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

File: <base>/training/georgia/g5/E04132.hea (707 bytes) 
E04132 12 500 5000
E04132.mat 16x1+24 1000.0(0)/mV 16 0 -48 27911 0 I
E04132.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17219 0 II
E04132.mat 16x1+24 1000.0(0)/mV 16 0 39 20790 0 III
E04132.mat 16x1+24 1000.0(0)/mV 16 0 29 27288 0 aVR
E04132.mat 16x1+24 1000.0(0)/mV 16 0 -43 -29110 0 aVL
E04132.mat 16x1+24 1000.0(0)/mV 16 0 14 1845 0 aVF
E04132.mat 16x1+24 1000.0(0)/mV 16 0 19 -30490 0 V1
E04132.mat 16x1+24 1000.0(0)/mV 16 0 29 25951 0 V2
E04132.mat 16x1+24 1000.0(0)/mV 16 0 29 22746 0 V3
E04132.mat 16x1+24 1000.0(0)/mV 16 0 19 32600 0 V4
E04132.mat 16x1+24 1000.0(0)/mV 16 0 -9 30571 0 V5
E04132.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13571 0 V6
# Age: 63
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown