Feature analysis of electroencephalography in patients with depression

Risa Nakamura, Yasue Mitsukura

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

Recently many people are suffering from mental illnesses like depression worldwide. Although they are ambiguous and have difficulties in grasping the states of patients, in fact they lower their quality of life. The total loss of economics, life and quality of life by depression is big enough that it cannot be ignored. It is important for the patients to recover from depression and also for the healthy controls not to become depression. So correct diagnosis and treatment are essential for the people. In actual clinical field, incorrectness of diagnosis is now regarded as issue. To construct an objective way of evaluation on depression, we set a goal of extraction of features in depressive electroencephalography (EEG). Unlike other studies in this field, this study has mainly two points of unique. Firstly, this feature analysis is using signal from just one channel located in frontal lobe (Fp1). Secondly, the acquisition of EEG was conducted during actual clinical inquiry or under similar situation. After the experiment, EEG of both depression patients and healthy controls were compared through two-sample t-test.

本文言語English
ホスト出版物のタイトル2018 IEEE Life Sciences Conference, LSC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ53-56
ページ数4
ISBN(電子版)9781538667095
DOI
出版ステータスPublished - 2018 12 10
イベント2018 IEEE Life Sciences Conference, LSC 2018 - Montreal, Canada
継続期間: 2018 10 282018 10 30

出版物シリーズ

名前2018 IEEE Life Sciences Conference, LSC 2018

Other

Other2018 IEEE Life Sciences Conference, LSC 2018
国/地域Canada
CityMontreal
Period18/10/2818/10/30

ASJC Scopus subject areas

  • 信号処理
  • 医学(その他)
  • 健康情報学
  • 器械工学

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