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

File: <base>/training/ptb-xl/g5/HR04262.hea (753 bytes) 
HR04262 12 500 5000
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -80 8750 0 I
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -115 10569 0 II
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -35 1819 0 III
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 98 -9471 0 aVR
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -22 -28600 0 aVL
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -75 -26000 0 aVF
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 5 9646 0 V1
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -70 -27207 0 V2
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -105 -23983 0 V3
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -140 -23297 0 V4
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -205 -27086 0 V5
HR04262.mat 16x1+24 1000.0(0)/mv 16 0 -125 -9498 0 V6
# Age: 66
# Sex: Male
# Dx: 11157007,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown