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A mountable toilet system for personalized health monitoring via the analysis of excreta.
Park, Seung-Min; Won, Daeyoun D; Lee, Brian J; Escobedo, Diego; Esteva, Andre; Aalipour, Amin; Ge, T Jessie; Kim, Jung Ha; Suh, Susie; Choi, Elliot H; Lozano, Alexander X; Yao, Chengyang; Bodapati, Sunil; Achterberg, Friso B; Kim, Jeesu; Park, Hwan; Choi, Youngjae; Kim, Woo Jin; Yu, Jung Ho; Bhatt, Alexander M; Lee, Jong Kyun; Spitler, Ryan; Wang, Shan X; Gambhir, Sanjiv S.
Afiliação
  • Park SM; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Won DD; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Lee BJ; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Escobedo D; Department of Surgery, Seoul Song Do Hospital, Seoul, Republic of Korea.
  • Esteva A; Cancer Immunology Laboratory, Seoul, Seoul Song Do Hospital, Republic of Korea.
  • Aalipour A; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ge TJ; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Kim JH; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Suh S; Salesforce Research, Palo Alto, CA, USA.
  • Choi EH; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Lozano AX; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Yao C; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Bodapati S; Department of Surgery, Seoul Song Do Hospital, Seoul, Republic of Korea.
  • Achterberg FB; Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Kim J; Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Park H; Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
  • Choi Y; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Kim WJ; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
  • Yu JH; Department of Bioengineering, Stanford University, Stanford, CA, USA.
  • Bhatt AM; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Lee JK; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Spitler R; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
  • Wang SX; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Gambhir SS; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Nat Biomed Eng ; 4(6): 624-635, 2020 06.
Article em En | MEDLINE | ID: mdl-32251391
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aparelho Sanitário / Desenho de Equipamento / Monitorização Fisiológica Limite: Adult / Female / Humans / Male Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aparelho Sanitário / Desenho de Equipamento / Monitorização Fisiológica Limite: Adult / Female / Humans / Male Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos