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

File: <base>/training/ptb-xl/g10/HR09972.hea (740 bytes) 
HR09972 12 500 5000
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -30 -30314 0 I
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -50 3781 0 II
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -20 -31470 0 III
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 40 12833 0 aVR
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -5 -32052 0 aVL
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -35 18795 0 aVF
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -15 9112 0 V1
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -75 -7721 0 V2
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -70 27939 0 V3
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -115 -29740 0 V4
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 10 13436 0 V5
HR09972.mat 16x1+24 1000.0(0)/mv 16 0 -40 -18617 0 V6
# Age: 46
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown