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

File: <base>/training/georgia/g10/E09696.hea (703 bytes) 
E09696 12 500 5000
E09696.mat 16x1+24 1000.0(0)/mV 16 0 -58 27450 0 I
E09696.mat 16x1+24 1000.0(0)/mV 16 0 -136 17612 0 II
E09696.mat 16x1+24 1000.0(0)/mV 16 0 -78 -8663 0 III
E09696.mat 16x1+24 1000.0(0)/mV 16 0 97 -22233 0 aVR
E09696.mat 16x1+24 1000.0(0)/mV 16 0 9 17441 0 aVL
E09696.mat 16x1+24 1000.0(0)/mV 16 0 -107 4454 0 aVF
E09696.mat 16x1+24 1000.0(0)/mV 16 0 68 23972 0 V1
E09696.mat 16x1+24 1000.0(0)/mV 16 0 -39 4009 0 V2
E09696.mat 16x1+24 1000.0(0)/mV 16 0 0 17917 0 V3
E09696.mat 16x1+24 1000.0(0)/mV 16 0 29 -7610 0 V4
E09696.mat 16x1+24 1000.0(0)/mV 16 0 9 24930 0 V5
E09696.mat 16x1+24 1000.0(0)/mV 16 0 0 -31528 0 V6
# Age: 31
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown