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

File: <base>/training/ptb/g1/S0091.hea (719 bytes) 
S0091 12 1000 115200
S0091.mat 16x1+24 1000.0(0)/mv 16 0 311 2172 0 I
S0091.mat 16x1+24 1000.0(0)/mv 16 0 2570 21868 0 II
S0091.mat 16x1+24 1000.0(0)/mv 16 0 2259 -30919 0 III
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -1441 12824 0 aVR
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -974 -12704 0 aVL
S0091.mat 16x1+24 1000.0(0)/mv 16 0 2415 29325 0 aVF
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -1123 27686 0 V1
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -1061 16144 0 V2
S0091.mat 16x1+24 1000.0(0)/mv 16 0 1091 -21498 0 V3
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -657 23587 0 V4
S0091.mat 16x1+24 1000.0(0)/mv 16 0 -1584 26741 0 V5
S0091.mat 16x1+24 1000.0(0)/mv 16 0 316 -25451 0 V6
# Age: 65
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown