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

File: <base>/training/georgia/g1/E00466.hea (716 bytes) 
E00466 12 500 5000
E00466.mat 16x1+24 1000.0(0)/mV 16 0 -366 18993 0 I
E00466.mat 16x1+24 1000.0(0)/mV 16 0 63 19558 0 II
E00466.mat 16x1+24 1000.0(0)/mV 16 0 429 99 0 III
E00466.mat 16x1+24 1000.0(0)/mV 16 0 151 13896 0 aVR
E00466.mat 16x1+24 1000.0(0)/mV 16 0 -397 9531 0 aVL
E00466.mat 16x1+24 1000.0(0)/mV 16 0 246 -23042 0 aVF
E00466.mat 16x1+24 1000.0(0)/mV 16 0 92 27689 0 V1
E00466.mat 16x1+24 1000.0(0)/mV 16 0 122 -31724 0 V2
E00466.mat 16x1+24 1000.0(0)/mV 16 0 224 -31869 0 V3
E00466.mat 16x1+24 1000.0(0)/mV 16 0 146 -27157 0 V4
E00466.mat 16x1+24 1000.0(0)/mV 16 0 126 -29962 0 V5
E00466.mat 16x1+24 1000.0(0)/mV 16 0 146 -31591 0 V6
# Age: 80
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown