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

File: <base>/training/georgia/g10/E09952.hea (749 bytes) 
E09952 12 500 5000
E09952.mat 16x1+24 1000.0(0)/mV 16 0 112 -21947 0 I
E09952.mat 16x1+24 1000.0(0)/mV 16 0 14 -28187 0 II
E09952.mat 16x1+24 1000.0(0)/mV 16 0 -97 -5862 0 III
E09952.mat 16x1+24 1000.0(0)/mV 16 0 -63 25396 0 aVR
E09952.mat 16x1+24 1000.0(0)/mV 16 0 104 -8138 0 aVL
E09952.mat 16x1+24 1000.0(0)/mV 16 0 -41 -16480 0 aVF
E09952.mat 16x1+24 1000.0(0)/mV 16 0 -73 -9510 0 V1
E09952.mat 16x1+24 1000.0(0)/mV 16 0 29 18455 0 V2
E09952.mat 16x1+24 1000.0(0)/mV 16 0 24 32045 0 V3
E09952.mat 16x1+24 1000.0(0)/mV 16 0 43 -16133 0 V4
E09952.mat 16x1+24 1000.0(0)/mV 16 0 39 904 0 V5
E09952.mat 16x1+24 1000.0(0)/mV 16 0 48 -12595 0 V6
# Age: 69
# Sex: Male
# Dx: 445211001,111975006,428750005,164930006,251268003
# Rx: Unknown
# Hx: Unknown