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An electrode for use in an iontophoretic drug delivery having a substantially uniform distribution of current about the electrode. One such electrode includes a substrate, at least one first conductive layer of material disposed upon the substrate and at least one dielectric layer of material dispos

An electrode for use in an iontophoretic drug delivery having a substantially uniform distribution of current about the electrode. One such electrode includes a substrate, at least one first conductive layer of material disposed upon the substrate and at least one dielectric layer of material disposed upon at least a portion of the at least one conductive layer of material. The dielectric layer cooperates with the conductive layer of material to promote the substantially uniform distribution of current. Another such electrode includes a substrate, a conductive layer of material and a sacrificial layer of material.

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An electrode for use in an iontophoretic drug delivery having a substantially uniform distribution of current about the electrode. One such electrode includes a substrate, at least one first conductive layer of material disposed upon the substrate and at least one dielectric layer of material dispos

An electrode for use in an iontophoretic drug delivery having a substantially uniform distribution of current about the electrode. One such electrode includes a substrate, at least one first conductive layer of material disposed upon the substrate and at least one dielectric layer of material disposed upon at least a portion of the at least one conductive layer of material. The dielectric layer cooperates with the conductive layer of material to promote the substantially uniform distribution of current. Another such electrode includes a substrate, a conductive layer of material and a sacrificial layer of material. pical groups of the data segments of the first type of physiological data and the typical groups of the data segments of the second type of physiological data.13. The method of claim 1 wherein the act of generating representative data for the groups of data segments includes the act of averaging the data segments.14. The method of claim 1 wherein the act of generating representative data for the groups of data segments includes the act of determining a median data segment.15. The method of claim 1 and further comprising the act of transmitting the representative data to a remote location.16. The method of claim 1 and further comprising the act of displaying the representative data to a clinician.17. A method of processing physiological data acquired from a patient, the method comprising the acts of: acquiring electrocardiogram data and non-electrocardiogram physiological data from the patient; dividing the electrocardiogram data and the non-electrocardiogram physiological data into corresponding segments; analyzing the electrocardiogram data segments to identify atypical and typical segments; associating the atypical electrocardiogram data segments with the corresponding non-electrocardiogram physiological data segments; associating the typical electrocardiogram data segments with the corresponding non-electrocardiogram physiological data segments; and generating representative data for at least the atypical electrocardiogram data segments. 18. The method of claim 17 wherein the act of acquiring non-electrocardiogram cardiac data includes the act of acquiring at least one of a blood pressure data, a blood oxygen saturation data, a cardiac output data, a cardiac impedance data, a cardiac sounds data, and cardiac imaging data.19. The method of claim 17 wherein the act of dividing the electrocardiogram data and the non-electrocardiogram physiological data into corresponding segments includes the act of dividing the electrocardiogram data and the non-ECG physiological data into data segments corresponding to cardiac cycles.20. The method of claim 17 wherein the act of analyzing the electrocardiogram data segments to identify atypical and typical segments includes the act of categorizing the electrocardiogram data segments using an electrocardiogram classification engine.21. The method of claim 20 wherein the act of categorizing the data segments using an electrocardiogram classification engine includes the act of categorizing the electrocardiogram data segments into classification categories associated with at least one of a typical cardiac cycle, a premature supraventricular cardiac cycle, a premature ventricular contraction cardiac cycle, an atrial paced cardiac cycle, and a ventricular paced cardiac cycle.22. The method of claim 20 wherein the act of categorizing the electrocardiogram data segments using an electrocardiogram classification engine includes the act of categorizing the electrocardiogram data segments into classification categories based on the morphology of the data segment and the morphology of adjacent data segments.23. The method of claim 17 and further comprising the act of separating the atypical electrocardiogram data segments from the typical electrocardiogram data segments.24. The method of claim 23 and further comprising the act of separating the non-electrocardiogram physiological data segments associated with the atypical electrocardiogram data segments from the non-electrocardiogram physiological data segments associated with the typical electrocardiogram data segments.25. The method of claim 24 and further comprising the act of aligning the separated data segments according to a fiducial point.26. The method of claim 25 wherein the fiducial point further comprises a plurality of data samples and wherein the act of aligning the data segments includes the act of aligning the data samples of the fiducial point.27. The method of claim 25 wherein the fiducial point is the QRS complex.28.