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

File: <base>/training/georgia/g6/E05945.hea (712 bytes) 
E05945 12 500 5000
E05945.mat 16x1+24 1000.0(0)/mV 16 0 9 13263 0 I
E05945.mat 16x1+24 1000.0(0)/mV 16 0 29 -19897 0 II
E05945.mat 16x1+24 1000.0(0)/mV 16 0 19 32271 0 III
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -19 3303 0 aVR
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -4 -8658 0 aVL
E05945.mat 16x1+24 1000.0(0)/mV 16 0 24 6678 0 aVF
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -39 29630 0 V1
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28682 0 V2
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -58 18144 0 V3
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -97 -13427 0 V4
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -136 -4961 0 V5
E05945.mat 16x1+24 1000.0(0)/mV 16 0 -107 -30770 0 V6
# Age: 20
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown