基于健康数据挖掘的智能养老床系统设计研究
PDF下载 (299)杨海宇,王志武,沈惠吉.基于健康数据挖掘的智能养老床系统设计研究[J].宁波大学学报(理工版),2019,32(6):56-60.DOI:
YANG Haiyu,Wang Zhiwu,SHEN Huiji.Design of intelligent homecare bed based on health data mining[J].Journal of Ningbo University(Natural Science & Engineering Edition),2019,32(6):56-60.DOI:
| Title: | Design of intelligent homecare bed based on health data mining |
| 作者: | 杨海宇, 王志武, 沈惠吉 |
| Author(s): | YANG Haiyu, Wang Zhiwu, SHEN Huiji |
| 关键词: | electric homecare bed; physiological data collection; data mining; clustering |
| Keywords: | electric homecare bed; physiological data collection; data mining; clustering |
| 分类号: | TP273+.5 |
| 文献标识码: | A |
| 摘要: | (中文摘要详见PDF。) |
| Abstract: | In order to solve the problems of being functionally simple and technologically outdated of domestic electric homecare bed, a smart homecare bed based on health data mining is proposed. Firstly, the human heartbeat and the breath are collected by the non-contact vital sign sensor, and the weight is collected by the pressure sensor. The collected physiological parameters are transmitted to the remote server by wireless module. Then, by comparing the efficiency of classification and clustering methods in data mining of heart rate and respiratory rate, k-Means clustering algorithm is adopted and implemented for health data mining. Finally, the system parameters are optimized by multiple iterations through the clustering algorithm. The experiment proves that the smart homecare bed system based on health data mining proposed in this paper can not only solve the problems existing in the traditional electric homecare bed, but also provide accurate health data guarantee for subsequent health care service |
| 参考文献 /References: | [1].determination of respiratory rhythm and pulse rate using an under-pillow sensor based on wavelet transformation[C]. IEEE-EMBS 27th Annual International Conference, 2005:5869-5872. [2].拜军, 黄德生, 张骁, 等. 基于生物雷达技术的非接触心率检测研究[J]. 医疗卫生装备, 2014, 3(3):10-13. [3].李慧慧, 金林鹏. 一种基于心率和深层学习的心电图分类算法[J]. 航天医学与医学工程, 2016, 29(3):189-194. [4].李昭蓉, 何涛, 秦超, 等. 3种传导异常心律失常的心率变异性分析[J]. 广西医科大学学报, 2016, 33(3):492- 494. [5].尚岑, 王冬雨, 宇文姝丽. 数据挖掘技术在健康数据分析中的应用[J]. 医学信息学杂志, 2016(5):54-58. [6].曹凯迪, 徐挺玉, 刘云, 等. 聚类分析综述[J]. 智慧健康杂志, 2016(10):50-53. [7].Mitchell T M. 机器学习[M]. 北京: 机械工业出版社, 2013. [8].杨秀港. 数据挖掘算法综述[J]. 科技经济导刊, 2019, 27(5):166. [9].徐大川, 许宜诚, 张冬梅. k-均值算法的初始化方法综述[J]. 运筹学学报, 2018, 22(2):31-40. |
| 备注/Memo: | 收稿日期: 2019?07?11. 宁波大学学报(理工版)网址 http://journallg.nbu.edu.cn/ 宁波大学学报(理工版)网址:http://journallg.nbu.edu.cn/ |