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

File: <base>/training/georgia/g1/E00957.hea (723 bytes) 
E00957 12 500 5000
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24668 0 I
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -9 31785 0 II
E00957.mat 16x1+24 1000.0(0)/mV 16 0 78 -8486 0 III
E00957.mat 16x1+24 1000.0(0)/mV 16 0 48 29385 0 aVR
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -82 -7805 0 aVL
E00957.mat 16x1+24 1000.0(0)/mV 16 0 34 -21097 0 aVF
E00957.mat 16x1+24 1000.0(0)/mV 16 0 156 17827 0 V1
E00957.mat 16x1+24 1000.0(0)/mV 16 0 575 30380 0 V2
E00957.mat 16x1+24 1000.0(0)/mV 16 0 419 19298 0 V3
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18435 0 V4
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -48 11223 0 V5
E00957.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2839 0 V6
# Age: 45
# Sex: Female
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown