Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(703 bytes)
A0901 12 500 7000
A0901.mat 16x1+24 1000.0(0)/mV 16 0 -76 -3140 0 I
A0901.mat 16x1+24 1000.0(0)/mV 16 0 -30 -869 0 II
A0901.mat 16x1+24 1000.0(0)/mV 16 0 46 2271 0 III
A0901.mat 16x1+24 1000.0(0)/mV 16 0 52 -2014 0 aVR
A0901.mat 16x1+24 1000.0(0)/mV 16 0 -60 1094 0 aVL
A0901.mat 16x1+24 1000.0(0)/mV 16 0 8 1036 0 aVF
A0901.mat 16x1+24 1000.0(0)/mV 16 0 33 -1316 0 V1
A0901.mat 16x1+24 1000.0(0)/mV 16 0 103 -621 0 V2
A0901.mat 16x1+24 1000.0(0)/mV 16 0 263 -2275 0 V3
A0901.mat 16x1+24 1000.0(0)/mV 16 0 27 -2907 0 V4
A0901.mat 16x1+24 1000.0(0)/mV 16 0 75 -1537 0 V5
A0901.mat 16x1+24 1000.0(0)/mV 16 0 153 -2512 0 V6
# Age: 55
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown