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

File: <base>/training/georgia/g6/E05884.hea (729 bytes)
E05884 12 500 5000
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15515 0 I
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7521 0 II
E05884.mat 16x1+24 1000.0(0)/mV 16 0 39 6717 0 III
E05884.mat 16x1+24 1000.0(0)/mV 16 0 48 11434 0 aVR
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -53 -11003 0 aVL
E05884.mat 16x1+24 1000.0(0)/mV 16 0 4 392 0 aVF
E05884.mat 16x1+24 1000.0(0)/mV 16 0 68 -10392 0 V1
E05884.mat 16x1+24 1000.0(0)/mV 16 0 58 -25303 0 V2
E05884.mat 16x1+24 1000.0(0)/mV 16 0 0 -26308 0 V3
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23928 0 V4
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4334 0 V5
E05884.mat 16x1+24 1000.0(0)/mV 16 0 -87 -26943 0 V6
# Age: 63
# Sex: Female
# Dx: 164909002,426177001,59931005
# Rx: Unknown
# Hx: Unknown