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In Table 2, red letters are newly selected feature quantities when combining the
number of electrodes. The electrode sites obtained by LARS are shown in the figure
below.
Figure 5. Electrode sites including a feature quantity selected by using LARS
The results showed that the electrode site including the feature quantity with a high
contribution to the D was particularly frequent in the right frontal lobe. Sharma and
colleagues detected depression and suggested that cerebral right hemisphere alone is
sufficient for detection of depression [18]. Henriques and colleagues found that
depression patients have abnormality in the frontal lobe and temporal lobe compared
with healthy subjects [19]. Davidson and colleagues discovered deactivation of left
frontal lobe and activation of alpha waves in depressed patients, and in particular
activation of the right frontal lobe [20]. Blackhart and colleagues investigated the fact
that people showing activation of electroencephalograms in the right frontal lobe
deteriorated symptoms such as depression and anxiety after one year [21]. The result that
the electrode site of the right frontal lobe of this study is important is considered to be
similar results as compared with the above studies.
3. Evaluation
In this study, we investigated combinations of electrode sites with high contribution to
emotional recognition of depression. To evaluate the obtained results, we investigated
the accuracy of emotional recognition of depression when changing the number of
electrodes by multiple regression analysis. At that time, 10-fold cross validation was
performed. Fifteen feature values of average, median, variance, maximum value,
minimum value in the γ, β and α wave frequency bands were used as the feature
quantities used for multiple regression analysis. In addition, when performing multiple
regression analysis, the change in the number of electrodes was made based on the
electrode obtained as a result of LARS. The correspondence table between the change in
the number of electrodes and the electrode site is shown below.
Y.Tsurugasaki etal. / IdentificationofEffectiveEEGElectrodes
forDepressionSensing158
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände