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

File: <base>/training/georgia/g6/E05082.hea (718 bytes) 
E05082 12 500 5000
E05082.mat 16x1+24 1000.0(0)/mV 16 0 -39 18570 0 I
E05082.mat 16x1+24 1000.0(0)/mV 16 0 -214 3210 0 II
E05082.mat 16x1+24 1000.0(0)/mV 16 0 -175 -14535 0 III
E05082.mat 16x1+24 1000.0(0)/mV 16 0 126 22297 0 aVR
E05082.mat 16x1+24 1000.0(0)/mV 16 0 68 15943 0 aVL
E05082.mat 16x1+24 1000.0(0)/mV 16 0 -195 27079 0 aVF
E05082.mat 16x1+24 1000.0(0)/mV 16 0 97 -7964 0 V1
E05082.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17753 0 V2
E05082.mat 16x1+24 1000.0(0)/mV 16 0 19 3544 0 V3
E05082.mat 16x1+24 1000.0(0)/mV 16 0 48 -7770 0 V4
E05082.mat 16x1+24 1000.0(0)/mV 16 0 9 -175 0 V5
E05082.mat 16x1+24 1000.0(0)/mV 16 0 9 -3208 0 V6
# Age: 81
# Sex: Female
# Dx: 427084000,251146004
# Rx: Unknown
# Hx: Unknown