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

File: <base>/training/georgia/g5/E04162.hea (731 bytes) 
E04162 12 500 5000
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -78 -17586 0 I
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -58 18483 0 II
E04162.mat 16x1+24 1000.0(0)/mV 16 0 19 -29289 0 III
E04162.mat 16x1+24 1000.0(0)/mV 16 0 68 -940 0 aVR
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -48 5894 0 aVL
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5561 0 aVF
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -29 9955 0 V1
E04162.mat 16x1+24 1000.0(0)/mV 16 0 9 -30076 0 V2
E04162.mat 16x1+24 1000.0(0)/mV 16 0 9 -14929 0 V3
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -19 31689 0 V4
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18248 0 V5
E04162.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30056 0 V6
# Age: 45
# Sex: Female
# Dx: 425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown