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

File: <base>/training/georgia/g10/E09854.hea (733 bytes)
E09854 12 500 5000
E09854.mat 16x1+24 1000.0(0)/mV 16 0 29 -18735 0 I
E09854.mat 16x1+24 1000.0(0)/mV 16 0 0 3870 0 II
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -29 22365 0 III
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -14 -25122 0 aVR
E09854.mat 16x1+24 1000.0(0)/mV 16 0 29 -20509 0 aVL
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19422 0 aVF
E09854.mat 16x1+24 1000.0(0)/mV 16 0 136 -20557 0 V1
E09854.mat 16x1+24 1000.0(0)/mV 16 0 117 23267 0 V2
E09854.mat 16x1+24 1000.0(0)/mV 16 0 97 -10603 0 V3
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23915 0 V4
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30705 0 V5
E09854.mat 16x1+24 1000.0(0)/mV 16 0 -29 31723 0 V6
# Age: 67
# Sex: Male
# Dx: 426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown