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

File: <base>/training/georgia/g6/E05392.hea (765 bytes) 
E05392 12 500 5000
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20235 0 I
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -68 -25627 0 II
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5443 0 III
E05392.mat 16x1+24 1000.0(0)/mV 16 0 39 -9803 0 aVR
E05392.mat 16x1+24 1000.0(0)/mV 16 0 24 25199 0 aVL
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -63 -15259 0 aVF
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -361 32153 0 V1
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -341 4534 0 V2
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -263 23146 0 V3
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -117 4931 0 V4
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -78 1631 0 V5
E05392.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15682 0 V6
# Age: 73
# Sex: Male
# Dx: 17338001,17338001,59118001,67741000119109,713422000,59931005
# Rx: Unknown
# Hx: Unknown