传感技术学报2024，Vol.37Issue(9)：1650-1658,9.DOI:10.3969/j.issn.1004-1699.2024.09.024
基于脑机接口的嗅觉神经信号识别筛查阿尔茨海默症的研究
The Recognition and Screening for Alzheimer's Disease Based on Olfactory Neural Signal from Brain Computer Interface
摘要
Abstract
A novel method for Alzheimer's disease(AD)recognition utilizing olfactory neural signals based on brain-computer interface in proposed.Flexible neural electrodes are developed and implanted into the olfactory system of mice to record in vivo neural activities.Time and frequency domain analysis of the spontaneous signals from the AD model mice and control group reveals that there are abnor-mal neural oscillations in the AD mice.Moreover,classification models are proposed to recognize AD.Several machine learning classifi-ers are constructed and trained using features extracted from the olfactory neural signals.The ANN model has the highest accuracy rate of 89.98%.The results provide a new technique method with great potential for AD screening and diagnosis.关键词
生物医学工程/阿尔茨海默症诊断/嗅觉神经信号/机器学习Key words
biomedical engineering/Diagnosis of Alzheimer's disease/olfactory neural signal/machine learning分类
医药卫生引用本文复制引用
段言,王天星,袁群琛,石颖倩,胡燕婕,庄柳静,王平..基于脑机接口的嗅觉神经信号识别筛查阿尔茨海默症的研究[J].传感技术学报,2024,37(9):1650-1658,9.基金项目
国家自然科学基金项目(62271443,32250008) （62271443,32250008）
浙江省自然科学基金项目(LBY21H180001,LY21C100001) （LBY21H180001,LY21C100001）
