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

File: <base>/training/georgia/g9/E08904.hea (713 bytes) 
E08904 12 500 5000
E08904.mat 16x1+24 1000.0(0)/mV 16 0 156 -22349 0 I
E08904.mat 16x1+24 1000.0(0)/mV 16 0 97 -3290 0 II
E08904.mat 16x1+24 1000.0(0)/mV 16 0 -58 18873 0 III
E08904.mat 16x1+24 1000.0(0)/mV 16 0 -126 -19870 0 aVR
E08904.mat 16x1+24 1000.0(0)/mV 16 0 107 12196 0 aVL
E08904.mat 16x1+24 1000.0(0)/mV 16 0 19 7737 0 aVF
E08904.mat 16x1+24 1000.0(0)/mV 16 0 244 -12951 0 V1
E08904.mat 16x1+24 1000.0(0)/mV 16 0 1034 7729 0 V2
E08904.mat 16x1+24 1000.0(0)/mV 16 0 936 15439 0 V3
E08904.mat 16x1+24 1000.0(0)/mV 16 0 361 -26094 0 V4
E08904.mat 16x1+24 1000.0(0)/mV 16 0 29 30681 0 V5
E08904.mat 16x1+24 1000.0(0)/mV 16 0 -78 -3642 0 V6
# Age: 57
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown