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

File: <base>/training/cpsc_2018/g4/A3832.hea (696 bytes) 
A3832 12 500 9500
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -8 -2839 0 I
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -8 2996 0 II
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -1 -3665 0 III
A3832.mat 16x1+24 1000.0(0)/mV 16 0 8 -897 0 aVR
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -3 4325 0 aVL
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -5 -4025 0 aVF
A3832.mat 16x1+24 1000.0(0)/mV 16 0 27 -2865 0 V1
A3832.mat 16x1+24 1000.0(0)/mV 16 0 46 2330 0 V2
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -51 4433 0 V3
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -52 1958 0 V4
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -42 1796 0 V5
A3832.mat 16x1+24 1000.0(0)/mV 16 0 -117 442 0 V6
# Age: 59
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown