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

File: <base>/training/ptb/g1/S0043.hea (708 bytes) 
S0043 12 1000 115200
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -72 8395 0 I
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -629 13435 0 II
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -556 -28768 0 III
S0043.mat 16x1+24 1000.0(0)/mv 16 0 351 10629 0 aVR
S0043.mat 16x1+24 1000.0(0)/mv 16 0 242 21468 0 aVL
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -592 -5802 0 aVF
S0043.mat 16x1+24 1000.0(0)/mv 16 0 46 -28000 0 V1
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -60 -12125 0 V2
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -14 -31737 0 V3
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -7 23694 0 V4
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -28 -3652 0 V5
S0043.mat 16x1+24 1000.0(0)/mv 16 0 -210 -15251 0 V6
# Age: 63
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown