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

File: <base>/training/cpsc_2018/g7/A6392.hea (693 bytes) 
A6392 12 500 5000
A6392.mat 16x1+24 1000.0(0)/mV 16 0 20 -1079 0 I
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -27 733 0 II
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -47 1812 0 III
A6392.mat 16x1+24 1000.0(0)/mV 16 0 3 2003 0 aVR
A6392.mat 16x1+24 1000.0(0)/mV 16 0 33 -1774 0 aVL
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -38 -962 0 aVF
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -12 -2305 0 V1
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -10 -725 0 V2
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -6 679 0 V3
A6392.mat 16x1+24 1000.0(0)/mV 16 0 -16 2418 0 V4
A6392.mat 16x1+24 1000.0(0)/mV 16 0 19 1370 0 V5
A6392.mat 16x1+24 1000.0(0)/mV 16 0 36 587 0 V6
# Age: 72
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown