---
title: Bismart’s and Libelium’s smart system analyzes the environmental triggers of lung disease in Brussels
description: Bismart and Libelium have worked on a project to analyze the environmental triggers of chronic obstructive pulmonary disease (COPD) decompensation.
---

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# [Bismart’s and Libelium’s smart system analyzes the environmental triggers of lung disease in Brussels](https://blog.bismart.com/en/bismarts-libeliums-smart-system-analyzes-environmental-triggers-lung-disease-brussels)

 Written by [Maria Gorini](https://blog.bismart.com/en/author/maria-gorini) | Jul 26, 2017 10:00:00 PM

[Bismart](https://www.bismart.com/) and Libelium have worked on a project to analyze **the environmental triggers of chronic obstructive pulmonary disease (COPD) decompensation** in order to be able **to size the hospital emergency and hospital admission services** as soon as possible before these possible environmental triggers appear.

Both companies have worked on a system based on [Waspmote Plug & Sense! Sensor Platform](https://www.libelium.com/products/plug-sense/) to control **temperature, humidity, wind, fog, rain, SO****2**** and NO****2**** levels**. It has been installed at Microsoft’s Executive Briefing Center in Brussels.

The installation consists of 3 different models of [Libelium’s IoT platform](https://www.libelium.com/products/plug-sense/) which can measure the different parameters above-mentioned with the [Smart Cities platform](https://www.libelium.com/libelium-releases-new-iot-smart-cities-platform-enhancing-accuracy-in-noise-level-and-air-quality-pollution-sensors/), Smart Agriculture solution and [Smart Environment PRO](https://www.libelium.com/calibrated-air-quality-gas-dust-particle-matter-pm10-smart-cities/) application for air quality control.

Data collected by the sensors is analyzed on the [Bismart](https://www.bismart.com/) platform where **environmental triggers at monthly level are correlated with the monthly admissions in a small number of hospitals in Brussels**.

The report shows the monthly behavior of **different environmental variables in the city**:

- Snow days
- Rain days and total precipitation
- Hours of daylight
- Relative humidity
- Average temperature

With [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/), which correlates the information of discharges with the environmental variables, **certain thresholds that can lead to an increase of the admissions by COPD** can be determined such as temperature below 10º or relative humidity greater than 78%. At the same time, there is **a correlation between admissions information and environmental variables at monthly level**.

At this time, there are several next steps under development. One of them is the **acquisition of the environmental variables in real time thanks to the information provided by sensors**. Another is the analysis of these variables in real time to have an **Operational Control Panel to help us determine possible admissions for COPD in hospitals with the aim of improving patient care**.

If you want to join our IoT Ecosystem or want more information about it, [contact us ](https://www.bismart.com/en/contact/)or the [Libelium Sales Department](https://www.libelium.com/contact/).

[View full post](https://blog.bismart.com/en/bismarts-libeliums-smart-system-analyzes-environmental-triggers-lung-disease-brussels)

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