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

File: <base>/training/georgia/g8/E07539.hea (714 bytes) 
E07539 12 500 5000
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24162 0 I
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24213 0 II
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -29 1006 0 III
E07539.mat 16x1+24 1000.0(0)/mV 16 0 73 24022 0 aVR
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -14 -12921 0 aVL
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11648 0 aVF
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -19 6630 0 V1
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -29 31251 0 V2
E07539.mat 16x1+24 1000.0(0)/mV 16 0 9 -22230 0 V3
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10092 0 V4
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7610 0 V5
E07539.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32287 0 V6
# Age: 41
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown