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

File: <base>/training/georgia/g5/E04742.hea (733 bytes) 
E04742 12 500 5000
E04742.mat 16x1+24 1000.0(0)/mV 16 0 68 -31569 0 I
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20905 0 II
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -107 10003 0 III
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -14 26230 0 aVR
E04742.mat 16x1+24 1000.0(0)/mV 16 0 87 -20722 0 aVL
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -73 -5430 0 aVF
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -68 -751 0 V1
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -78 408 0 V2
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8358 0 V3
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13677 0 V4
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15854 0 V5
E04742.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9114 0 V6
# Age: 74
# Sex: Male
# Dx: 270492004,426177001,427393009
# Rx: Unknown
# Hx: Unknown