@inproceedings{b47b5ed760ca4545b762809ec26d24e2,
title = "Study on indicators for depression in the elderly using voice and attribute information",
abstract = "As the age of the human population increases worldwide, depression in elderly patients has become a problem in medical care. In this study, we analyzed voice-emotion component data, attribute data, and Beck Depression Inventory (BDI) scores by multivariate analysis, particularly in the elderly, and proposed evaluation indicators for estimating the state of depression of elderly patients. We divided the data into two groups according to BDI scores: a state of depression and the absence of this state. The labels distinguishing the two groups were dependent variables, while the voice-emotion component and attribute information were set as independent variables, and we performed logistic regression analysis on the data. We obtained a prediction model with significantly sufficient fitness. In the receiver operating characteristic curve for the proposed depression evaluation indicator, a sorting performance with an area under the curve of approximately 0.93 was obtained.",
keywords = "Attribute information, Beck depression inventory, Depression, Emotion recognition, Voice",
author = "Masakazu Higuchi and Shuji Shinohara and Mitsuteru Nakamura and Yasuhiro Omiya and Naoki Hagiwara and Takeshi Takano and Shunji Mitsuyoshi and Shinichi Tokuno",
note = "Funding Information: Acknowledgements. This research is (partially) supported by the Center of Innovation Program from Japan Science and Technology Agency, JST. This work was supported by JSPS KAKENHI Grant Numbers JP15H03002 and JP17K01404.; 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017 ; Conference date: 28-04-2017 Through 29-04-2017",
year = "2018",
doi = "10.1007/978-3-319-93644-4_7",
language = "English (US)",
isbn = "9783319936437",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "127--146",
editor = "Leszek Maciaszek and {O Donoghue}, John and William Molloy and Carsten Rocker and Martina Ziefle",
booktitle = "Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers",
}