Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(713 bytes)
E09169 12 500 5000
E09169.mat 16x1+24 1000.0(0)/mV 16 0 87 -9799 0 I
E09169.mat 16x1+24 1000.0(0)/mV 16 0 97 30785 0 II
E09169.mat 16x1+24 1000.0(0)/mV 16 0 9 -24601 0 III
E09169.mat 16x1+24 1000.0(0)/mV 16 0 -92 22200 0 aVR
E09169.mat 16x1+24 1000.0(0)/mV 16 0 39 7819 0 aVL
E09169.mat 16x1+24 1000.0(0)/mV 16 0 53 -29598 0 aVF
E09169.mat 16x1+24 1000.0(0)/mV 16 0 -126 -29301 0 V1
E09169.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29900 0 V2
E09169.mat 16x1+24 1000.0(0)/mV 16 0 -68 18933 0 V3
E09169.mat 16x1+24 1000.0(0)/mV 16 0 117 -2561 0 V4
E09169.mat 16x1+24 1000.0(0)/mV 16 0 136 21101 0 V5
E09169.mat 16x1+24 1000.0(0)/mV 16 0 146 -28233 0 V6
# Age: 88
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown