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

File: <base>/training/georgia/g6/E05905.hea (772 bytes) 
E05905 12 500 5000
E05905.mat 16x1+24 1000.0(0)/mV 16 0 244 -23240 0 I
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -590 -20842 0 II
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -834 2949 0 III
E05905.mat 16x1+24 1000.0(0)/mV 16 0 173 21984 0 aVR
E05905.mat 16x1+24 1000.0(0)/mV 16 0 539 -13436 0 aVL
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -712 -8973 0 aVF
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -297 7978 0 V1
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -629 23238 0 V2
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -414 -23808 0 V3
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -200 -12238 0 V4
E05905.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1374 0 V5
E05905.mat 16x1+24 1000.0(0)/mV 16 0 102 -3693 0 V6
# Age: 70
# Sex: Male
# Dx: 111975006,164930006,164889003,426434006,425419005,164934002
# Rx: Unknown
# Hx: Unknown