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

File: <base>/training/cpsc_2018/g7/A6352.hea (666 bytes) 
A6352 12 500 7000
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -15 19 0 I
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -14 9 0 II
A6352.mat 16x1+24 1000.0(0)/mV 16 0 0 -9 0 III
A6352.mat 16x1+24 1000.0(0)/mV 16 0 14 23 0 aVR
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -8 -24 0 aVL
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -7 3 0 aVF
A6352.mat 16x1+24 1000.0(0)/mV 16 0 16 39 0 V1
A6352.mat 16x1+24 1000.0(0)/mV 16 0 7 -14 0 V2
A6352.mat 16x1+24 1000.0(0)/mV 16 0 3 34 0 V3
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -1 27 0 V4
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -14 -68 0 V5
A6352.mat 16x1+24 1000.0(0)/mV 16 0 -22 2 0 V6
# Age: 56
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown