التفاصيل البيبلوغرافية
| العنوان: |
Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach |
| المؤلفون: |
Masakazu Higuchi, Mitsuteru Nakamura, Shuji Shinohara, Yasuhiro Omiya, Takeshi Takano, Daisuke Mizuguchi, Noriaki Sonota, Hiroyuki Toda, Taku Saito, Mirai So, Eiji Takayama, Hiroo Terashi, Shunji Mitsuyoshi, Shinichi Tokuno |
| المصدر: |
International Journal of Environmental Research and Public Health; Volume 19; Issue 18; Pages: 11397 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2022 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
voice analysis, major depressive disorder, logistic regression |
| جغرافية الموضوع: |
agris |
| الوصف: |
In general, it is common knowledge that people’s feelings are reflected in their voice and facial expressions. This research work focuses on developing techniques for diagnosing depression based on acoustic properties of the voice. In this study, we developed a composite index of vocal acoustic properties that can be used for depression detection. Voice recordings were collected from patients undergoing outpatient treatment for major depressive disorder at a hospital or clinic following a physician’s diagnosis. Numerous features were extracted from the collected audio data using openSMILE software. Furthermore, qualitatively similar features were combined using principal component analysis. The resulting components were incorporated as parameters in a logistic regression based classifier, which achieved a diagnostic accuracy of ~90% on the training set and ~80% on the test set. Lastly, the proposed metric could serve as a new measure for evaluation of major depressive disorder. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Public Health Statistics and Risk Assessment; https://dx.doi.org/10.3390/ijerph191811397 |
| DOI: |
10.3390/ijerph191811397 |
| الاتاحة: |
https://doi.org/10.3390/ijerph191811397 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.F6F03318 |
| قاعدة البيانات: |
BASE |