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

File: <base>/training/georgia/g10/E09535.hea (744 bytes) 
E09535 12 500 5000
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -19 31857 0 I
E09535.mat 16x1+24 1000.0(0)/mV 16 0 165 -995 0 II
E09535.mat 16x1+24 1000.0(0)/mV 16 0 185 -31940 0 III
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -73 17573 0 aVR
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -102 31373 0 aVL
E09535.mat 16x1+24 1000.0(0)/mV 16 0 175 16338 0 aVF
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -48 28003 0 V1
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -34 30944 0 V2
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -39 6753 0 V3
E09535.mat 16x1+24 1000.0(0)/mV 16 0 131 11462 0 V4
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3405 0 V5
E09535.mat 16x1+24 1000.0(0)/mV 16 0 -117 -30722 0 V6
# Age: 80
# Sex: Male
# Dx: 270492004,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown