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

File: <base>/training/cpsc_2018/g3/A2292.hea (677 bytes) 
A2292 12 500 11727
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9 0 I
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -16 -13 0 II
A2292.mat 16x1+24 1000.0(0)/mV 16 0 4 -15 0 III
A2292.mat 16x1+24 1000.0(0)/mV 16 0 18 23 0 aVR
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -11 6 0 aVL
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -5 -36 0 aVF
A2292.mat 16x1+24 1000.0(0)/mV 16 0 49 31 0 V1
A2292.mat 16x1+24 1000.0(0)/mV 16 0 2 -16 0 V2
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -32 -3 0 V3
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -16 0 0 V4
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -88 -15 0 V5
A2292.mat 16x1+24 1000.0(0)/mV 16 0 -134 22 0 V6
# Age: 71
# Sex: Female
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown