Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(737 bytes)
E00541 12 500 5000
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28648 0 I
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4626 0 II
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -19 23712 0 III
E00541.mat 16x1+24 1000.0(0)/mV 16 0 19 16453 0 aVR
E00541.mat 16x1+24 1000.0(0)/mV 16 0 4 -25921 0 aVL
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -24 9359 0 aVF
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11750 0 V1
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15664 0 V2
E00541.mat 16x1+24 1000.0(0)/mV 16 0 19 -14175 0 V3
E00541.mat 16x1+24 1000.0(0)/mV 16 0 19 -18137 0 V4
E00541.mat 16x1+24 1000.0(0)/mV 16 0 9 -30888 0 V5
E00541.mat 16x1+24 1000.0(0)/mV 16 0 -29 40 0 V6
# Age: 80
# Sex: Male
# Dx: 426177001,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown