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

File: <base>/training/cpsc_2018/g6/A5992.hea (702 bytes) 
A5992 12 500 5000
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -85 365 0 I
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -102 937 0 II
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -17 572 0 III
A5992.mat 16x1+24 1000.0(0)/mV 16 0 94 1519 0 aVR
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2184 0 aVL
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -59 1628 0 aVF
A5992.mat 16x1+24 1000.0(0)/mV 16 0 33 2155 0 V1
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -22 -1037 0 V2
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -65 -784 0 V3
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -160 103 0 V4
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -85 1556 0 V5
A5992.mat 16x1+24 1000.0(0)/mV 16 0 -63 -1052 0 V6
# Age: 34
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown