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

File: <base>/training/georgia/g10/E09842.hea (729 bytes) 
E09842 12 500 5000
E09842.mat 16x1+24 1000.0(0)/mV 16 0 19 1634 0 I
E09842.mat 16x1+24 1000.0(0)/mV 16 0 185 -9072 0 II
E09842.mat 16x1+24 1000.0(0)/mV 16 0 165 -10482 0 III
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -102 3607 0 aVR
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -73 6077 0 aVL
E09842.mat 16x1+24 1000.0(0)/mV 16 0 175 -9683 0 aVF
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -117 -6461 0 V1
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -29 31187 0 V2
E09842.mat 16x1+24 1000.0(0)/mV 16 0 48 -28327 0 V3
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -253 6898 0 V4
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -9 253 0 V5
E09842.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15746 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,426177001,284470004
# Rx: Unknown
# Hx: Unknown