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

File: <base>/training/georgia/g10/E09592.hea (718 bytes) 
E09592 12 500 5000
E09592.mat 16x1+24 1000.0(0)/mV 16 0 48 1958 0 I
E09592.mat 16x1+24 1000.0(0)/mV 16 0 204 9552 0 II
E09592.mat 16x1+24 1000.0(0)/mV 16 0 156 8268 0 III
E09592.mat 16x1+24 1000.0(0)/mV 16 0 -126 27038 0 aVR
E09592.mat 16x1+24 1000.0(0)/mV 16 0 -53 -2546 0 aVL
E09592.mat 16x1+24 1000.0(0)/mV 16 0 180 -23851 0 aVF
E09592.mat 16x1+24 1000.0(0)/mV 16 0 73 32624 0 V1
E09592.mat 16x1+24 1000.0(0)/mV 16 0 322 5481 0 V2
E09592.mat 16x1+24 1000.0(0)/mV 16 0 507 15257 0 V3
E09592.mat 16x1+24 1000.0(0)/mV 16 0 561 -7484 0 V4
E09592.mat 16x1+24 1000.0(0)/mV 16 0 390 -12425 0 V5
E09592.mat 16x1+24 1000.0(0)/mV 16 0 146 8984 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002,164931005
# Rx: Unknown
# Hx: Unknown