Browsing by Author "Smeets, Christophe"

Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity

Cardiac Comorbidities in COPD Patients Explained Through HRV and Respiratory Indices

Clinical validation of a low-power and wearable ECG patch for long term full-disclosure monitoring

Clinical validation of a low-power and wearable ECG patch for long term full-disclosure monitoring

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

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

Controlled Breathing Effect on Respiration Quality Assessment Using Machine Learning Approaches

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

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

Relationship Between Heart Rate Recovery and Disease Severity in Chronic Obstructive Pulmonary Disease Patients

The added value of in-hospital tracking of the efficacy of decongestion therapy and prognostic value of a wearable thoracic impedance sensor in acutely decompensated heart failure with volume overload: prospective cohort study

THORACIC BIOIMPEDANCE AS AN INNOVATIVE TOOL TO DETECT CHANGES IN BLOOD PRESSURE DURING HEMODIALYSIS

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

Unobtrusive estimation of ventilatory and muscle activity for COPD assessment

Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation