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

File: <base>/training/georgia/g10/E09432.hea (707 bytes) 
E09432 12 500 5000
E09432.mat 16x1+24 1000.0(0)/mV 16 0 9 7187 0 I
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -39 9187 0 II
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -48 2079 0 III
E09432.mat 16x1+24 1000.0(0)/mV 16 0 14 24554 0 aVR
E09432.mat 16x1+24 1000.0(0)/mV 16 0 29 2229 0 aVL
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -43 -27271 0 aVF
E09432.mat 16x1+24 1000.0(0)/mV 16 0 19 -23583 0 V1
E09432.mat 16x1+24 1000.0(0)/mV 16 0 341 -2412 0 V2
E09432.mat 16x1+24 1000.0(0)/mV 16 0 175 -10698 0 V3
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -605 23914 0 V4
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -175 -15650 0 V5
E09432.mat 16x1+24 1000.0(0)/mV 16 0 -9 1730 0 V6
# Age: 61
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown