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

被引：3

作者：

Hu, Bingshan ^{[1
,2
]}

Chen, Zhiwei ^{[1
]}

Chen, Xinyu ^{[1
]}

Lu, Sheng ^{[1
]}

Su, Yingbing ^{[1
]}

Yu, Hongliu ^{[1
,2
]}

机构：

[1] Univ Shanghai Sci & Technol, Inst Rehabil Engn & Technol, Shanghai 200093, Peoples R China

[2] Shanghai Engn Res Ctr Assist Devices, Shanghai 200093, Peoples R China

来源：

HEALTHCARE | 2023年 / 11卷 / 03期

基金：

上海市自然科学基金; 国家重点研发计划;

关键词：

urination and defecation care; automation; multi-sensor fusion detection algorithm; URINARY-INCONTINENCE; DEVICE;

D O I：

10.3390/healthcare11030388

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

(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.

引用

页数：16

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