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

File: <base>/training/georgia/g4/E03015.hea (719 bytes) 
E03015 12 500 5000
E03015.mat 16x1+24 1000.0(0)/mV 16 0 68 -19025 0 I
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -107 12766 0 II
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -175 32090 0 III
E03015.mat 16x1+24 1000.0(0)/mV 16 0 19 3125 0 aVR
E03015.mat 16x1+24 1000.0(0)/mV 16 0 122 7575 0 aVL
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -141 -9926 0 aVF
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -29 728 0 V1
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7532 0 V2
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -87 2622 0 V3
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -126 9341 0 V4
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5609 0 V5
E03015.mat 16x1+24 1000.0(0)/mV 16 0 -87 -3730 0 V6
# Age: 30
# Sex: Male
# Dx: 428417006,426177001
# Rx: Unknown
# Hx: Unknown