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

File: <base>/training/georgia/g10/E09232.hea (730 bytes) 
E09232 12 500 5000
E09232.mat 16x1+24 1000.0(0)/mV 16 0 283 -23186 0 I
E09232.mat 16x1+24 1000.0(0)/mV 16 0 361 13550 0 II
E09232.mat 16x1+24 1000.0(0)/mV 16 0 78 -28622 0 III
E09232.mat 16x1+24 1000.0(0)/mV 16 0 -322 4942 0 aVR
E09232.mat 16x1+24 1000.0(0)/mV 16 0 102 -29422 0 aVL
E09232.mat 16x1+24 1000.0(0)/mV 16 0 219 25864 0 aVF
E09232.mat 16x1+24 1000.0(0)/mV 16 0 146 7602 0 V1
E09232.mat 16x1+24 1000.0(0)/mV 16 0 -117 25123 0 V2
E09232.mat 16x1+24 1000.0(0)/mV 16 0 -1893 -26135 0 V3
E09232.mat 16x1+24 1000.0(0)/mV 16 0 -322 22444 0 V4
E09232.mat 16x1+24 1000.0(0)/mV 16 0 468 -15280 0 V5
E09232.mat 16x1+24 1000.0(0)/mV 16 0 585 -26412 0 V6
# Age: 68
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown