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

File: <base>/training/georgia/g1/E00937.hea (733 bytes) 
E00937 12 500 5000
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22233 0 I
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -273 -18902 0 II
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -244 3547 0 III
E00937.mat 16x1+24 1000.0(0)/mV 16 0 151 20514 0 aVR
E00937.mat 16x1+24 1000.0(0)/mV 16 0 107 -12682 0 aVL
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -258 -7544 0 aVF
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -146 -28480 0 V1
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -370 21353 0 V2
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -1122 32230 0 V3
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -1024 31790 0 V4
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -429 -23455 0 V5
E00937.mat 16x1+24 1000.0(0)/mV 16 0 -48 31149 0 V6
# Age: 68
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown