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

File: <base>/training/ptb/g1/S0162.hea (714 bytes) 
S0162 12 1000 115200
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -1350 9348 0 I
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -1633 11847 0 II
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -283 28303 0 III
S0162.mat 16x1+24 1000.0(0)/mv 16 0 1492 17914 0 aVR
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -534 2316 0 aVL
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -958 -21621 0 aVF
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -275 12011 0 V1
S0162.mat 16x1+24 1000.0(0)/mv 16 0 67 19047 0 V2
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -173 17169 0 V3
S0162.mat 16x1+24 1000.0(0)/mv 16 0 626 12787 0 V4
S0162.mat 16x1+24 1000.0(0)/mv 16 0 332 -13921 0 V5
S0162.mat 16x1+24 1000.0(0)/mv 16 0 -87 -32176 0 V6
# Age: 44
# Sex: Female
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown