Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g10/E09588.hea (746 bytes)
E09588 12 500 5000
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -73 -6714 0 I
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -239 -27716 0 II
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -165 -20070 0 III
E09588.mat 16x1+24 1000.0(0)/mV 16 0 156 -15510 0 aVR
E09588.mat 16x1+24 1000.0(0)/mV 16 0 46 -27046 0 aVL
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -202 -23958 0 aVF
E09588.mat 16x1+24 1000.0(0)/mV 16 0 48 -4823 0 V1
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -58 28055 0 V2
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -126 -18709 0 V3
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -146 -10710 0 V4
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -161 -29089 0 V5
E09588.mat 16x1+24 1000.0(0)/mV 16 0 -146 -31342 0 V6
# Age: 50
# Sex: Male
# Dx: 428417006,164921003,164931005
# Rx: Unknown
# Hx: Unknown