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

File: <base>/training/georgia/g6/E05922.hea (734 bytes) 
E05922 12 500 5000
E05922.mat 16x1+24 1000.0(0)/mV 16 0 0 -10363 0 I
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -34 -23458 0 II
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -34 -13367 0 III
E05922.mat 16x1+24 1000.0(0)/mV 16 0 17 16448 0 aVR
E05922.mat 16x1+24 1000.0(0)/mV 16 0 17 1487 0 aVL
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -34 -19006 0 aVF
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -58 25649 0 V1
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -63 -23271 0 V2
E05922.mat 16x1+24 1000.0(0)/mV 16 0 0 19647 0 V3
E05922.mat 16x1+24 1000.0(0)/mV 16 0 68 13640 0 V4
E05922.mat 16x1+24 1000.0(0)/mV 16 0 -9 5697 0 V5
E05922.mat 16x1+24 1000.0(0)/mV 16 0 19 29387 0 V6
# Age: 72
# Sex: Male
# Dx: 428750005,39732003,59931005,164873001
# Rx: Unknown
# Hx: Unknown