Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(740 bytes)
E00504 12 500 5000
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -73 20894 0 I
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2668 0 II
E00504.mat 16x1+24 1000.0(0)/mV 16 0 39 -23864 0 III
E00504.mat 16x1+24 1000.0(0)/mV 16 0 53 -9337 0 aVR
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -56 22801 0 aVL
E00504.mat 16x1+24 1000.0(0)/mV 16 0 2 -13108 0 aVF
E00504.mat 16x1+24 1000.0(0)/mV 16 0 180 995 0 V1
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31427 0 V2
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -34 1445 0 V3
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -43 16047 0 V4
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -53 18353 0 V5
E00504.mat 16x1+24 1000.0(0)/mV 16 0 -58 26993 0 V6
# Age: 63
# Sex: Female
# Dx: 164873001,164889003,425419005,164934002
# Rx: Unknown
# Hx: Unknown