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

File: <base>/training/cpsc_2018/g5/A4353.hea (713 bytes) 
A4353 12 500 18000
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -28 5451 0 I
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -37 -3213 0 II
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8664 0 III
A4353.mat 16x1+24 1000.0(0)/mV 16 0 32 -455 0 aVR
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -9 6554 0 aVL
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -23 -6044 0 aVF
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -61 3632 0 V1
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -50 2638 0 V2
A4353.mat 16x1+24 1000.0(0)/mV 16 0 33 5664 0 V3
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -88 7799 0 V4
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -127 -2504 0 V5
A4353.mat 16x1+24 1000.0(0)/mV 16 0 -184 3638 0 V6
# Age: 52
# Sex: Male
# Dx: 59118001,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown