Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(716 bytes)
E00985 12 500 5000
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -117 -13483 0 I
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -107 19901 0 II
E00985.mat 16x1+24 1000.0(0)/mV 16 0 9 -32272 0 III
E00985.mat 16x1+24 1000.0(0)/mV 16 0 112 -3544 0 aVR
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -63 -23291 0 aVL
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -48 26152 0 aVF
E00985.mat 16x1+24 1000.0(0)/mV 16 0 9 21875 0 V1
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9482 0 V2
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11409 0 V3
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29096 0 V4
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11976 0 V5
E00985.mat 16x1+24 1000.0(0)/mV 16 0 -68 24625 0 V6
# Age: 33
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown