Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(754 bytes)
E05306 12 500 5000
E05306.mat 16x1+24 1000.0(0)/mV 16 0 68 -15071 0 I
E05306.mat 16x1+24 1000.0(0)/mV 16 0 9 28949 0 II
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21968 0 III
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -39 25872 0 aVR
E05306.mat 16x1+24 1000.0(0)/mV 16 0 63 3439 0 aVL
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -24 -28967 0 aVF
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6248 0 V1
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -48 22025 0 V2
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14122 0 V3
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -68 32656 0 V4
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -156 -32622 0 V5
E05306.mat 16x1+24 1000.0(0)/mV 16 0 -156 -25258 0 V6
# Age: 79
# Sex: Female
# Dx: 428750005,164889003,39732003,164930006,164873001
# Rx: Unknown
# Hx: Unknown