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

File: <base>/training/georgia/g5/E04862.hea (738 bytes) 
E04862 12 500 5000
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -97 12725 0 I
E04862.mat 16x1+24 1000.0(0)/mV 16 0 165 -9734 0 II
E04862.mat 16x1+24 1000.0(0)/mV 16 0 263 -21222 0 III
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -34 -1488 0 aVR
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -180 17773 0 aVL
E04862.mat 16x1+24 1000.0(0)/mV 16 0 214 -15229 0 aVF
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -156 -15816 0 V1
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -312 -28719 0 V2
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -165 -26669 0 V3
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -107 30746 0 V4
E04862.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25209 0 V5
E04862.mat 16x1+24 1000.0(0)/mV 16 0 9 28470 0 V6
# Age: 61
# Sex: Female
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown