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

File: <base>/training/georgia/g4/E03283.hea (752 bytes) 
E03283 12 500 5000
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -48 -13451 0 I
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28015 0 II
E03283.mat 16x1+24 1000.0(0)/mV 16 0 39 -14581 0 III
E03283.mat 16x1+24 1000.0(0)/mV 16 0 29 20774 0 aVR
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -43 888 0 aVL
E03283.mat 16x1+24 1000.0(0)/mV 16 0 14 -21380 0 aVF
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -165 -30645 0 V1
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -556 -11131 0 V2
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -712 -11854 0 V3
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -536 -26062 0 V4
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -370 -12976 0 V5
E03283.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29088 0 V6
# Age: 50
# Sex: Male
# Dx: 445118002,425623009,284470004,284470004
# Rx: Unknown
# Hx: Unknown