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

File: <base>/training/georgia/g10/E09415.hea (729 bytes) 
E09415 12 500 5000
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -58 22758 0 I
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13238 0 II
E09415.mat 16x1+24 1000.0(0)/mV 16 0 19 29831 0 III
E09415.mat 16x1+24 1000.0(0)/mV 16 0 48 27423 0 aVR
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -39 29303 0 aVL
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -9 8393 0 aVF
E09415.mat 16x1+24 1000.0(0)/mV 16 0 39 -4337 0 V1
E09415.mat 16x1+24 1000.0(0)/mV 16 0 58 11212 0 V2
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1598 0 V3
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -58 18530 0 V4
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -87 -13746 0 V5
E09415.mat 16x1+24 1000.0(0)/mV 16 0 -78 8967 0 V6
# Age: 61
# Sex: Female
# Dx: 428750005,426177001,251146004
# Rx: Unknown
# Hx: Unknown