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IoT-Inspired Smart Toilet System for Home-Based Urine Infection Prediction

Published: 30 May 2020 Publication History

Abstract

The healthcare industry is the premier domain that has been significantly influenced by incorporation of Internet of Things (IoT) technology resulting in smart healthcare application. Inspired by the enormous potential of IoT technology, this research provides a framework for an IoT-based smart toilet system, which enables home-based determination of Urinary Infection (UI) efficaciously. The overall system comprises a four-layered architecture for monitoring and predicting infection in urine. The layers include the Urine Acquisition, Urine Analyzation, Temporal Extraction, and Temporal Prediction layers, which enable an individual to monitor his or her health on daily basis and predict UI so that precautionary measures can be taken at early stages. Moreover, probabilistic quantification of urine infection in the form of Degree of Infectiousness (DoI) and Infection Index Value (IIV) were performed for infection prediction based on a temporal Artificial Neural Network. In addition, the presence of UI is displayed to the user based on a Self-Organized Mapping technique. For validation purposes, numerous experimental simulations were performed on four individuals for 60 days. Results were compared with different state-of-the-art techniques for measuring the overall efficiency of the proposed system.

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cover image ACM Transactions on Computing for Healthcare
ACM Transactions on Computing for Healthcare  Volume 1, Issue 3
July 2020
152 pages
EISSN:2637-8051
DOI:10.1145/3403604
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 30 May 2020
Online AM: 07 May 2020
Accepted: 01 December 2019
Revised: 01 December 2019
Received: 01 July 2019
Published in HEALTH Volume 1, Issue 3

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Author Tags

  1. Internet of Things
  2. SOM visualization
  3. smart toilet system
  4. temporal prediction

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