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

File: <base>/training/georgia/g4/E03918.hea (743 bytes) 
E03918 12 500 5000
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21948 0 I
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -39 25336 0 II
E03918.mat 16x1+24 1000.0(0)/mV 16 0 19 -17875 0 III
E03918.mat 16x1+24 1000.0(0)/mV 16 0 48 31013 0 aVR
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1650 0 aVL
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29143 0 aVF
E03918.mat 16x1+24 1000.0(0)/mV 16 0 39 -4905 0 V1
E03918.mat 16x1+24 1000.0(0)/mV 16 0 39 -5597 0 V2
E03918.mat 16x1+24 1000.0(0)/mV 16 0 19 13370 0 V3
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20454 0 V4
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16509 0 V5
E03918.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25554 0 V6
# Age: 66
# Sex: Female
# Dx: 111975006,164930006,284470004,284470004
# Rx: Unknown
# Hx: Unknown