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

File: <base>/training/georgia/g5/E04939.hea (704 bytes) 
E04939 12 500 5000
E04939.mat 16x1+24 1000.0(0)/mV 16 0 9 -23610 0 I
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -39 -240 0 II
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -48 23531 0 III
E04939.mat 16x1+24 1000.0(0)/mV 16 0 14 11898 0 aVR
E04939.mat 16x1+24 1000.0(0)/mV 16 0 29 9382 0 aVL
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -43 -21148 0 aVF
E04939.mat 16x1+24 1000.0(0)/mV 16 0 29 817 0 V1
E04939.mat 16x1+24 1000.0(0)/mV 16 0 0 3399 0 V2
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1443 0 V3
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5532 0 V4
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4681 0 V5
E04939.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7212 0 V6
# Age: 71
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown