Predicting arterial pCO2 using capnographic recordings - A pilot study using a novel breath analysis device - Amsterdam 2025

Home monitoring in asthma and COPD

Chair(s): Arzu Yorgancioglu, Fabio L. M. Ricciardolo

Session type: Poster session

Predicting arterial pCO2 using capnographic recordings - A pilot study using a novel breath analysis device

Theresa Klemm

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The utility of electronic diaries in adverse event notification in a COPD study

Ines Meireles

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Wearable Devices for Monitoring COPD: Real-World Challenges and Insights

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Diagnostic accuracy of a novel contactless monitoring device to detect exacerbations of COPD

Shaogi Syam

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Abstract

Predicting arterial pCO2 using capnographic recordings - A pilot study using a novel breath analysis device

Theresa Klemm

Poster

Abstract

Heart rate, respiratory rate and airflow variability analysis in chronic obstructive pulmonary disease

Amar Shah

Poster

Abstract

Home-based FeNO measurement in GINA 1-5 asthma: the FeNO@home study

Kai Michael Beeh

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Abstract

Individualised FEV? thresholds for home spirometry: data-driven pilot approach

Wim Janssens

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Abstract

ExHaled nitric Oxide measurements to Predict the risk of Exacerbations in COPD (HOPE): A feasibility study.

Kateryna Gashynova

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Abstract

Variability of fractional exhaled nitric oxide using domiciliary measurements in symptomatic and untreated patients with suspected asthma

Ran Wang

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Abstract

Patterns of symptom deterioration through remote monitoring can support multimorbid COPD (self-)management: A mixed-methods study

Sanne H B Van Dijk

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Abstract

Can artificial intelligence predict spirometry from a simple smartphone voice recording?

Amani Sayhi

Poster

Abstract

CDN Connection Issue

The ERS Congress 2025, Amsterdam

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