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

File: <base>/training/georgia/g10/E09375.hea (755 bytes)
E09375 12 500 5000
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -19 21636 0 I
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -73 -4454 0 II
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -53 -25306 0 III
E09375.mat 16x1+24 1000.0(0)/mV 16 0 46 -8690 0 aVR
E09375.mat 16x1+24 1000.0(0)/mV 16 0 17 23183 0 aVL
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -63 -14846 0 aVF
E09375.mat 16x1+24 1000.0(0)/mV 16 0 92 -5820 0 V1
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -126 -16062 0 V2
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -273 12019 0 V3
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -278 9423 0 V4
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -190 -2189 0 V5
E09375.mat 16x1+24 1000.0(0)/mV 16 0 -122 22112 0 V6
# Age: 46
# Sex: Male
# Dx: 445211001,428417006,426177001,59931005,164873001
# Rx: Unknown
# Hx: Unknown