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

File: <base>/training/georgia/g6/E05703.hea (709 bytes) 
E05703 12 500 5000
E05703.mat 16x1+24 1000.0(0)/mV 16 0 58 -4835 0 I
E05703.mat 16x1+24 1000.0(0)/mV 16 0 9 31642 0 II
E05703.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28513 0 III
E05703.mat 16x1+24 1000.0(0)/mV 16 0 -34 19479 0 aVR
E05703.mat 16x1+24 1000.0(0)/mV 16 0 53 12475 0 aVL
E05703.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30992 0 aVF
E05703.mat 16x1+24 1000.0(0)/mV 16 0 19 -14837 0 V1
E05703.mat 16x1+24 1000.0(0)/mV 16 0 87 -23177 0 V2
E05703.mat 16x1+24 1000.0(0)/mV 16 0 117 30422 0 V3
E05703.mat 16x1+24 1000.0(0)/mV 16 0 117 28653 0 V4
E05703.mat 16x1+24 1000.0(0)/mV 16 0 78 17834 0 V5
E05703.mat 16x1+24 1000.0(0)/mV 16 0 48 -26745 0 V6
# Age: 43
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown