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

File: <base>/training/georgia/g10/E09711.hea (742 bytes) 
E09711 12 500 5000
E09711.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10822 0 I
E09711.mat 16x1+24 1000.0(0)/mV 16 0 -185 7296 0 II
E09711.mat 16x1+24 1000.0(0)/mV 16 0 -117 18935 0 III
E09711.mat 16x1+24 1000.0(0)/mV 16 0 126 -30822 0 aVR
E09711.mat 16x1+24 1000.0(0)/mV 16 0 24 18059 0 aVL
E09711.mat 16x1+24 1000.0(0)/mV 16 0 -151 13128 0 aVF
E09711.mat 16x1+24 1000.0(0)/mV 16 0 204 5945 0 V1
E09711.mat 16x1+24 1000.0(0)/mV 16 0 283 29556 0 V2
E09711.mat 16x1+24 1000.0(0)/mV 16 0 312 28824 0 V3
E09711.mat 16x1+24 1000.0(0)/mV 16 0 195 -14090 0 V4
E09711.mat 16x1+24 1000.0(0)/mV 16 0 156 -17708 0 V5
E09711.mat 16x1+24 1000.0(0)/mV 16 0 126 -14820 0 V6
# Age: 63
# Sex: Male
# Dx: 713426002,67741000119109,426434006
# Rx: Unknown
# Hx: Unknown