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

File: <base>/training/georgia/g10/E09503.hea (743 bytes) 
E09503 12 500 5000
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20459 0 I
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23842 0 II
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3262 0 III
E09503.mat 16x1+24 1000.0(0)/mV 16 0 24 21963 0 aVR
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -4 -8151 0 aVL
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13421 0 aVF
E09503.mat 16x1+24 1000.0(0)/mV 16 0 29 -17295 0 V1
E09503.mat 16x1+24 1000.0(0)/mV 16 0 9 -23747 0 V2
E09503.mat 16x1+24 1000.0(0)/mV 16 0 0 -20367 0 V3
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27770 0 V4
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24103 0 V5
E09503.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19138 0 V6
# Age: 80
# Sex: Male
# Dx: 270492004,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown