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

File: <base>/training/georgia/g6/E05592.hea (725 bytes)
E05592 12 500 5000
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -117 20108 0 I
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -117 1623 0 II
E05592.mat 16x1+24 1000.0(0)/mV 16 0 0 -17470 0 III
E05592.mat 16x1+24 1000.0(0)/mV 16 0 117 -10594 0 aVR
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14269 0 aVL
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -58 24886 0 aVF
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -185 -13760 0 V1
E05592.mat 16x1+24 1000.0(0)/mV 16 0 1620 -30402 0 V2
E05592.mat 16x1+24 1000.0(0)/mV 16 0 0 -27645 0 V3
E05592.mat 16x1+24 1000.0(0)/mV 16 0 331 30245 0 V4
E05592.mat 16x1+24 1000.0(0)/mV 16 0 -68 22758 0 V5
E05592.mat 16x1+24 1000.0(0)/mV 16 0 29 26104 0 V6
# Age: 74
# Sex: Male
# Dx: 59118001,426177001
# Rx: Unknown
# Hx: Unknown