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

File: <base>/training/georgia/g5/E04809.hea (710 bytes)
E04809 12 500 5000
E04809.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30013 0 I
E04809.mat 16x1+24 1000.0(0)/mV 16 0 -390 -8400 0 II
E04809.mat 16x1+24 1000.0(0)/mV 16 0 -312 21418 0 III
E04809.mat 16x1+24 1000.0(0)/mV 16 0 234 -13606 0 aVR
E04809.mat 16x1+24 1000.0(0)/mV 16 0 117 6987 0 aVL
E04809.mat 16x1+24 1000.0(0)/mV 16 0 -351 6488 0 aVF
E04809.mat 16x1+24 1000.0(0)/mV 16 0 253 3692 0 V1
E04809.mat 16x1+24 1000.0(0)/mV 16 0 19 16018 0 V2
E04809.mat 16x1+24 1000.0(0)/mV 16 0 68 31129 0 V3
E04809.mat 16x1+24 1000.0(0)/mV 16 0 -48 15937 0 V4
E04809.mat 16x1+24 1000.0(0)/mV 16 0 9 -27519 0 V5
E04809.mat 16x1+24 1000.0(0)/mV 16 0 97 27793 0 V6
# Age: 62
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown