Christophe P. Smeets

Genk, VLG, Belgium

Last Updated: 09/26/2026

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Found 24 publications

Artificial intelligence shows comparable or improved performance to traditional risk models in predicting atrial fibrillation after cryptogenic stroke.

Artificial intelligence shows comparable or improved performance to traditional risk models in predicting atrial fibrillation after cryptogenic stroke.

Journal: Digital health

Published: October 14, 2025

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.

Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.

Journal: JMIR formative research

Published: August 06, 2024

Interpretable machine learning models for COPD ease of breathing estimation.

Interpretable machine learning models for COPD ease of breathing estimation.

Journal: Medical & biological engineering & computing

Published: June 13, 2024

Comparison of whole body versus thoracic bioimpedance in relation to ultrafiltration volume and systolic blood pressure during hemodialysis.

Comparison of whole body versus thoracic bioimpedance in relation to ultrafiltration volume and systolic blood pressure during hemodialysis.

Journal: Journal of applied physiology (Bethesda, Md. : 1985)

Published: September 28, 2023

Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity.

Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity.

Journal: IEEE journal of biomedical and health informatics

Published: September 19, 2022

Predicting 6-minute walking test outcomes in patients with chronic obstructive pulmonary disease without physical performance measures.

Predicting 6-minute walking test outcomes in patients with chronic obstructive pulmonary disease without physical performance measures.

Journal: Computer methods and programs in biomedicine

Published: November 30, 2021

Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring.

Data Augmentation and Transfer Learning for Data Quality Assessment in Respiratory Monitoring.

Journal: Frontiers in bioengineering and biotechnology

Published: November 01, 2021

Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study.

Short-Term Exercise Progression of Cardiovascular Patients throughout Cardiac Rehabilitation: An Observational Study.

Journal: Journal of clinical medicine

Published: August 25, 2020

Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing.

Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing.

Journal: IEEE transactions on bio-medical engineering

Published: August 04, 2020

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.

Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.

Journal: Sensors (Basel, Switzerland)

Published: April 28, 2020

Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study.

Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study.

Journal: BMC nephrology

Published: April 07, 2020

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study.

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study.

Journal: Journal of medical Internet research

Published: December 07, 2019

Showing 1-12 of 24

Last Updated: 09/26/2026