Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(747 bytes)
E05971 12 500 5000
E05971.mat 16x1+24 1000.0(0)/mV 16 0 43 26468 0 I
E05971.mat 16x1+24 1000.0(0)/mV 16 0 131 15166 0 II
E05971.mat 16x1+24 1000.0(0)/mV 16 0 87 -11492 0 III
E05971.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20588 0 aVR
E05971.mat 16x1+24 1000.0(0)/mV 16 0 -21 19094 0 aVL
E05971.mat 16x1+24 1000.0(0)/mV 16 0 109 1980 0 aVF
E05971.mat 16x1+24 1000.0(0)/mV 16 0 -48 18260 0 V1
E05971.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9826 0 V2
E05971.mat 16x1+24 1000.0(0)/mV 16 0 9 -17678 0 V3
E05971.mat 16x1+24 1000.0(0)/mV 16 0 19 32600 0 V4
E05971.mat 16x1+24 1000.0(0)/mV 16 0 9 17383 0 V5
E05971.mat 16x1+24 1000.0(0)/mV 16 0 -14 -12630 0 V6
# Age: 64
# Sex: Male
# Dx: 698252002,39732003,427393009,425623009,164917005
# Rx: Unknown
# Hx: Unknown