Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(750 bytes)
E05282 12 500 5000
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -107 26723 0 I
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -97 25710 0 II
E05282.mat 16x1+24 1000.0(0)/mV 16 0 9 -1961 0 III
E05282.mat 16x1+24 1000.0(0)/mV 16 0 102 -26415 0 aVR
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18393 0 aVL
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -43 -19497 0 aVF
E05282.mat 16x1+24 1000.0(0)/mV 16 0 97 12193 0 V1
E05282.mat 16x1+24 1000.0(0)/mV 16 0 48 15428 0 V2
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2094 0 V3
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -58 -16375 0 V4
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -68 -24294 0 V5
E05282.mat 16x1+24 1000.0(0)/mV 16 0 -68 -27800 0 V6
# Age: 58
# Sex: Male
# Dx: 428750005,67741000119109,111975006,164930006
# Rx: Unknown
# Hx: Unknown