Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E06506 12 500 5000
E06506.mat 16x1+24 1000.0(0)/mV 16 0 9 4627 0 I
E06506.mat 16x1+24 1000.0(0)/mV 16 0 39 251 0 II
E06506.mat 16x1+24 1000.0(0)/mV 16 0 29 -3851 0 III
E06506.mat 16x1+24 1000.0(0)/mV 16 0 -24 -2482 0 aVR
E06506.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28880 0 aVL
E06506.mat 16x1+24 1000.0(0)/mV 16 0 34 31101 0 aVF
E06506.mat 16x1+24 1000.0(0)/mV 16 0 9 -22618 0 V1
E06506.mat 16x1+24 1000.0(0)/mV 16 0 273 31534 0 V2
E06506.mat 16x1+24 1000.0(0)/mV 16 0 126 -28028 0 V3
E06506.mat 16x1+24 1000.0(0)/mV 16 0 146 32092 0 V4
E06506.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18789 0 V5
E06506.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14593 0 V6
# Age: 74
# Sex: Female
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown