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

File: <base>/training/georgia/g10/E09765.hea (719 bytes) 
E09765 12 500 5000
E09765.mat 16x1+24 1000.0(0)/mV 16 0 48 -9152 0 I
E09765.mat 16x1+24 1000.0(0)/mV 16 0 68 20849 0 II
E09765.mat 16x1+24 1000.0(0)/mV 16 0 19 29599 0 III
E09765.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5957 0 aVR
E09765.mat 16x1+24 1000.0(0)/mV 16 0 14 13535 0 aVL
E09765.mat 16x1+24 1000.0(0)/mV 16 0 43 -7788 0 aVF
E09765.mat 16x1+24 1000.0(0)/mV 16 0 68 32364 0 V1
E09765.mat 16x1+24 1000.0(0)/mV 16 0 19 552 0 V2
E09765.mat 16x1+24 1000.0(0)/mV 16 0 68 -13765 0 V3
E09765.mat 16x1+24 1000.0(0)/mV 16 0 48 -22312 0 V4
E09765.mat 16x1+24 1000.0(0)/mV 16 0 0 24436 0 V5
E09765.mat 16x1+24 1000.0(0)/mV 16 0 19 21023 0 V6
# Age: 66
# Sex: Male
# Dx: 270492004,39732003,426177001
# Rx: Unknown
# Hx: Unknown