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

File: <base>/training/georgia/g6/E05912.hea (705 bytes) 
E05912 12 500 5000
E05912.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14834 0 I
E05912.mat 16x1+24 1000.0(0)/mV 16 0 19 -11426 0 II
E05912.mat 16x1+24 1000.0(0)/mV 16 0 39 3742 0 III
E05912.mat 16x1+24 1000.0(0)/mV 16 0 0 13036 0 aVR
E05912.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9474 0 aVL
E05912.mat 16x1+24 1000.0(0)/mV 16 0 29 -3831 0 aVF
E05912.mat 16x1+24 1000.0(0)/mV 16 0 0 -7212 0 V1
E05912.mat 16x1+24 1000.0(0)/mV 16 0 4 22396 0 V2
E05912.mat 16x1+24 1000.0(0)/mV 16 0 -48 27660 0 V3
E05912.mat 16x1+24 1000.0(0)/mV 16 0 39 -13603 0 V4
E05912.mat 16x1+24 1000.0(0)/mV 16 0 -190 28657 0 V5
E05912.mat 16x1+24 1000.0(0)/mV 16 0 -73 32573 0 V6
# Age: 45
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown