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

File: <base>/training/georgia/g10/E09189.hea (711 bytes) 
E09189 12 500 5000
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -48 32599 0 I
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -126 3481 0 II
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28228 0 III
E09189.mat 16x1+24 1000.0(0)/mV 16 0 87 -18212 0 aVR
E09189.mat 16x1+24 1000.0(0)/mV 16 0 14 -2504 0 aVL
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -102 20490 0 aVF
E09189.mat 16x1+24 1000.0(0)/mV 16 0 48 27559 0 V1
E09189.mat 16x1+24 1000.0(0)/mV 16 0 48 21652 0 V2
E09189.mat 16x1+24 1000.0(0)/mV 16 0 9 11007 0 V3
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -175 -30125 0 V4
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -29 11924 0 V5
E09189.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1398 0 V6
# Age: 63
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown