides that the requested emergency treatment or procedure should be performed, the system accesses the schedules of all associated catheterization labs across multiple hospitals to identify a lab having optimum time-to-treatment.

Abstract: A method and apparatus for providing real-time support in interpreting a patient's ECG in order to assess the probability of perioperative cardiovascular risk associated with performing a non-cardiac surgery. The apparatus includes an acquisition unit for acquiring an ECG and a processor for determining whether the ECG has diagnostic statements of risk. From the diagnostic statements of risk, the processor determines the probability of cardiovascular risk associated with the non-cardiac surgery. The probability of cardiovascular risk is displayed on display in the form of an indicator of either major, intermediate, or minor cardiovascular risk. The method includes acquiring a patient's ECG, determining whether the ECG exhibits diagnostic statements of cardiovascular risk, and determining the probability of cardiovascular risk based on the diagnostic statements, and displaying the determined probability of cardiovascular risk.

Abstract: A device that calculates a sudden cardiac death score based on acquired patient data. A system and method that combines independent indications of sudden cardiac death to predict sudden cardiac death. The system can include various cardiology test systems interconnected to a sudden cardiac death prediction system.

Abstract: A system and method for determining a correlation between sleep apnea and sudden cardiac death. One embodiment of the method can include predicting sudden cardiac death in a patient being monitored for sleep apnea by acquiring respiration data and electrocardiogram data from the patient and analyzing the respiration data and the electrocardiogram data to determine a correlation between sleep apnea and sudden cardiac death.

Abstract: A system and a method for automatically detecting a new left bundle branch block (LBBB) in an ECG series and then issuing an alert for the purpose of accelerating treatment for acute myocardial infarction. A serial comparison program is used to compare each current ECG with a previous ECG for the same patient. Diagnostic statements, measurements and waveforms are compared and based on the comparisons, the system is able to automatically determine that the patient has a new LBBB. The system then automatically determines whether the patient belongs to the category of patients having a high probability of acute myocardial infarction. If acute myocardial infarction is suspected, the system generates a diagnostic statement stating that the new left bundle branch block may be due to acute myocardial infarction. The current ECG exhibiting a new LBBB is then identified with a special tag and sent to a central database server.

Abstract: A method and apparatus for providing real-time support in interpreting a patient's ECG in order to assess the probability of perioperative cardiovascular risk associated with performing a non-cardiac surgery. The apparatus includes an acquisition unit for acquiring an ECG and a processor for determining whether the ECG has diagnostic statements of risk. From the diagnostic statements of risk, the processor determines the probability of cardiovascular risk associated with the non-cardiac surgery. The probability of cardiovascular risk is displayed on display in the form of an indicator of either major, intermediate, or minor cardiovascular risk.

Abstract: A method and apparatus for providing real-time support in interpreting a patient's ECG in order to assess the probability of perioperative cardiovascular risk associated with performing a non-cardiac surgery. The apparatus includes an acquisition unit for acquiring an ECG and a processor for determining whether the ECG has diagnostic statements of risk. From the diagnostic statements of risk, the processor determines the probability of cardiovascular risk associated with the non-cardiac surgery. The probability of cardiovascular risk is displayed on display in the form of an indicator of either major, intermediate, or minor cardiovascular risk. The method includes acquiring a patient's ECG, determining whether the ECG exhibits diagnostic statements of cardiovascular risk, and determining the probability of cardiovascular risk based on the diagnostic statements, and displaying the determined probability of cardiovascular risk.

Abstract: A system and a method for scheduling an emergency procedure in response to detecting that a patient has a high probability of acute myocardial infarction. The system is able to identify patients that are suspected of having acute myocardial infarction (or acute ischemia). The system uses one or more expert software tools or algorithms to analyze received ECG records. Each software tool has logic (e.g., thresholds and/or settings) for automatic routing which is configurable by the customer via a graphical user interface. If any sufficient condition for automatic routing is satisfied, the system routes the data (including the underlying ECG record) and an alert to an electronic device which is accessible by the cardiologist “on call” via a bidirectional pager.

Abstract: A system and a method for automatically detecting a new left bundle branch block (LBBB) in an ECG series and then issuing an alert for the purpose of accelerating treatment for acute myocardial infarction. A serial comparison program is used to compare each current ECG with a previous ECG for the same patient. Diagnostic statements, measurements and waveforms are compared and based on the comparisons, the system is able to automatically determine that the patient has a new LBBB. The system then automatically determines whether the patient belongs to the category of patients having a high probability of acute myocardial infarction. If acute myocardial infarction is suspected, the system generates a diagnostic statement stating that the new left bundle branch block may be due to acute myocardial infarction. The current ECG exhibiting a new LBBB is then identified with a special tag and sent to a central database server.

Abstract: A method and apparatus for providing real-time support in interpreting a patient's ECG in order to assess the probability of perioperative cardiovascular risk associated with performing a non-cardiac surgery. The apparatus includes an acquisition unit for acquiring an ECG and a processor for determining whether the ECG has diagnostic statements of risk. From the diagnostic statements of risk, the processor determines the probability of cardiovascular risk associated with the non-cardiac surgery. The probability of cardiovascular risk is displayed on display in the form of an indicator of either major, intermediate, or minor cardiovascular risk.