Christophe Smeets

Orcid: 0000-0002-1746-7585

According to our database1, Christophe Smeets authored at least 11 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients.
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2022
Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity.
IEEE J. Biomed. Health Informatics, 2022

Predicting 6-minute walking test outcomes in patients with chronic obstructive pulmonary disease without physical performance measures.
Comput. Methods Programs Biomed., 2022

2021
Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing.
IEEE Trans. Biomed. Eng., 2021

Controlled Breathing Effect on Respiration Quality Assessment Using Machine Learning Approaches.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation.
Sensors, 2020

Cardiac Comorbidities in COPD Patients Explained Through HRV and Respiratory Indices.
Proceedings of the Computing in Cardiology, 2020

Relationship Between Heart Rate Recovery and Disease Severity in Chronic Obstructive Pulmonary Disease Patients.
Proceedings of the Computing in Cardiology, 2020

2019
The Progression of Heart Rate Variability Parameters Throughout Cardiac Rehabilitation.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2015
Congestive heart failure patient monitoring using wearable Bio-impedance sensor technology.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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