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

File: <base>/training/georgia/g4/E03913.hea (712 bytes) 
E03913 12 500 5000
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1324 0 I
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1044 0 II
E03913.mat 16x1+24 1000.0(0)/mV 16 0 29 310 0 III
E03913.mat 16x1+24 1000.0(0)/mV 16 0 24 1263 0 aVR
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -34 -444 0 aVL
E03913.mat 16x1+24 1000.0(0)/mV 16 0 9 -270 0 aVF
E03913.mat 16x1+24 1000.0(0)/mV 16 0 19 -32026 0 V1
E03913.mat 16x1+24 1000.0(0)/mV 16 0 78 -24693 0 V2
E03913.mat 16x1+24 1000.0(0)/mV 16 0 39 -18656 0 V3
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -9 25581 0 V4
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -58 19814 0 V5
E03913.mat 16x1+24 1000.0(0)/mV 16 0 -58 14199 0 V6
# Age: 79
# Sex: Female
# Dx: 164889003,59931005
# Rx: Unknown
# Hx: Unknown