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

File: <base>/training/georgia/g1/E00932.hea (742 bytes) 
E00932 12 500 5000
E00932.mat 16x1+24 1000.0(0)/mV 16 0 19 -20906 0 I
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11384 0 II
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -87 9747 0 III
E00932.mat 16x1+24 1000.0(0)/mV 16 0 24 16028 0 aVR
E00932.mat 16x1+24 1000.0(0)/mV 16 0 53 -15294 0 aVL
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -78 -854 0 aVF
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -58 30293 0 V1
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22740 0 V2
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -48 -1002 0 V3
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2567 0 V4
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -19 16733 0 V5
E00932.mat 16x1+24 1000.0(0)/mV 16 0 -39 -5147 0 V6
# Age: 66
# Sex: Female
# Dx: 425419005,164934002,164890007,233917008
# Rx: Unknown
# Hx: Unknown