MCI Detection Based on Deep Learning with Voice Spectrogram

Hong Han Hank Chau, Yawgeng Chau, Hsiao Lun Wang, Yi Fang Chuang, Chien Cheng Lee

研究成果: Conference contribution同行評審

摘要

We conduct a study on the classification of mild cognitive impairment (MCI) which is an early stage of dementia. We employ deep learning with a voice spectrogram for MCI detection. In accordance with the psychiatrist's diagnosis and the patient's score on the Mini-Mental State Examination (MMSE), the true status of the potential patient is labeled. Using the images of the voice spectrogram, we applied the convolutional neural networks (CNN) for MCI classification, where the optimal decision threshold was explored. With the optimal threshold, the precision and recall of patient-based classification are 75 and 82%, respectively.

原文English
主出版物標題Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面212-216
頁數5
ISBN(電子)9781728195797
DOIs
出版狀態Published - 2022
事件4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022 - Tainan, Taiwan
持續時間: 27 5月 202229 5月 2022

出版系列

名字Proceedings of the 2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022

Conference

Conference4th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2022
國家/地區Taiwan
城市Tainan
期間27/05/2229/05/22

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