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

File: <base>/training/ptb-xl/g2/HR01712.hea (762 bytes) 
HR01712 12 500 5000
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 -235 -25985 0 I
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 -140 4856 0 II
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 95 30822 0 III
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 187 10258 0 aVR
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 -165 -28233 0 aVL
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 -22 17806 0 aVF
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 215 -5581 0 V1
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 140 -14931 0 V2
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 200 -29766 0 V3
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 160 28315 0 V4
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 170 7784 0 V5
HR01712.mat 16x1+24 1000.0(0)/mv 16 0 120 -1223 0 V6
# Age: 51
# Sex: Male
# Dx: 164934002,39732003,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown