Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(710 bytes)
E01637 12 500 5000
E01637.mat 16x1+24 1000.0(0)/mV 16 0 -107 31914 0 I
E01637.mat 16x1+24 1000.0(0)/mV 16 0 -58 29262 0 II
E01637.mat 16x1+24 1000.0(0)/mV 16 0 48 -2572 0 III
E01637.mat 16x1+24 1000.0(0)/mV 16 0 82 2096 0 aVR
E01637.mat 16x1+24 1000.0(0)/mV 16 0 -78 -15420 0 aVL
E01637.mat 16x1+24 1000.0(0)/mV 16 0 -4 13193 0 aVF
E01637.mat 16x1+24 1000.0(0)/mV 16 0 312 -22858 0 V1
E01637.mat 16x1+24 1000.0(0)/mV 16 0 458 19350 0 V2
E01637.mat 16x1+24 1000.0(0)/mV 16 0 292 10292 0 V3
E01637.mat 16x1+24 1000.0(0)/mV 16 0 204 -24282 0 V4
E01637.mat 16x1+24 1000.0(0)/mV 16 0 87 16836 0 V5
E01637.mat 16x1+24 1000.0(0)/mV 16 0 58 27093 0 V6
# Age: 69
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown