Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E09075 12 500 5000
E09075.mat 16x1+24 1000.0(0)/mV 16 0 48 19291 0 I
E09075.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3206 0 II
E09075.mat 16x1+24 1000.0(0)/mV 16 0 -78 -22286 0 III
E09075.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8157 0 aVR
E09075.mat 16x1+24 1000.0(0)/mV 16 0 63 21070 0 aVL
E09075.mat 16x1+24 1000.0(0)/mV 16 0 -53 -12650 0 aVF
E09075.mat 16x1+24 1000.0(0)/mV 16 0 126 13968 0 V1
E09075.mat 16x1+24 1000.0(0)/mV 16 0 68 14335 0 V2
E09075.mat 16x1+24 1000.0(0)/mV 16 0 97 13509 0 V3
E09075.mat 16x1+24 1000.0(0)/mV 16 0 48 32226 0 V4
E09075.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10859 0 V5
E09075.mat 16x1+24 1000.0(0)/mV 16 0 58 -22688 0 V6
# Age: 63
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown