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

File: <base>/training/georgia/g10/E09022.hea (716 bytes) 
E09022 12 500 5000
E09022.mat 16x1+24 1000.0(0)/mV 16 0 9 8541 0 I
E09022.mat 16x1+24 1000.0(0)/mV 16 0 68 -27281 0 II
E09022.mat 16x1+24 1000.0(0)/mV 16 0 58 30058 0 III
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -39 9266 0 aVR
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -24 21520 0 aVL
E09022.mat 16x1+24 1000.0(0)/mV 16 0 63 -31379 0 aVF
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -9 24150 0 V1
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -9 24242 0 V2
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -97 -3891 0 V3
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -156 -30730 0 V4
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -126 -9822 0 V5
E09022.mat 16x1+24 1000.0(0)/mV 16 0 -107 -9011 0 V6
# Age: 77
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown