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

File: <base>/training/cpsc_2018/g5/A4215.hea (699 bytes) 
A4215 12 500 12000
A4215.mat 16x1+24 1000.0(0)/mV 16 0 29 -2613 0 I
A4215.mat 16x1+24 1000.0(0)/mV 16 0 48 4734 0 II
A4215.mat 16x1+24 1000.0(0)/mV 16 0 18 -4653 0 III
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -38 3610 0 aVR
A4215.mat 16x1+24 1000.0(0)/mV 16 0 5 962 0 aVL
A4215.mat 16x1+24 1000.0(0)/mV 16 0 32 -4970 0 aVF
A4215.mat 16x1+24 1000.0(0)/mV 16 0 25 187 0 V1
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -2 1246 0 V2
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -59 1743 0 V3
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -23 -3478 0 V4
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -20 1806 0 V5
A4215.mat 16x1+24 1000.0(0)/mV 16 0 -119 1773 0 V6
# Age: 42
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown