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

File: <base>/training/georgia/g5/E04993.hea (740 bytes)
E04993 12 500 5000
E04993.mat 16x1+24 1000.0(0)/mV 16 0 107 -23894 0 I
E04993.mat 16x1+24 1000.0(0)/mV 16 0 97 10682 0 II
E04993.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32099 0 III
E04993.mat 16x1+24 1000.0(0)/mV 16 0 -102 6605 0 aVR
E04993.mat 16x1+24 1000.0(0)/mV 16 0 58 3854 0 aVL
E04993.mat 16x1+24 1000.0(0)/mV 16 0 43 -10457 0 aVF
E04993.mat 16x1+24 1000.0(0)/mV 16 0 -48 7368 0 V1
E04993.mat 16x1+24 1000.0(0)/mV 16 0 185 -4721 0 V2
E04993.mat 16x1+24 1000.0(0)/mV 16 0 97 -18982 0 V3
E04993.mat 16x1+24 1000.0(0)/mV 16 0 107 26255 0 V4
E04993.mat 16x1+24 1000.0(0)/mV 16 0 -39 23134 0 V5
E04993.mat 16x1+24 1000.0(0)/mV 16 0 204 -24399 0 V6
# Age: 78
# Sex: Male
# Dx: 428750005,111975006,164930006,164873001
# Rx: Unknown
# Hx: Unknown