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

File: <base>/training/georgia/g6/E05614.hea (721 bytes) 
E05614 12 500 5000
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -87 -32303 0 I
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -78 19271 0 II
E05614.mat 16x1+24 1000.0(0)/mV 16 0 9 -13433 0 III
E05614.mat 16x1+24 1000.0(0)/mV 16 0 82 -26235 0 aVR
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9222 0 aVL
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -34 -29799 0 aVF
E05614.mat 16x1+24 1000.0(0)/mV 16 0 9 -26526 0 V1
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -78 25112 0 V2
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -78 -5413 0 V3
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -9 15700 0 V4
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -97 28078 0 V5
E05614.mat 16x1+24 1000.0(0)/mV 16 0 -29 32238 0 V6
# Age: 65
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown