Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E01949 12 500 5000
E01949.mat 16x1+24 1000.0(0)/mV 16 0 -19 20962 0 I
E01949.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7414 0 II
E01949.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28574 0 III
E01949.mat 16x1+24 1000.0(0)/mV 16 0 39 -6768 0 aVR
E01949.mat 16x1+24 1000.0(0)/mV 16 0 9 -7874 0 aVL
E01949.mat 16x1+24 1000.0(0)/mV 16 0 -48 14778 0 aVF
E01949.mat 16x1+24 1000.0(0)/mV 16 0 97 22849 0 V1
E01949.mat 16x1+24 1000.0(0)/mV 16 0 58 -19480 0 V2
E01949.mat 16x1+24 1000.0(0)/mV 16 0 48 27202 0 V3
E01949.mat 16x1+24 1000.0(0)/mV 16 0 107 -13727 0 V4
E01949.mat 16x1+24 1000.0(0)/mV 16 0 -9 31742 0 V5
E01949.mat 16x1+24 1000.0(0)/mV 16 0 9 -17121 0 V6
# Age: 65
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown