Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(708 bytes)
E06178 12 500 5000
E06178.mat 16x1+24 1000.0(0)/mV 16 0 19 -12205 0 I
E06178.mat 16x1+24 1000.0(0)/mV 16 0 48 -31752 0 II
E06178.mat 16x1+24 1000.0(0)/mV 16 0 29 -20147 0 III
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -34 -10765 0 aVR
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -4 4714 0 aVL
E06178.mat 16x1+24 1000.0(0)/mV 16 0 39 7101 0 aVF
E06178.mat 16x1+24 1000.0(0)/mV 16 0 0 -6158 0 V1
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -170 -13441 0 V2
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -87 -29614 0 V3
E06178.mat 16x1+24 1000.0(0)/mV 16 0 19 -4177 0 V4
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -39 -17451 0 V5
E06178.mat 16x1+24 1000.0(0)/mV 16 0 -82 1700 0 V6
# Age: 63
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown