西南医科大学学报2025，Vol.48Issue(1)：74-80,7.DOI:10.3969/j.issn.2096-3351.2025.01.015
基于心率变异性的噪声烦恼识别模型构建
Noise Annoyance Recognition Model based on Heart Rate Variability
摘要
Abstract
Objective To explore the predictive effect of heart rate variability(HRV)on noise annoyance and develop a model for identifying and assessing noise annoyance.Methods A group of employed subway drivers participated in a simulated train driving experiment under different noise conditions.The Weinstein Noise Sensitivity Scale,subjective noise annoyance questionnaire,and electrocardiogram data were collected.HRV features were extracted and transformed into a standard normal distribution using Z-Score normalization.Random Forest(RF)was used for feature selection and important features were inputted to establish various driver noise annoyance identification models based on HRV features.The impact of individual noise sensitivity on accuracy was also discussed.Results Multiple HRV features were found to be related to noise annoyance.Feature selection revealed that individual noise sensitivity significantly influenced the identification and detection of noise annoyance.Among various classification models,the Convolutional Neural Network(CNN)model achieved the best performance in identifying annoyance levels,with an accuracy of 90.03％.Conclu-sion The deep learning model based on HRV demonstrated excellent performance in identifying noise annoyance,providing a method and theoretical support for real-time recognition of occupational noise annoyance.关键词
心率变异性/噪声烦恼/地铁司机/卷积神经网络Key words
Heart rate variability/Noise annoyance/Subway drivers/Convolutional neural network分类
医药卫生引用本文复制引用
代盛仪,刘海玥,孙志强,李丹,王桐,左小红,徐芳,蒋朝哲..基于心率变异性的噪声烦恼识别模型构建[J].西南医科大学学报,2025,48(1):74-80,7.基金项目
甘肃省科技厅项目(22CX8JA142) （22CX8JA142）
民航飞行技术与飞行安全重点实验室开放项目(Q113621Q02002) （Q113621Q02002）
兰州市轨道交通有限公司资助项目(R113620H01035) （R113620H01035）
