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

File: <base>/training/georgia/g1/E00983.hea (711 bytes) 
E00983 12 500 5000
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -117 -24797 0 I
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -136 30147 0 II
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9824 0 III
E00983.mat 16x1+24 1000.0(0)/mV 16 0 126 30136 0 aVR
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -48 25696 0 aVL
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -78 9822 0 aVF
E00983.mat 16x1+24 1000.0(0)/mV 16 0 0 15286 0 V1
E00983.mat 16x1+24 1000.0(0)/mV 16 0 29 9939 0 V2
E00983.mat 16x1+24 1000.0(0)/mV 16 0 58 -25647 0 V3
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3827 0 V4
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -87 5490 0 V5
E00983.mat 16x1+24 1000.0(0)/mV 16 0 -58 12055 0 V6
# Age: 71
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown