Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(772 bytes)
E01570 12 500 5000
E01570.mat 16x1+24 1000.0(0)/mV 16 0 468 -27584 0 I
E01570.mat 16x1+24 1000.0(0)/mV 16 0 400 29953 0 II
E01570.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8516 0 III
E01570.mat 16x1+24 1000.0(0)/mV 16 0 -434 31521 0 aVR
E01570.mat 16x1+24 1000.0(0)/mV 16 0 268 -9560 0 aVL
E01570.mat 16x1+24 1000.0(0)/mV 16 0 165 -22073 0 aVF
E01570.mat 16x1+24 1000.0(0)/mV 16 0 -1005 26752 0 V1
E01570.mat 16x1+24 1000.0(0)/mV 16 0 -985 -29061 0 V2
E01570.mat 16x1+24 1000.0(0)/mV 16 0 -507 21240 0 V3
E01570.mat 16x1+24 1000.0(0)/mV 16 0 78 -10960 0 V4
E01570.mat 16x1+24 1000.0(0)/mV 16 0 380 -32429 0 V5
E01570.mat 16x1+24 1000.0(0)/mV 16 0 380 -19051 0 V6
# Age: 82
# Sex: Male
# Dx: 270492004,426177001,425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown