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Related Concept Videos

Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Updated: Jun 27, 2026

Fa&#231;ade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
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An Integrated IoT-Based Multi-Sensor Framework for Real-Time Indoor Environment and Safety Monitoring.

Aung Min Naing1, Duaa Zuhair Al-Hamid1, Anuradha Singh2

  • 1Department of Computer and Information Sciences, Auckland University of Technology (AUT), Auckland 1010, New Zealand.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study developed a low-cost, privacy-conscious Internet-of-Things (IoT) framework for monitoring indoor environments and safety. The system effectively integrates air quality, vibration, and communication data for enhanced building awareness.

Keywords:
IoTMQTT protocoledge computingindoor air qualityindoor environment monitoringmulti-sensor integrationreal-time analyticssmart cities

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Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

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Last Updated: Jun 27, 2026

Fa&#231;ade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

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Published on: December 12, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

  • Environmental Science
  • Computer Science
  • Engineering

Background:

  • Poor indoor air quality and unnoticed disturbances impact occupant well-being and safety in smart buildings.
  • Existing monitoring systems often lack integrated analysis of environmental conditions, vibration, and communication reliability.

Purpose of the Study:

  • To design, implement, and evaluate a low-cost, privacy-conscious IoT framework for indoor environment and safety monitoring.
  • To integrate multi-modality sensing including environmental parameters and vibration with edge analytics.

Main Methods:

  • Utilized ESP32/Arduino sensor nodes and a Raspberry Pi gateway for a non-imaging IoT system.
  • Integrated sensors for carbon dioxide (CO2), temperature, humidity, VOC trends, and vibration.
  • Employed MQTT for communication and edge-side analytics for real-time data interpretation.

Main Results:

  • CO2 levels accurately reflected ventilation conditions, increasing significantly in occupied, closed environments.
  • Vibration sensing successfully distinguished various activity states (e.g., calm, footsteps, jumping).
  • MQTT communication demonstrated reliable message delivery with QoS 1 offering a balance of low latency and assurance.

Conclusions:

  • Lightweight, open-source IoT hardware can create a reproducible prototype for building-level sensing and edge analytics.
  • The developed framework shows promise for indoor environment and safety-awareness monitoring.
  • Future work includes broader deployment in various building sizes and smart-city infrastructure.