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

File: <base>/training/georgia/g5/E04791.hea (733 bytes) 
E04791 12 500 5000
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17540 0 I
E04791.mat 16x1+24 1000.0(0)/mV 16 0 68 -5783 0 II
E04791.mat 16x1+24 1000.0(0)/mV 16 0 107 12621 0 III
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -14 11900 0 aVR
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -73 17719 0 aVL
E04791.mat 16x1+24 1000.0(0)/mV 16 0 87 -29233 0 aVF
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28937 0 V1
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -146 -7543 0 V2
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -78 32269 0 V3
E04791.mat 16x1+24 1000.0(0)/mV 16 0 0 -7602 0 V4
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -312 6012 0 V5
E04791.mat 16x1+24 1000.0(0)/mV 16 0 -273 -3634 0 V6
# Age: 79
# Sex: Female
# Dx: 428750005,164889003,39732003
# Rx: Unknown
# Hx: Unknown