Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E00901 12 500 5000
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -234 -933 0 I
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -19 31490 0 II
E00901.mat 16x1+24 1000.0(0)/mV 16 0 214 31797 0 III
E00901.mat 16x1+24 1000.0(0)/mV 16 0 126 -15503 0 aVR
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -224 -16944 0 aVL
E00901.mat 16x1+24 1000.0(0)/mV 16 0 97 31306 0 aVF
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3418 0 V1
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -97 -9180 0 V2
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -39 17444 0 V3
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15566 0 V4
E00901.mat 16x1+24 1000.0(0)/mV 16 0 29 -19738 0 V5
E00901.mat 16x1+24 1000.0(0)/mV 16 0 -58 -915 0 V6
# Age: 45
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown