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

File: <base>/training/cpsc_2018/g1/A0942.hea (669 bytes) 
A0942 12 500 5787
A0942.mat 16x1+24 1000.0(0)/mV 16 0 17 -29 0 I
A0942.mat 16x1+24 1000.0(0)/mV 16 0 6 18 0 II
A0942.mat 16x1+24 1000.0(0)/mV 16 0 -10 33 0 III
A0942.mat 16x1+24 1000.0(0)/mV 16 0 -11 -14 0 aVR
A0942.mat 16x1+24 1000.0(0)/mV 16 0 14 34 0 aVL
A0942.mat 16x1+24 1000.0(0)/mV 16 0 -2 -9 0 aVF
A0942.mat 16x1+24 1000.0(0)/mV 16 0 32 14 0 V1
A0942.mat 16x1+24 1000.0(0)/mV 16 0 17 14 0 V2
A0942.mat 16x1+24 1000.0(0)/mV 16 0 192 -4 0 V3
A0942.mat 16x1+24 1000.0(0)/mV 16 0 63 9 0 V4
A0942.mat 16x1+24 1000.0(0)/mV 16 0 34 -18 0 V5
A0942.mat 16x1+24 1000.0(0)/mV 16 0 62 22 0 V6
# Age: 27
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown