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

File: <base>/training/ptb-xl/g5/HR04022.hea (752 bytes) 
HR04022 12 500 5000
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 -90 21650 0 I
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 30 -5732 0 II
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 120 -27378 0 III
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 30 -7749 0 aVR
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 -105 24761 0 aVL
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 75 -16219 0 aVF
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 110 19722 0 V1
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 320 -31101 0 V2
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 535 -11463 0 V3
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 265 -16023 0 V4
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 230 21407 0 V5
HR04022.mat 16x1+24 1000.0(0)/mv 16 0 -95 -1429 0 V6
# Age: 59
# Sex: Male
# Dx: 164873001,164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown