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

File: <base>/training/georgia/g10/E09262.hea (708 bytes) 
E09262 12 500 5000
E09262.mat 16x1+24 1000.0(0)/mV 16 0 -19 2194 0 I
E09262.mat 16x1+24 1000.0(0)/mV 16 0 39 22328 0 II
E09262.mat 16x1+24 1000.0(0)/mV 16 0 58 20352 0 III
E09262.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12361 0 aVR
E09262.mat 16x1+24 1000.0(0)/mV 16 0 -39 23894 0 aVL
E09262.mat 16x1+24 1000.0(0)/mV 16 0 48 -11229 0 aVF
E09262.mat 16x1+24 1000.0(0)/mV 16 0 19 21274 0 V1
E09262.mat 16x1+24 1000.0(0)/mV 16 0 302 -8639 0 V2
E09262.mat 16x1+24 1000.0(0)/mV 16 0 273 25988 0 V3
E09262.mat 16x1+24 1000.0(0)/mV 16 0 146 -18289 0 V4
E09262.mat 16x1+24 1000.0(0)/mV 16 0 48 -19491 0 V5
E09262.mat 16x1+24 1000.0(0)/mV 16 0 9 -21229 0 V6
# Age: 80
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown