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

File: <base>/training/georgia/g6/E05953.hea (712 bytes) 
E05953 12 500 5000
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -87 -18963 0 I
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -19 21748 0 II
E05953.mat 16x1+24 1000.0(0)/mV 16 0 68 -24857 0 III
E05953.mat 16x1+24 1000.0(0)/mV 16 0 53 -1443 0 aVR
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29673 0 aVL
E05953.mat 16x1+24 1000.0(0)/mV 16 0 24 31167 0 aVF
E05953.mat 16x1+24 1000.0(0)/mV 16 0 78 -9906 0 V1
E05953.mat 16x1+24 1000.0(0)/mV 16 0 0 -17200 0 V2
E05953.mat 16x1+24 1000.0(0)/mV 16 0 19 -30422 0 V3
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24052 0 V4
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -29 14027 0 V5
E05953.mat 16x1+24 1000.0(0)/mV 16 0 -195 605 0 V6
# Age: 66
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown