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

File: <base>/training/georgia/g6/E05364.hea (740 bytes) 
E05364 12 500 5000
E05364.mat 16x1+24 1000.0(0)/mV 16 0 39 13630 0 I
E05364.mat 16x1+24 1000.0(0)/mV 16 0 48 31629 0 II
E05364.mat 16x1+24 1000.0(0)/mV 16 0 9 17163 0 III
E05364.mat 16x1+24 1000.0(0)/mV 16 0 -43 -22553 0 aVR
E05364.mat 16x1+24 1000.0(0)/mV 16 0 14 31003 0 aVL
E05364.mat 16x1+24 1000.0(0)/mV 16 0 29 -8360 0 aVF
E05364.mat 16x1+24 1000.0(0)/mV 16 0 117 -22872 0 V1
E05364.mat 16x1+24 1000.0(0)/mV 16 0 97 -21242 0 V2
E05364.mat 16x1+24 1000.0(0)/mV 16 0 0 -28342 0 V3
E05364.mat 16x1+24 1000.0(0)/mV 16 0 87 23457 0 V4
E05364.mat 16x1+24 1000.0(0)/mV 16 0 1083 22363 0 V5
E05364.mat 16x1+24 1000.0(0)/mV 16 0 0 -31225 0 V6
# Age: 61
# Sex: Male
# Dx: 445118002,428750005,67741000119109,59931005
# Rx: Unknown
# Hx: Unknown