Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E02262 12 500 5000
E02262.mat 16x1+24 1000.0(0)/mV 16 0 68 4327 0 I
E02262.mat 16x1+24 1000.0(0)/mV 16 0 87 9115 0 II
E02262.mat 16x1+24 1000.0(0)/mV 16 0 19 5316 0 III
E02262.mat 16x1+24 1000.0(0)/mV 16 0 -78 -6523 0 aVR
E02262.mat 16x1+24 1000.0(0)/mV 16 0 24 -358 0 aVL
E02262.mat 16x1+24 1000.0(0)/mV 16 0 53 7265 0 aVF
E02262.mat 16x1+24 1000.0(0)/mV 16 0 87 4911 0 V1
E02262.mat 16x1+24 1000.0(0)/mV 16 0 234 6280 0 V2
E02262.mat 16x1+24 1000.0(0)/mV 16 0 351 18283 0 V3
E02262.mat 16x1+24 1000.0(0)/mV 16 0 312 29092 0 V4
E02262.mat 16x1+24 1000.0(0)/mV 16 0 253 -29627 0 V5
E02262.mat 16x1+24 1000.0(0)/mV 16 0 126 -682 0 V6
# Age: 73
# Sex: Female
# Dx: 425419005,164934002
# Rx: Unknown
# Hx: Unknown