摘要
结合BP神经网络和多传感器数据融合方法,构建运动员心脏机能实时检测与分析模型.该模型借助集成化心音传感器、集成化脉搏传感器完成数据采集与前期处理,利用BP神经网络进行归一化处理,形成数据融合决策,获取运动员心脏机能情况.仿真结果表明,该模型能有效获取误差修正前后输出的心音波形,可实现运动员全身机能的智能监测与评价.
Combined with BP neural network and multi-sensor data fusion method,a real-time detection and analysis model of athletes′cardiac function is constructed.This model uses the integrated heart sound and pulse sensors to complete the data collection and pre-processing.In addition,BP neural network is used to normalize,form data fusion decision,and obtain the heart function of athletes.The simulation results show that this model can effectively obtain the heart′s sound waveforms before and after the error correction,which can also realize the intelligent monitoring and evaluation of athletes′whole body function.
作者
张佑春
朱炼
游志宇
盖昊宇
ZHANG You-chun;ZHU Lian;YOU Zhi-yu;GAI Hao-yu(School of Application Engineering,Anhui Business and Technology College,Hefei 231131,China;College of Electrical Information Engineering,Southwest University for Nationalities,Chengdu 610041,China)
出处
《宁德师范学院学报(自然科学版)》
2019年第4期420-424,共5页
Journal of Ningde Normal University(Natural Science)
基金
安徽高校自然科学研究重点项目(KJ2018A0873)
安徽省教学研究重点项目(2018jyxm0990)
安徽省职业与成人教育学会教育科研规划课题重点项目(azjxh17017)
安徽省教育科学研究项目(JK19139)
关键词
运动员
心脏机能
监测评价
数据融合
BP神经网络
athlete
cardiac function
monitoring and evaluation
data fusion:BP neural network