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

File: <base>/training/georgia/g10/E09182.hea (718 bytes) 
E09182 12 500 5000
E09182.mat 16x1+24 1000.0(0)/mV 16 0 29 25189 0 I
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26984 0 II
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -58 12829 0 III
E09182.mat 16x1+24 1000.0(0)/mV 16 0 0 74 0 aVR
E09182.mat 16x1+24 1000.0(0)/mV 16 0 43 -26907 0 aVL
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -43 25847 0 aVF
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27405 0 V1
E09182.mat 16x1+24 1000.0(0)/mV 16 0 68 -16248 0 V2
E09182.mat 16x1+24 1000.0(0)/mV 16 0 58 -25382 0 V3
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30278 0 V4
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -19 30362 0 V5
E09182.mat 16x1+24 1000.0(0)/mV 16 0 -29 31483 0 V6
# Age: 29
# Sex: Male
# Dx: 713426002,89792004
# Rx: Unknown
# Hx: Unknown