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

File: <base>/training/georgia/g4/E03415.hea (703 bytes) 
E03415 12 500 5000
E03415.mat 16x1+24 1000.0(0)/mV 16 0 0 -27024 0 I
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -9 32271 0 II
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6528 0 III
E03415.mat 16x1+24 1000.0(0)/mV 16 0 4 -2712 0 aVR
E03415.mat 16x1+24 1000.0(0)/mV 16 0 4 -11075 0 aVL
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -9 12773 0 aVF
E03415.mat 16x1+24 1000.0(0)/mV 16 0 0 11390 0 V1
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -185 5619 0 V2
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -58 8743 0 V3
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11883 0 V4
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -29 23088 0 V5
E03415.mat 16x1+24 1000.0(0)/mV 16 0 -48 29091 0 V6
# Age: 82
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown