Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(726 bytes)
E01606 12 500 5000
E01606.mat 16x1+24 1000.0(0)/mV 16 0 19 20315 0 I
E01606.mat 16x1+24 1000.0(0)/mV 16 0 -224 13878 0 II
E01606.mat 16x1+24 1000.0(0)/mV 16 0 -244 -5848 0 III
E01606.mat 16x1+24 1000.0(0)/mV 16 0 102 -17011 0 aVR
E01606.mat 16x1+24 1000.0(0)/mV 16 0 131 12659 0 aVL
E01606.mat 16x1+24 1000.0(0)/mV 16 0 -234 3975 0 aVF
E01606.mat 16x1+24 1000.0(0)/mV 16 0 39 28575 0 V1
E01606.mat 16x1+24 1000.0(0)/mV 16 0 97 -25843 0 V2
E01606.mat 16x1+24 1000.0(0)/mV 16 0 156 -17777 0 V3
E01606.mat 16x1+24 1000.0(0)/mV 16 0 165 -16716 0 V4
E01606.mat 16x1+24 1000.0(0)/mV 16 0 175 -17456 0 V5
E01606.mat 16x1+24 1000.0(0)/mV 16 0 175 -5949 0 V6
# Age: 26
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown