A mountable toilet system for personalized health monitoring via the analysis of excreta.,Nature Biomedical Engineering

当前位置： X-MOL 学术 › Nat. Biomed. Eng. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

A mountable toilet system for personalized health monitoring via the analysis of excreta.
Nature Biomedical Engineering ( IF 26.8 ) Pub Date : 2020-04-06 , DOI: 10.1038/s41551-020-0534-9
Seung-Min Park _{1,

2} , Daeyoun D Won _{1,

3,

4} , Brian J Lee _{1,

2} , Diego Escobedo ₁ , Andre Esteva ₅ , Amin Aalipour _{1,

2} , T Jessie Ge ₆ , Jung Ha Kim ₃ , Susie Suh ₇ , Elliot H Choi ₇ , Alexander X Lozano _{8,

9} , Chengyang Yao ₁₀ , Sunil Bodapati ₁₁ , Friso B Achterberg _{1,

2,

12} , Jeesu Kim _{1,

2,

13} , Hwan Park ₁₄ , Youngjae Choi ₁₄ , Woo Jin Kim ₁₄ , Jung Ho Yu _{1,

2} , Alexander M Bhatt ₁ , Jong Kyun Lee _{3,

4} , Ryan Spitler _{1,

15} , Shan X Wang _{8,

10,

16} , Sanjiv S Gambhir _{1,

2,

8,

11,

15,

16}

Affiliation

Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Department of Surgery, Seoul Song Do Hospital, Seoul, Republic of Korea.
Cancer Immunology Laboratory, Seoul, Seoul Song Do Hospital, Republic of Korea.
Salesforce Research, Palo Alto, CA, USA.
Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Precision Health and Integrated Diagnostic Center (PHIND), Stanford University School of Medicine, Palo Alto, CA, USA.
Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA.

Technologies for the longitudinal monitoring of a person's health are poorly integrated with clinical workflows, and have rarely produced actionable biometric data for healthcare providers. Here, we describe easily deployable hardware and software for the long-term analysis of a user's excreta through data collection and models of human health. The 'smart' toilet, which is self-contained and operates autonomously by leveraging pressure and motion sensors, analyses the user's urine using a standard-of-care colorimetric assay that traces red-green-blue values from images of urinalysis strips, calculates the flow rate and volume of urine using computer vision as a uroflowmeter, and classifies stool according to the Bristol stool form scale using deep learning, with performance that is comparable to the performance of trained medical personnel. Each user of the toilet is identified through their fingerprint and the distinctive features of their anoderm, and the data are securely stored and analysed in an encrypted cloud server. The toilet may find uses in the screening, diagnosis and longitudinal monitoring of specific patient populations.

中文翻译：

一种可安装的厕所系统，用于通过分析排泄物进行个性化健康监测。

用于纵向监测个人健康的技术与临床工作流程的集成度很低，并且很少为医疗保健提供者提供可操作的生物特征数据。在这里，我们描述了易于部署的硬件和软件，用于通过数据收集和人类健康模型对用户的排泄物进行长期分析。“智能”马桶是独立的，通过利用压力和运动传感器自主运行，使用标准护理比色法分析用户的尿液，该比色法追踪尿液分析条图像中的红-绿-蓝值，计算使用计算机视觉作为尿流量计来测量尿液的流速和体积，并使用深度学习根据 Bristol 粪便形式量表对粪便进行分类，其性能可与受过训练的医务人员的性能相媲美。厕所的每个用户都通过他们的指纹和他们的阳极膜的独特特征来识别，并且数据被安全地存储和分析在一个加密的云服务器中。马桶可用于特定患者群体的筛查、诊断和纵向监测。

更新日期：2020-04-24

点击分享查看原文

点击收藏

公开下载

阅读更多本刊最新论文