Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
E01749 12 500 5000
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -39 24173 0 I
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -78 -483 0 II
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24362 0 III
E01749.mat 16x1+24 1000.0(0)/mV 16 0 58 -11986 0 aVR
E01749.mat 16x1+24 1000.0(0)/mV 16 0 0 -8563 0 aVL
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -58 20265 0 aVF
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27712 0 V1
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -48 13375 0 V2
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -107 -31173 0 V3
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14812 0 V4
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -48 16114 0 V5
E01749.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14535 0 V6
# Age: 62
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown