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

File: <base>/training/cpsc_2018/g2/A1042.hea (702 bytes) 
A1042 12 500 5000
A1042.mat 16x1+24 1000.0(0)/mV 16 0 174 431 0 I
A1042.mat 16x1+24 1000.0(0)/mV 16 0 285 197 0 II
A1042.mat 16x1+24 1000.0(0)/mV 16 0 111 -234 0 III
A1042.mat 16x1+24 1000.0(0)/mV 16 0 -229 -689 0 aVR
A1042.mat 16x1+24 1000.0(0)/mV 16 0 31 -1786 0 aVL
A1042.mat 16x1+24 1000.0(0)/mV 16 0 197 -1932 0 aVF
A1042.mat 16x1+24 1000.0(0)/mV 16 0 -58 -113 0 V1
A1042.mat 16x1+24 1000.0(0)/mV 16 0 363 -506 0 V2
A1042.mat 16x1+24 1000.0(0)/mV 16 0 354 -1884 0 V3
A1042.mat 16x1+24 1000.0(0)/mV 16 0 388 -2357 0 V4
A1042.mat 16x1+24 1000.0(0)/mV 16 0 474 244 0 V5
A1042.mat 16x1+24 1000.0(0)/mV 16 0 778 -847 0 V6
# Age: 77
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown