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

File: <base>/training/cpsc_2018/g5/A4782.hea (684 bytes) 
A4782 12 500 24114
A4782.mat 16x1+24 1000.0(0)/mV 16 0 81 -74 0 I
A4782.mat 16x1+24 1000.0(0)/mV 16 0 207 -13 0 II
A4782.mat 16x1+24 1000.0(0)/mV 16 0 126 58 0 III
A4782.mat 16x1+24 1000.0(0)/mV 16 0 -144 37 0 aVR
A4782.mat 16x1+24 1000.0(0)/mV 16 0 -23 47 0 aVL
A4782.mat 16x1+24 1000.0(0)/mV 16 0 166 -50 0 aVF
A4782.mat 16x1+24 1000.0(0)/mV 16 0 -92 115 0 V1
A4782.mat 16x1+24 1000.0(0)/mV 16 0 80 -14 0 V2
A4782.mat 16x1+24 1000.0(0)/mV 16 0 245 89 0 V3
A4782.mat 16x1+24 1000.0(0)/mV 16 0 235 75 0 V4
A4782.mat 16x1+24 1000.0(0)/mV 16 0 194 125 0 V5
A4782.mat 16x1+24 1000.0(0)/mV 16 0 161 -29 0 V6
# Age: 51
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown