Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E06244 12 500 5000
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26304 0 I
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21271 0 II
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -19 5038 0 III
E06244.mat 16x1+24 1000.0(0)/mV 16 0 39 23591 0 aVR
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -4 -15709 0 aVL
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -34 -8066 0 aVF
E06244.mat 16x1+24 1000.0(0)/mV 16 0 273 -21335 0 V1
E06244.mat 16x1+24 1000.0(0)/mV 16 0 19 31764 0 V2
E06244.mat 16x1+24 1000.0(0)/mV 16 0 9 27709 0 V3
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7552 0 V4
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -48 10161 0 V5
E06244.mat 16x1+24 1000.0(0)/mV 16 0 -78 -19268 0 V6
# Age: 85
# Sex: Male
# Dx: 428750005,251146004,59931005
# Rx: Unknown
# Hx: Unknown