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

File: <base>/training/georgia/g10/E09376.hea (733 bytes) 
E09376 12 500 5000
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -39 -690 0 I
E09376.mat 16x1+24 1000.0(0)/mV 16 0 126 -15732 0 II
E09376.mat 16x1+24 1000.0(0)/mV 16 0 165 -14858 0 III
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -43 -24680 0 aVR
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -102 -25532 0 aVL
E09376.mat 16x1+24 1000.0(0)/mV 16 0 146 -15164 0 aVF
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -156 -23514 0 V1
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -136 -9593 0 V2
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -204 15470 0 V3
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -117 -4763 0 V4
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -39 22384 0 V5
E09376.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16157 0 V6
# Age: 65
# Sex: Male
# Dx: 713426002,164884008
# Rx: Unknown
# Hx: Unknown