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

File: <base>/training/georgia/g10/E09562.hea (728 bytes) 
E09562 12 500 5000
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -151 -23957 0 I
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -87 -28420 0 II
E09562.mat 16x1+24 1000.0(0)/mV 16 0 63 -4556 0 III
E09562.mat 16x1+24 1000.0(0)/mV 16 0 119 -6680 0 aVR
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -107 -9722 0 aVL
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -12 16253 0 aVF
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -297 -14287 0 V1
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -14 32363 0 V2
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -141 -16812 0 V3
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -131 -24077 0 V4
E09562.mat 16x1+24 1000.0(0)/mV 16 0 -19 15296 0 V5
E09562.mat 16x1+24 1000.0(0)/mV 16 0 19 251 0 V6
# Age: 74
# Sex: Male
# Dx: 698252002,164931005
# Rx: Unknown
# Hx: Unknown