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

File: <base>/training/georgia/g6/E05913.hea (720 bytes) 
E05913 12 500 5000
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -87 -13406 0 I
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -92 9316 0 II
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -4 23194 0 III
E05913.mat 16x1+24 1000.0(0)/mV 16 0 90 -30748 0 aVR
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -41 14628 0 aVL
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -48 16360 0 aVF
E05913.mat 16x1+24 1000.0(0)/mV 16 0 63 -25006 0 V1
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -14 -16593 0 V2
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -29 20023 0 V3
E05913.mat 16x1+24 1000.0(0)/mV 16 0 4 -1153 0 V4
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -63 -6967 0 V5
E05913.mat 16x1+24 1000.0(0)/mV 16 0 -78 15271 0 V6
# Age: 45
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown