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

File: <base>/training/cpsc_2018/g5/A4822.hea (691 bytes) 
A4822 12 500 5422
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -30 -25 0 I
A4822.mat 16x1+24 1000.0(0)/mV 16 0 19 -292 0 II
A4822.mat 16x1+24 1000.0(0)/mV 16 0 48 -196 0 III
A4822.mat 16x1+24 1000.0(0)/mV 16 0 6 161 0 aVR
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -39 85 0 aVL
A4822.mat 16x1+24 1000.0(0)/mV 16 0 33 -236 0 aVF
A4822.mat 16x1+24 1000.0(0)/mV 16 0 48 217 0 V1
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -43 179 0 V2
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -127 -18 0 V3
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -99 -178 0 V4
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -86 -352 0 V5
A4822.mat 16x1+24 1000.0(0)/mV 16 0 -39 -239 0 V6
# Age: 27
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown