Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g6/E05882.hea (729 bytes) 
E05882 12 500 5000
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -87 23593 0 I
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11809 0 II
E05882.mat 16x1+24 1000.0(0)/mV 16 0 48 29914 0 III
E05882.mat 16x1+24 1000.0(0)/mV 16 0 63 26897 0 aVR
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2949 0 aVL
E05882.mat 16x1+24 1000.0(0)/mV 16 0 4 -23374 0 aVF
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14840 0 V1
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -58 -658 0 V2
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -185 -7855 0 V3
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -185 -14564 0 V4
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -126 1866 0 V5
E05882.mat 16x1+24 1000.0(0)/mV 16 0 -78 -648 0 V6
# Age: 53
# Sex: Female
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown