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

File: <base>/training/georgia/g1/E00959.hea (712 bytes) 
E00959 12 500 5000
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -48 29344 0 I
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19499 0 II
E00959.mat 16x1+24 1000.0(0)/mV 16 0 0 17301 0 III
E00959.mat 16x1+24 1000.0(0)/mV 16 0 48 27767 0 aVR
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -24 -26617 0 aVL
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -24 -1153 0 aVF
E00959.mat 16x1+24 1000.0(0)/mV 16 0 9 -28512 0 V1
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -19 7601 0 V2
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -29 24128 0 V3
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -58 -32332 0 V4
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -68 -18016 0 V5
E00959.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25067 0 V6
# Age: 52
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown