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

File: <base>/training/georgia/g1/E00647.hea (722 bytes) 
E00647 12 500 5000
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28002 0 I
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -117 -26779 0 II
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -39 1030 0 III
E00647.mat 16x1+24 1000.0(0)/mV 16 0 97 27329 0 aVR
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14086 0 aVL
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -78 -12561 0 aVF
E00647.mat 16x1+24 1000.0(0)/mV 16 0 29 -21626 0 V1
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22452 0 V2
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29110 0 V3
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14270 0 V4
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16524 0 V5
E00647.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21597 0 V6
# Age: 61
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown