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

File: <base>/training/georgia/g2/E01737.hea (713 bytes) 
E01737 12 500 5000
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30187 0 I
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19518 0 II
E01737.mat 16x1+24 1000.0(0)/mV 16 0 0 11270 0 III
E01737.mat 16x1+24 1000.0(0)/mV 16 0 39 24859 0 aVR
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20025 0 aVL
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3831 0 aVF
E01737.mat 16x1+24 1000.0(0)/mV 16 0 19 -19491 0 V1
E01737.mat 16x1+24 1000.0(0)/mV 16 0 0 -31544 0 V2
E01737.mat 16x1+24 1000.0(0)/mV 16 0 58 -22769 0 V3
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23212 0 V4
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24046 0 V5
E01737.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24133 0 V6
# Age: 36
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown