Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(741 bytes)
E06596 12 500 5000
E06596.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3645 0 I
E06596.mat 16x1+24 1000.0(0)/mV 16 0 78 -26851 0 II
E06596.mat 16x1+24 1000.0(0)/mV 16 0 97 -22964 0 III
E06596.mat 16x1+24 1000.0(0)/mV 16 0 -29 15423 0 aVR
E06596.mat 16x1+24 1000.0(0)/mV 16 0 -58 10097 0 aVL
E06596.mat 16x1+24 1000.0(0)/mV 16 0 87 -24875 0 aVF
E06596.mat 16x1+24 1000.0(0)/mV 16 0 29 28415 0 V1
E06596.mat 16x1+24 1000.0(0)/mV 16 0 107 -24587 0 V2
E06596.mat 16x1+24 1000.0(0)/mV 16 0 253 -26030 0 V3
E06596.mat 16x1+24 1000.0(0)/mV 16 0 224 -2582 0 V4
E06596.mat 16x1+24 1000.0(0)/mV 16 0 234 10481 0 V5
E06596.mat 16x1+24 1000.0(0)/mV 16 0 117 -3358 0 V6
# Age: 62
# Sex: Male
# Dx: 39732003,427084000,164934002,17338001
# Rx: Unknown
# Hx: Unknown