Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(702 bytes)
E01232 12 500 5000
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -39 773 0 I
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -97 19676 0 II
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -58 18643 0 III
E01232.mat 16x1+24 1000.0(0)/mV 16 0 68 -10209 0 aVR
E01232.mat 16x1+24 1000.0(0)/mV 16 0 9 24163 0 aVL
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13082 0 aVF
E01232.mat 16x1+24 1000.0(0)/mV 16 0 68 -30622 0 V1
E01232.mat 16x1+24 1000.0(0)/mV 16 0 39 2332 0 V2
E01232.mat 16x1+24 1000.0(0)/mV 16 0 9 9230 0 V3
E01232.mat 16x1+24 1000.0(0)/mV 16 0 19 5047 0 V4
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -68 1765 0 V5
E01232.mat 16x1+24 1000.0(0)/mV 16 0 -78 3924 0 V6
# Age: 36
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown