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

File: <base>/training/georgia/g6/E05823.hea (746 bytes) 
E05823 12 500 5000
E05823.mat 16x1+24 1000.0(0)/mV 16 0 29 14506 0 I
E05823.mat 16x1+24 1000.0(0)/mV 16 0 165 -9196 0 II
E05823.mat 16x1+24 1000.0(0)/mV 16 0 136 -23227 0 III
E05823.mat 16x1+24 1000.0(0)/mV 16 0 -97 30163 0 aVR
E05823.mat 16x1+24 1000.0(0)/mV 16 0 -53 -13810 0 aVL
E05823.mat 16x1+24 1000.0(0)/mV 16 0 151 -16072 0 aVF
E05823.mat 16x1+24 1000.0(0)/mV 16 0 -156 -30795 0 V1
E05823.mat 16x1+24 1000.0(0)/mV 16 0 -331 -16084 0 V2
E05823.mat 16x1+24 1000.0(0)/mV 16 0 48 23571 0 V3
E05823.mat 16x1+24 1000.0(0)/mV 16 0 58 23345 0 V4
E05823.mat 16x1+24 1000.0(0)/mV 16 0 68 -22706 0 V5
E05823.mat 16x1+24 1000.0(0)/mV 16 0 234 6238 0 V6
# Age: 69
# Sex: Female
# Dx: 713426002,428750005,164889003,39732003
# Rx: Unknown
# Hx: Unknown