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

File: <base>/training/georgia/g10/E09948.hea (709 bytes) 
E09948 12 500 2500
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9415 0 I
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -48 -858 0 II
E09948.mat 16x1+24 1000.0(0)/mV 16 0 9 8710 0 III
E09948.mat 16x1+24 1000.0(0)/mV 16 0 53 5103 0 aVR
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9037 0 aVL
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -19 4070 0 aVF
E09948.mat 16x1+24 1000.0(0)/mV 16 0 9 23694 0 V1
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -29 5731 0 V2
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -39 20662 0 V3
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -29 9715 0 V4
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -48 14315 0 V5
E09948.mat 16x1+24 1000.0(0)/mV 16 0 -9 13306 0 V6
# Age: 61
# Sex: Male
# Dx: 17338001,713426002
# Rx: Unknown
# Hx: Unknown