Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(745 bytes)
E01762 12 500 5000
E01762.mat 16x1+24 1000.0(0)/mV 16 0 87 4371 0 I
E01762.mat 16x1+24 1000.0(0)/mV 16 0 263 -3468 0 II
E01762.mat 16x1+24 1000.0(0)/mV 16 0 175 -7875 0 III
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -175 -536 0 aVR
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -43 6563 0 aVL
E01762.mat 16x1+24 1000.0(0)/mV 16 0 219 -5943 0 aVF
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -214 -25457 0 V1
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -556 8290 0 V2
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -732 19391 0 V3
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -546 -23684 0 V4
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -283 -6094 0 V5
E01762.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4982 0 V6
# Age: 71
# Sex: Female
# Dx: 270492004,39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown