X. Long

发表

On the analysis and classification of sleep stages from cardiorespiratory activity

X. Long, X Xi Long, 2015 .

Time delay between cardiac and brain activity during sleep transitions

P. Fonseca, R. Haakma, X. Long, 2015 .

Unobtrusive assessment of neonatal sleep state based on heart rate variability retrieved from electrocardiography used for regular patient monitoring.

Ronald M. Aarts, H. Niemarkt, P. Andriessen, 2017, Early human development.

Unobtrusive sleep state measurements in preterm infants - A review.

Ronald M. Aarts, L. Atallah, Elly Zwartkruis-Pelgrim, 2017, Sleep medicine reviews.

Modeling cardiorespiratory interaction during human sleep with complex networks

J. Foussier, P. Fonseca, R. Haakma, 2014 .

Pitfalls in EEG analysis in patients with non-convulsive status epilepticus

Ronald M. Aarts, J. Arends, L. Wang, 2020, medRxiv.

Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields

Xi Long, Ronald M. Aarts, Pedro Fonseca, 2017, IEEE Journal of Biomedical and Health Informatics.

Analysis and prediction of daily physical activity level data using autoregressive integrated moving average models

S. Pauws, X. Long, R. Aarts, 2009 .

Towards tailored physical activity health intervention: Predicting dropout participants

Ronald M. Aarts, S. Pauws, X. Long, 2014 .

Estimating actigraphy from motion artifacts in ECG and respiratory effort signals

Ronald M. Aarts, S. Leonhardt, P. Fonseca, 2016, Physiological measurement.

Title : Classification and Exploration of Sleep Stages with Cardiorespiratory Signals Based on Autoregressive Models

Ronald M. Aarts, R. Haakma, X. Long, 2015 .

Combining HRV features for automatic arousal detection

S. Leonhardt, J. Foussier, P. Fonseca, 2013, Computing in Cardiology 2013.

Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

Saadullah Farooq Abbasi, Bin Yin, X. Long, 2020, BMC research notes.

On algorithms for calculating arterial pulse pressure variation during major surgery

Ronald M. Aarts, X. Long, W. Peeters, 2017, Physiological measurement.

Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery

Ronald M. Aarts, E. Bresch, X. Long, 2021, Biomed. Signal Process. Control..

It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography

S. Pillen, P. Anderer, S. Overeem, 2021, Nature and Science of Sleep.

Between-laboratory and demographic effects on heart rate and its variability during sleep

J. Foussier, P. Fonseca, R. Haakma, 2014 .

Sleep apnea detection using time-delayed heart rate variability

Richard Heusdens, Xi Long, Jan Werth, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep learning approach for ECG-based automatic sleep state classification in preterm infants

Jan Werth, Ronald M. Aarts, Xi Long, 2020, Biomed. Signal Process. Control..

Recurrence quantification analysis across sleep stages

Steffen Leonhardt, Xi Long, Jerome Rolink, 2015, Biomed. Signal Process. Control..

It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography

S. Pillen, P. Anderer, S. Overeem, 2021, Nature and science of sleep.

Seizure pattern-specific epileptic epoch detection in patients with intellectual disability

Lei Wang, Xi Long, Pierre J. M. Cluitmans, 2017, Biomed. Signal Process. Control..

Seizure detection using dynamic warping for patients with intellectual disability

Lei Wang, Yan Wu, Xi Long, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis

Xi Long, Ronald M. Aarts, Reinder Haakma, 2015, Comput. Intell. Neurosci..

Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification

Xi Long, Ronald M. Aarts, Reinder Haakma, 2014, Int. J. Artif. Intell. Tools.

Time-frequency analysis of heart rate variability for sleep and wake classification

Xi Long, Ronald M. Aarts, Reinder Haakma, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Audio-based snore detection using deep neural networks

Sebastiaan Overeem, Xi Long, Xavier L. Aubert, 2020, Comput. Methods Programs Biomed..

Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study.

S. Overeem, J. Dudink, X. Long, 2021, Sleep medicine.

Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population.

P. Anderer, S. Overeem, A. Moreau, 2020, Sleep.

Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study

Xi Long, Renée A. Otte, Eric van der Sanden, 2019, Sensors.

A deep transfer learning approach for wearable sleep stage classification with photoplethysmography

Ronald M. Aarts, P. Anderer, A. Moreau, 2021, npj Digital Medicine.

Sleep stage classification from heart-rate variability using long short-term memory neural networks

Ronald M. Aarts, Xi Long, Mustafa Radha, 2019, Scientific Reports.

Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults

Steffen Leonhardt, Xi Long, Ronald M. Aarts, 2017, IEEE Journal of Biomedical and Health Informatics.

Sleep stage classification with ECG and respiratory effort

Xi Long, Ronald M. Aarts, Reinder Haakma, 2015, Physiological measurement.

A novel low-complexity post-processing algorithm for precise QRS localization

Xi Long, Ronald M. Aarts, Jérôme Foussier, 2014, SpringerPlus.

Actigraphy-based sleep/wake detection for insomniacs

Xi Long, Ronald M. Aarts, Reinder Haakma, 2017, 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Xi Long, Ronald M. Aarts, Jie Yang, 2014, Physiological measurement.

Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study

Xi Long, Ronald M. Aarts, Reinder Haakma, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Analyzing respiratory effort amplitude for automated sleep stage classification

Xi Long, Ronald M. Aarts, Reinder Haakma, 2014, Biomed. Signal Process. Control..

The value of cardiorespiratory parameters for sleep state classification in preterm infants: A systematic review.

S. Pillen, M. Benders, A. van den Hoogen, 2021, Sleep medicine reviews.

Systolic blood pressure estimation using PPG and ECG during physical exercise

Ronald M. Aarts, J Muehlsteff, X. Long, 2016, Physiological measurement.

Finger and forehead photoplethysmography-derived pulse-pressure variation and the benefits of baseline correction

Ronald M. Aarts, X. Long, W. Peeters, 2018, Journal of Clinical Monitoring and Computing.

Improving sleep/wake classification with recurrence quantification analysis features

Steffen Leonhardt, Xi Long, Jerome Rolink, 2019, Biomed. Signal Process. Control..

A comparison of probabilistic classifiers for sleep stage classification

Xi Long, Ronald M. Aarts, Ronald M Aarts, 2018, Physiological measurement.

Improving sleep/wake detection via boundary adaptation for respiratory spectral features

Xi Long, Ronald M. Aarts, Reinder Haakma, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

On the relationship of arousals and artifacts in respiratory effort signals

Berno J. E. Misgeld, Steffen Leonhardt, Xi Long, 2014 .

On the impact of arousals on the performance of sleep and wake classification using actigraphy

Xi Long, Ronald M. Aarts, Jérôme Foussier, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Respiration amplitude analysis for REM and NREM sleep classification

Xi Long, Ronald M. Aarts, Reinder Haakma, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Using dynamic time warping for sleep and wake discrimination

Xi Long, Ronald M. Aarts, Reinder Haakma, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Assessment of Obstructive Sleep Apnea Severity Using Audio-Based Snoring Features

S. Overeem, P. Fonseca, X. Long, 2022, SSRN Electronic Journal.

Convolutional Neural Networks for Audio-Based Continuous Infant Cry Monitoring at Home

Caifeng Shan, X. Long, R. Otte, 2021, IEEE Sensors Journal.

A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors

Ronald M. Aarts, W. Chen, Chunjiao Dong, 2022, IEEE Transactions on Instrumentation and Measurement.

A broadband method of quantifying phase synchronization for discriminating seizure EEG signals

Ronald M. Aarts, Xi Long, Ronaldus Maria Aarts, 2019, Biomed. Signal Process. Control..

EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures

Lei Wang, Xi Long, Ronald M. Aarts, 2017, Journal of Neuroscience Methods.

False alarms reduction in non-convulsive status epilepticus detection via continuous EEG analysis

Ying Wang, Xi Long, Ronald M. Aarts, 2020, Physiological measurement.

Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance

J P van Dijk, M M van Gilst, B M Wulterkens, 2020, BMC Research Notes.

Towards tailored physical activity health intervention: Predicting dropout participants

Ronald M. Aarts, S. Pauws, X. Long, 2014 .

A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video

Xi Long, Saadullah Farooq Abbasi, Muhammad Awais, 2021, IEEE Journal of Biomedical and Health Informatics.

Video‐based actigraphy is an effective contact‐free method of assessing sleep in preterm infants

Ronald M. Aarts, P. Andriessen, X. Long, 2020, Acta paediatrica.

EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network

Wei Chen, Muhammad Irfan, Xi Long, 2020, IEEE Access.

Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition

Wei Chen, Xi Long, Ronald M. Aarts, 2020, IEEE Access.

Automated preterm infant sleep staging using capacitive electrocardiography

Xi Long, Jan Werth, Ronald M. Aarts, 2019, Physiological measurement.

Characterizing and Detecting Freezing of Gait using Multi-modal Physiological Signals

Ying Wang, Ronald M. Aarts, Floris Beuving, 2020, 2009.12660.

Freezing of gait detection in Parkinson’s disease via multimodal analysis of EEG and accelerometer signals

Ying Wang, Xi Long, Ronald M. Aarts, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Single-accelerometer-based daily physical activity classification

Xi Long, Ronald M. Aarts, Bin Yin, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Human Gender Classification: A Review pdf

Wenyao Xu, Feng Lin, Xi Long, 2015, Int. J. Biom..

Unobtrusive cot side sleep stage classification in preterm infants using ultra-wideband radar

M. Benders, J. Dudink, X. Long, 2023, Frontiers in Sleep.

Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study

Ronald M. Aarts, J. Arends, X. Long, 2021, Clinical EEG and neuroscience.

Correlations between overnight breathing rate variation and subjective sleep quality scores

R. Haakma, X. Long, M. Goelema, 2014 .

The Use of Respiratory Effort Improves an ECG-Based Deep Learning Algorithm to Assess Sleep-Disordered Breathing

S. Overeem, P. Fonseca, X. Long, 2023, Diagnostics.

Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping

Xi Long, Ronald M. Aarts, Reinder Haakma, 2014, IEEE Journal of Biomedical and Health Informatics.

Characterizing cardiorespiratory interaction in preterm infants across sleep states using visibility graph analysis.

P. Andriessen, X. Long, Lin Xu, 2021, Journal of applied physiology.

Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts

Bin Yin, X. Long, Wei Chen, 2021, Biomedical engineering online.

Functional connectivity network during seizure: a comparative study on phase synchronization measures

Lei Wang, Johan Arends, Ronaldus Maria Aarts, 2017 .

EEG-based seizure detection in patients with intellectual disability: Which EEG and clinical factors are important?

Lei Wang, Xi Long, Ronald M. Aarts, 2019, Biomed. Signal Process. Control..

Continuous blood pressure estimation using ECG and PPG in the operating theatre

Ronald M. Aarts, X. Long, J. Muehlsteff, 2021 .

Hybrid Optical Unobtrusive Blood Pressure Measurements

Caifeng Shan, Xi Long, Ronald M. Aarts, 2017, Sensors.

Epileptic Seizure Detection by Cascading Isolation Forest-Based Anomaly Screening and EasyEnsemble

Ronald M. Aarts, Wei Chen, C. Dai, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A comparison of probabilistic classifiers for sleep stage classification

Ronald M. Aarts, P. Fonseca, X. Long, 2018, Physiological measurement.

Influence of Spectral Peaks on EMG Parameter Estimation for Vibration-Exercise Analysis

X. Long, Lin Xu, M. Mischi, 2021, IEEE Sensors Journal.

Estimating actigraphy from motion artifacts in ECG and respiratory effort signals

Ronald M. Aarts, S. Leonhardt, P. Fonseca, 2016, Physiological measurement.

nalyzing respiratory effort amplitude for automated sleep stage lassification

Ronald M. Aarts, J. Foussier, P. Fonseca, 2014 .

Singular Value Decomposition for Removal of Cardiac Interference from Trunk Electromyogram

Sebastiaan Overeem, Xi Long, Massimo Mischi, 2021, Sensors.

Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?

Bin Yin, X. Long, Wei Chen, 2020, BMC Research Notes.