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

File: <base>/training/georgia/g10/E09841.hea (726 bytes) 
E09841 12 500 5000
E09841.mat 16x1+24 1000.0(0)/mV 16 0 -78 -24953 0 I
E09841.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2023 0 II
E09841.mat 16x1+24 1000.0(0)/mV 16 0 48 23152 0 III
E09841.mat 16x1+24 1000.0(0)/mV 16 0 53 -19697 0 aVR
E09841.mat 16x1+24 1000.0(0)/mV 16 0 -63 8851 0 aVL
E09841.mat 16x1+24 1000.0(0)/mV 16 0 9 10124 0 aVF
E09841.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11683 0 V1
E09841.mat 16x1+24 1000.0(0)/mV 16 0 9 -11620 0 V2
E09841.mat 16x1+24 1000.0(0)/mV 16 0 19 8299 0 V3
E09841.mat 16x1+24 1000.0(0)/mV 16 0 78 -24190 0 V4
E09841.mat 16x1+24 1000.0(0)/mV 16 0 48 -10328 0 V5
E09841.mat 16x1+24 1000.0(0)/mV 16 0 -29 5693 0 V6
# Age: 57
# Sex: Male
# Dx: 164873001,426434006,164917005
# Rx: Unknown
# Hx: Unknown