|本期目录/Table of Contents|

[1]李素姣,朱华瑞,胡冰山△,等.多功能护理床智能技术的研究进展*[J].生物医学工程研究,2021,04:440-447.
 LI Sujiao,ZHU Huarui,HU Bingshan,et al.Advance in intelligent technology of multi-functional nursing bed[J].Journal of Biomedical Engineering Research,2021,04:440-447.
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多功能护理床智能技术的研究进展*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2021年04期
页码:
440-447
栏目:
出版日期:
2021-12-25

文章信息/Info

Title:
Advance in intelligent technology of multi-functional nursing bed
文章编号:
1672-6278 (2021)04-0440-08
作者:
李素姣12朱华瑞12胡冰山12△喻洪流12苏颖兵12
1.上海理工大学康复工程与技术研究所,上海200093;2.上海康复器械工程技术研究中心,上海200093
Author(s):
LI Sujiao12ZHU Huarui12HU Bingshan12YU Hongliu12SU Yingbing12
1.University of Shanghai for Science and Technology,Institute of Rehabilitation Engineering and Technology,Shanghai 200093,China;2.Shanghai Engineering Research Center of Assistive Devices,Shanghai 20093
关键词:
多功能护理床二便护理机器人定位自动对接多技术融合
Keywords:
Intelligent nursing bedTwo defecation nursing robotLocalizationAutomatic dockingMulti-technology fusion
分类号:
R318;R472;TN249
DOI:
10.19529/j.cnki.1672-6278.2021.04.16
文献标识码:
A
摘要:
随着人口老龄化加剧,多功能护理床需求呈现迅速上升趋势。我们在系统调研多功能护理床的基础上,对护理床功能分类、关键技术分析和未来发展趋势进行了总结与展望。根据多功能护理床的功能类型将其分为基础功能型、二便护理型和自主移动型,并对各种类型进行技术对比。重点阐述了多功能护理床自动对接功能中红外超声波、激光雷达和视觉传感器三种传感器的工作原理及存在的问题,指出了多功能护理床智能技术发展应做到多种技术融合使用,提高产品的综合性能和可靠性。
Abstract:
With the aggravation of aging population, the demand for multifunctional nursing beds is increasing rapidly.We summarize and prospect the function classification, key technology analysis, future development trend of multi-function nursing bed based on the systematic investigation.According to the functional types of multi-functional nursing bed,it can be divided into basic functional type, two defecation nursing type and autonomous mobile type. We focus on the working principle and existing problems of three kinds of sensors:infrared ultrasonic, lidar and visual sensor.It is pointed out that the development of intelligent technology of multi-functional nursing bed should integrate various technologies to improve the comprehensive performance and reliability of products.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2021-05-25)国家重点研发计划资助项目(2020YFC2005800)。△通信作者Email:hubingshan@usst.edu.cn
更新日期/Last Update: 2022-01-17