Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E08739 12 500 5000
E08739.mat 16x1+24 1000.0(0)/mV 16 0 39 5765 0 I
E08739.mat 16x1+24 1000.0(0)/mV 16 0 -146 -2843 0 II
E08739.mat 16x1+24 1000.0(0)/mV 16 0 -185 -8037 0 III
E08739.mat 16x1+24 1000.0(0)/mV 16 0 53 -1170 0 aVR
E08739.mat 16x1+24 1000.0(0)/mV 16 0 112 6962 0 aVL
E08739.mat 16x1+24 1000.0(0)/mV 16 0 -165 -5442 0 aVF
E08739.mat 16x1+24 1000.0(0)/mV 16 0 185 24023 0 V1
E08739.mat 16x1+24 1000.0(0)/mV 16 0 458 -28763 0 V2
E08739.mat 16x1+24 1000.0(0)/mV 16 0 351 21768 0 V3
E08739.mat 16x1+24 1000.0(0)/mV 16 0 351 -12988 0 V4
E08739.mat 16x1+24 1000.0(0)/mV 16 0 224 -14899 0 V5
E08739.mat 16x1+24 1000.0(0)/mV 16 0 146 -14720 0 V6
# Age: 66
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown