Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(729 bytes)
E00636 12 500 5000
E00636.mat 16x1+24 1000.0(0)/mV 16 0 19 -23894 0 I
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -73 -3578 0 II
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -92 20913 0 III
E00636.mat 16x1+24 1000.0(0)/mV 16 0 26 13706 0 aVR
E00636.mat 16x1+24 1000.0(0)/mV 16 0 56 -22510 0 aVL
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -82 8627 0 aVF
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -29 30476 0 V1
E00636.mat 16x1+24 1000.0(0)/mV 16 0 82 -16739 0 V2
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -73 15069 0 V3
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -4 -3677 0 V4
E00636.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4171 0 V5
E00636.mat 16x1+24 1000.0(0)/mV 16 0 19 25639 0 V6
# Age: 88
# Sex: Female
# Dx: 251146004,164890007,233917008
# Rx: Unknown
# Hx: Unknown