Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(749 bytes)
E00375 12 500 5000
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -63 15611 0 I
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -234 -18572 0 II
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -170 31344 0 III
E00375.mat 16x1+24 1000.0(0)/mV 16 0 148 1465 0 aVR
E00375.mat 16x1+24 1000.0(0)/mV 16 0 53 -7874 0 aVL
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -202 6660 0 aVF
E00375.mat 16x1+24 1000.0(0)/mV 16 0 107 -8481 0 V1
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -43 -2751 0 V2
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -165 -30959 0 V3
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -170 -29661 0 V4
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -126 8201 0 V5
E00375.mat 16x1+24 1000.0(0)/mV 16 0 -219 -29062 0 V6
# Age: 52
# Sex: Male
# Dx: 270492004,427393009,164931005,164873001
# Rx: Unknown
# Hx: Unknown