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

File: <base>/training/georgia/g4/E03522.hea (719 bytes) 
E03522 12 500 5000
E03522.mat 16x1+24 1000.0(0)/mV 16 0 19 -14092 0 I
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -24 -6485 0 II
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -43 7399 0 III
E03522.mat 16x1+24 1000.0(0)/mV 16 0 2 10181 0 aVR
E03522.mat 16x1+24 1000.0(0)/mV 16 0 31 -10709 0 aVL
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -34 313 0 aVF
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -4 21155 0 V1
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -29 24380 0 V2
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -48 -16306 0 V3
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26197 0 V4
E03522.mat 16x1+24 1000.0(0)/mV 16 0 24 -14748 0 V5
E03522.mat 16x1+24 1000.0(0)/mV 16 0 -63 -15463 0 V6
# Age: 65
# Sex: Male
# Dx: 428750005,164889003
# Rx: Unknown
# Hx: Unknown