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Docket #: S17-445

A Fully-Automated Smart Toilet Mount for Continuous Human Health Monitoring

Engineers at Stanford have invented a smart toilet platform that will autonomously monitor excreted waste from humans. 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.

Figure

Figure description- A perspective view of a toilet with a mountable device for continuously measuring baselines of human excreta. The toilet system includes (1) a 10-parameter test-strip-based urinalysis with a retractable cartridge; (2) computer-vision uroflowmetry with two high-speed cameras (the blue dotted lines represent the FOV from each camera); (3) stool classification by deep learning (the blue dotted lines represent the FOV of the defecation monitoring camera); (4) defecation time measurement detected by a pressure sensor below the toilet seat (the red arrow represents the force applied to the pressure sensor); (5) two-biometric identifications, an analprint scan (the green box represents the template-matching algorithm) and a fingerprint scanner on the flush lever; and (6) the ability to transfer all data by wireless communication to a cloud-based health portal system. Right: photographs of the actual system mounted on a toilet.

Image credit: Adapted from the publication in Nature Biomedical Engineering

Stage of Research:

  • Prototype tested with 21 male/female subjects
  • Continued work to improve prototype
  • Conducted the user acceptance survey (300 survey respondents)
  • Applications

    • Human health continuous monitoring in homes, hospitals and clinics, military and workplace
      • Personalized testing based on patient health profile. Can test for diabetes, infections,
      • Customized urinalysis
      • Monitor patients undergoing surgery/chemotherapy/radiotherapy
      • Screen for certain cancers, irritable bowel syndrome (IBS), and GI diseases (Crohn etc.)
      • Monitor drug use, sexually transmitted diseases
      • Potential targeted diseases
    • Figure description-Table. Current and potential disease/state screening that may benefit from the toilet system. The upper part of the table indicates capable disease/state screening with the current version of the toilet. The lower part of the table requires more advanced technology and higher-level system integration. NAAT: Nucleic Acid Amplification Test, BSFS: Bristol Stool Form Scale, AMP: Amphetamine, BAR: Barbiturate, BUP: Buprenorphine, BZO: Benzodiazepines, COC: Cocaine, mAMP: Methamphetamine, MDMA: Methylenedioxymethamphetamine, MTD: Methadone, OPI: Opiate, OXY: Oxycodon, PCP: Phencyclidine, PPX: Propoxyphene, TCA: Tricyclic antidepressants, THC: Tetrahydrocannabinol. Image credit: Dr. Seung-min Park

    Advantages

    • Fully automated with user ID, excretion detection, and analysis features
    • Non-invasive
    • Cost effective diagnostics
    • Autonomous with continuous monitoring
    • Employs deep convolutional neural networks (CNNs) for stool analysis
    • Minimally interferes with normal human behavior in the toilet
    • Personalized and multiuser, based on personal ID fingerprint, “anal print”, or weight sensors
    • Customized assays based on patient profile
    • Little to no maintenance required by the user

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  • Full list of news coverage: 107 news stories from 92 outlets
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