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

File: <base>/training/georgia/g1/E00122.hea (729 bytes) 
E00122 12 500 5000
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15830 0 I
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -165 20953 0 II
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -126 -28619 0 III
E00122.mat 16x1+24 1000.0(0)/mV 16 0 102 -2605 0 aVR
E00122.mat 16x1+24 1000.0(0)/mV 16 0 43 -26253 0 aVL
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -146 29016 0 aVF
E00122.mat 16x1+24 1000.0(0)/mV 16 0 58 -4572 0 V1
E00122.mat 16x1+24 1000.0(0)/mV 16 0 117 25793 0 V2
E00122.mat 16x1+24 1000.0(0)/mV 16 0 48 28726 0 V3
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -117 -2434 0 V4
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -68 11582 0 V5
E00122.mat 16x1+24 1000.0(0)/mV 16 0 -107 21450 0 V6
# Age: 59
# Sex: Female
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown