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

File: <base>/training/georgia/g10/E09847.hea (727 bytes) 
E09847 12 500 5000
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -43 -30695 0 I
E09847.mat 16x1+24 1000.0(0)/mV 16 0 24 -16168 0 II
E09847.mat 16x1+24 1000.0(0)/mV 16 0 68 14166 0 III
E09847.mat 16x1+24 1000.0(0)/mV 16 0 9 23288 0 aVR
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -56 -22290 0 aVL
E09847.mat 16x1+24 1000.0(0)/mV 16 0 46 -770 0 aVF
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -92 18732 0 V1
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -63 21496 0 V2
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -19 5294 0 V3
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -4 -30651 0 V4
E09847.mat 16x1+24 1000.0(0)/mV 16 0 -4 -28394 0 V5
E09847.mat 16x1+24 1000.0(0)/mV 16 0 141 32080 0 V6
# Age: 62
# Sex: Male
# Dx: 428750005,59931005,284470004
# Rx: Unknown
# Hx: Unknown