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

File: <base>/training/georgia/g10/E09094.hea (704 bytes) 
E09094 12 500 5000
E09094.mat 16x1+24 1000.0(0)/mV 16 0 -117 117 0 I
E09094.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6144 0 II
E09094.mat 16x1+24 1000.0(0)/mV 16 0 78 -6247 0 III
E09094.mat 16x1+24 1000.0(0)/mV 16 0 78 -29622 0 aVR
E09094.mat 16x1+24 1000.0(0)/mV 16 0 -97 3540 0 aVL
E09094.mat 16x1+24 1000.0(0)/mV 16 0 19 26735 0 aVF
E09094.mat 16x1+24 1000.0(0)/mV 16 0 9 -11371 0 V1
E09094.mat 16x1+24 1000.0(0)/mV 16 0 0 -24935 0 V2
E09094.mat 16x1+24 1000.0(0)/mV 16 0 29 -15577 0 V3
E09094.mat 16x1+24 1000.0(0)/mV 16 0 0 10409 0 V4
E09094.mat 16x1+24 1000.0(0)/mV 16 0 -9 7410 0 V5
E09094.mat 16x1+24 1000.0(0)/mV 16 0 -48 18527 0 V6
# Age: 56
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown