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

File: <base>/training/georgia/g4/E03059.hea (733 bytes) 
E03059 12 500 5000
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -146 13981 0 I
E03059.mat 16x1+24 1000.0(0)/mV 16 0 29 14656 0 II
E03059.mat 16x1+24 1000.0(0)/mV 16 0 175 1117 0 III
E03059.mat 16x1+24 1000.0(0)/mV 16 0 58 -14406 0 aVR
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -161 -26805 0 aVL
E03059.mat 16x1+24 1000.0(0)/mV 16 0 102 -24958 0 aVF
E03059.mat 16x1+24 1000.0(0)/mV 16 0 117 30119 0 V1
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11768 0 V2
E03059.mat 16x1+24 1000.0(0)/mV 16 0 29 12218 0 V3
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -87 24260 0 V4
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -48 6220 0 V5
E03059.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22848 0 V6
# Age: 54
# Sex: Male
# Dx: 425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown