Research of System Design and Automatic Detection Method for Excretion Nursing Equipment

Author:

Hu Bingshan12ORCID,Chen Zhiwei1,Chen Xinyu1,Lu Sheng1,Su Yingbing1,Yu Hongliu12

Affiliation:

1. Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China

2. Shanghai Engineering Research Center of Assistive Devices, Shanghai 200093, China

Abstract

(1) Background: The nursing of the elderly has received more and more attention, especially the nursing of urination and defecation for the elderly. (2) Purpose: Design an excretion nursing equipment that can accurately identify and deal with urine and stool. (3) Methods: In this paper, based on the analysis of the requirements of excretion nursing equipment, a split mechanical design method and a modular control method are used to design the equipment. The Dempster–Shafer (D-S) evidence theory is used in the identification of urine and stool. (4) Results: The excretion nursing equipment designed in this paper works well according to functional test, and the success rate of stool and urine identification method using D-S evidence theory is 20% higher than that of traditional methods, reaching 90%. (5) Conclusions: The urine and stool recognition and detection algorithm based on the D-S evidence theory used in this paper can improve the recognition accuracy of traditional detection methods, and the designed excretion nursing equipment can realize the function of excretion care for patients.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference24 articles.

1. (2023, January 16). The United Nations’ World Population Prospects 2022 Report: Global Population Reaches 8 Billion and Aging Continues to Ac-celerate. Available online: https://mp.weixin.qq.com/s?__biz=MzI0MzE1MDI0Nw==&mid=2651202854&idx=3&sn=0e86bbbec930dcbc91ca80836f196ae7&chksm=f283f9eec5f470f804260228cf3c9f18f4e84ea7997b4fbd498d3078fa2b9bc0d4eabea50c7b&scene=27.

2. Sang, S., Lu, W., Yuan, F., Qiang, S., and Li, Z. (2018). Inner Bowl of Operating Head of Nursing Machine, and Nursing Machine. (10,105,271), U.S. Patent.

3. A noninvasive continence management system: Development and evaluation of a novel toileting device for women;Macaulay;J. Wound Ostomy Cont. Nurs.,2007

4. Urinary incontinence: A vibration alert system for detecting pad overflow;Bosco;Assist. Technol.,2011

5. Development of a warning system to detect urinary incontinence from outside of a diaper using a reusable sensor;Nakajima;ABE Adv. Biomed. Eng.,2014

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3