Abstract: In some examples, a computing apparatus may determine information corresponding to a data structure and indicating delays associated with an atrium lead, a left ventricle (LV) lead, and a right ventricle (RV) lead based on one or more input variables. The computing apparatus may determine a plurality of individualized characteristics based on the information corresponding to the data structure. The computing apparatus may receive, from the plurality of measurement electrodes, a plurality of second sets of electrical measurements indicating second electrical signals applied to the patient's heart based on the plurality of individualized characteristics. The computing apparatus may determine cardiac resynchronization index (CRI) values using a first set of electrical measurements (e.g., native measurements) and the plurality of second sets of electrical measurements.

Abstract: In some examples, a computing apparatus may determine information corresponding to a data structure and indicating delays associated with an atrium lead, a left ventricle (LV) lead, and a right ventricle (RV) lead based on one or more input variables. The computing apparatus may determine a plurality of individualized characteristics based on the information corresponding to the data structure. The computing apparatus may receive, from the plurality of measurement electrodes, a plurality of second sets of electrical measurements indicating second electrical signals applied to the patient's heart based on the plurality of individualized characteristics. The computing apparatus may determine cardiac resynchronization index (CRI) values using a first set of electrical measurements (e.g., native measurements) and the plurality of second sets of electrical measurements.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: In some examples, a computing apparatus may determine information corresponding to a data structure and indicating delays associated with an atrium lead, a left ventricle (LV) lead, and a right ventricle (RV) lead based on one or more input variables. The computing apparatus may determine a plurality of individualized characteristics based on the information corresponding to the data structure. The computing apparatus may receive, from the plurality of measurement electrodes, a plurality of second sets of electrical measurements indicating second electrical signals applied to the patient's heart based on the plurality of individualized characteristics. The computing apparatus may determine cardiac resynchronization index (CRI) values using a first set of electrical measurements (e.g., native measurements) and the plurality of second sets of electrical measurements.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.

Abstract: The exemplary systems, methods, and interfaces may obtain and analyze electrode signals from a plurality of external electrodes. The electrode signals may include at least an anterior set of electrode signals and a posterior set of electrode signals. The anterior and posterior sets of electrode signals may be used to generate, or provide, various metrics of cardiac electrical heterogeneity and various graphical depictions that may be useful in assessing a patient's cardiac functionality.