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

File: <base>/training/georgia/g5/E04629.hea (741 bytes) 
E04629 12 500 5000
E04629.mat 16x1+24 1000.0(0)/mV 16 0 19 -19750 0 I
E04629.mat 16x1+24 1000.0(0)/mV 16 0 0 13172 0 II
E04629.mat 16x1+24 1000.0(0)/mV 16 0 -19 32612 0 III
E04629.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29548 0 aVR
E04629.mat 16x1+24 1000.0(0)/mV 16 0 19 -26151 0 aVL
E04629.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10582 0 aVF
E04629.mat 16x1+24 1000.0(0)/mV 16 0 0 27340 0 V1
E04629.mat 16x1+24 1000.0(0)/mV 16 0 0 27174 0 V2
E04629.mat 16x1+24 1000.0(0)/mV 16 0 29 -29243 0 V3
E04629.mat 16x1+24 1000.0(0)/mV 16 0 48 3371 0 V4
E04629.mat 16x1+24 1000.0(0)/mV 16 0 19 16651 0 V5
E04629.mat 16x1+24 1000.0(0)/mV 16 0 19 25526 0 V6
# Age: 60
# Sex: Male
# Dx: 698252002,713426002,428750005,59118001,426177001
# Rx: Unknown
# Hx: Unknown