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

File: <base>/training/georgia/g6/E05841.hea (730 bytes) 
E05841 12 500 5000
E05841.mat 16x1+24 1000.0(0)/mV 16 0 58 -18427 0 I
E05841.mat 16x1+24 1000.0(0)/mV 16 0 29 27180 0 II
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20347 0 III
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -43 28200 0 aVR
E05841.mat 16x1+24 1000.0(0)/mV 16 0 43 805 0 aVL
E05841.mat 16x1+24 1000.0(0)/mV 16 0 0 -29583 0 aVF
E05841.mat 16x1+24 1000.0(0)/mV 16 0 29 -32630 0 V1
E05841.mat 16x1+24 1000.0(0)/mV 16 0 195 25518 0 V2
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -97 9796 0 V3
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -58 3546 0 V4
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -107 -23475 0 V5
E05841.mat 16x1+24 1000.0(0)/mV 16 0 -234 -16809 0 V6
# Age: 72
# Sex: Male
# Dx: 427393009,251146004,164934002
# Rx: Unknown
# Hx: Unknown