Area of research
Cardiology and Cardiovascular Medicine · Biomedical Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Pattern recognition (psychology), QRS complex, Sleep apnea, and Apnea.
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models
Cardiorespiratory disturbances in focal impaired awareness seizures: Insights from wearable ECG monitoring
Estratificación de la severidad de la apnea del sueño mediante un índice derivado de PPG basado en FFT
A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG
Detection and Classification of Sleep Apnea and Hypopnea Using PPG and SpO$_2$ Signals
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation
Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning
Artefact detection and quality assessment of ambulatory ECG signals
R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks
Evaluation of a Commercial Ballistocardiography Sensor for Sleep Apnea Screening and Sleep Monitoring
Automatic Screening of Sleep Apnea Patients Based on the SpO<sub>2</sub> Signal
A Machine-Learning Approach for Detection and Quantification of QRS Fragmentation
Unconstrained Estimation of HRV Indices After Removing Respiratory Influences From Heart Rate
Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring
Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG
Noise Level Estimation for Model Selection in Kernel PCA Denoising
Peri-ictal ECG changes in childhood epilepsy: Implications for detection systems
Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration