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

File: <base>/training/georgia/g4/E03515.hea (718 bytes) 
E03515 12 500 5000
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -39 24799 0 I
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -29 3835 0 II
E03515.mat 16x1+24 1000.0(0)/mV 16 0 9 -20916 0 III
E03515.mat 16x1+24 1000.0(0)/mV 16 0 34 -14327 0 aVR
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -24 23498 0 aVL
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8076 0 aVF
E03515.mat 16x1+24 1000.0(0)/mV 16 0 87 -3587 0 V1
E03515.mat 16x1+24 1000.0(0)/mV 16 0 29 -26112 0 V2
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15471 0 V3
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -48 16562 0 V4
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -48 24087 0 V5
E03515.mat 16x1+24 1000.0(0)/mV 16 0 -48 19768 0 V6
# Age: 65
# Sex: Male
# Dx: 17338001,270492004
# Rx: Unknown
# Hx: Unknown