Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(735 bytes)
E00662 12 500 5000
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18419 0 I
E00662.mat 16x1+24 1000.0(0)/mV 16 0 0 -26980 0 II
E00662.mat 16x1+24 1000.0(0)/mV 16 0 19 -9413 0 III
E00662.mat 16x1+24 1000.0(0)/mV 16 0 9 22583 0 aVR
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4457 0 aVL
E00662.mat 16x1+24 1000.0(0)/mV 16 0 9 -17921 0 aVF
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -126 -5771 0 V1
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -126 -10655 0 V2
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24662 0 V3
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -97 -29552 0 V4
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -126 31289 0 V5
E00662.mat 16x1+24 1000.0(0)/mV 16 0 -107 30145 0 V6
# Age: 54
# Sex: Male
# Dx: 164889003,429622005,164873001
# Rx: Unknown
# Hx: Unknown