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

File: <base>/training/georgia/g6/E05781.hea (730 bytes) 
E05781 12 500 5000
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -87 -24105 0 I
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -97 22760 0 II
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19625 0 III
E05781.mat 16x1+24 1000.0(0)/mV 16 0 92 -32168 0 aVR
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2203 0 aVL
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -53 -31446 0 aVF
E05781.mat 16x1+24 1000.0(0)/mV 16 0 39 10921 0 V1
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -39 19633 0 V2
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -136 -32114 0 V3
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -117 -27012 0 V4
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -117 -28919 0 V5
E05781.mat 16x1+24 1000.0(0)/mV 16 0 -97 -22338 0 V6
# Age: 64
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown