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

File: <base>/training/georgia/g6/E05804.hea (708 bytes) 
E05804 12 500 5000
E05804.mat 16x1+24 1000.0(0)/mV 16 0 107 3434 0 I
E05804.mat 16x1+24 1000.0(0)/mV 16 0 146 26282 0 II
E05804.mat 16x1+24 1000.0(0)/mV 16 0 39 22924 0 III
E05804.mat 16x1+24 1000.0(0)/mV 16 0 -126 -14890 0 aVR
E05804.mat 16x1+24 1000.0(0)/mV 16 0 34 22876 0 aVL
E05804.mat 16x1+24 1000.0(0)/mV 16 0 92 -8117 0 aVF
E05804.mat 16x1+24 1000.0(0)/mV 16 0 253 28290 0 V1
E05804.mat 16x1+24 1000.0(0)/mV 16 0 341 -6107 0 V2
E05804.mat 16x1+24 1000.0(0)/mV 16 0 283 -3264 0 V3
E05804.mat 16x1+24 1000.0(0)/mV 16 0 204 -731 0 V4
E05804.mat 16x1+24 1000.0(0)/mV 16 0 165 6559 0 V5
E05804.mat 16x1+24 1000.0(0)/mV 16 0 97 -29752 0 V6
# Age: 47
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown