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

File: <base>/training/georgia/g10/E09913.hea (727 bytes) 
E09913 12 500 5000
E09913.mat 16x1+24 1000.0(0)/mV 16 0 -126 -29052 0 I
E09913.mat 16x1+24 1000.0(0)/mV 16 0 -29 20622 0 II
E09913.mat 16x1+24 1000.0(0)/mV 16 0 97 -16058 0 III
E09913.mat 16x1+24 1000.0(0)/mV 16 0 78 4223 0 aVR
E09913.mat 16x1+24 1000.0(0)/mV 16 0 -112 26476 0 aVL
E09913.mat 16x1+24 1000.0(0)/mV 16 0 34 -30792 0 aVF
E09913.mat 16x1+24 1000.0(0)/mV 16 0 39 -15884 0 V1
E09913.mat 16x1+24 1000.0(0)/mV 16 0 19 -10833 0 V2
E09913.mat 16x1+24 1000.0(0)/mV 16 0 19 10822 0 V3
E09913.mat 16x1+24 1000.0(0)/mV 16 0 19 -23341 0 V4
E09913.mat 16x1+24 1000.0(0)/mV 16 0 48 -15526 0 V5
E09913.mat 16x1+24 1000.0(0)/mV 16 0 48 -21637 0 V6
# Age: 67
# Sex: Male
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown