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

File: <base>/training/georgia/g6/E05859.hea (727 bytes) 
E05859 12 500 5000
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20015 0 I
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -87 26722 0 II
E05859.mat 16x1+24 1000.0(0)/mV 16 0 29 -19175 0 III
E05859.mat 16x1+24 1000.0(0)/mV 16 0 102 29621 0 aVR
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -73 32448 0 aVL
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -29 3575 0 aVF
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -19 3736 0 V1
E05859.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17556 0 V2
E05859.mat 16x1+24 1000.0(0)/mV 16 0 0 29025 0 V3
E05859.mat 16x1+24 1000.0(0)/mV 16 0 0 22228 0 V4
E05859.mat 16x1+24 1000.0(0)/mV 16 0 29 13545 0 V5
E05859.mat 16x1+24 1000.0(0)/mV 16 0 9 -28345 0 V6
# Age: 68
# Sex: Male
# Dx: 251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown