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Thomas Penzel
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2020 – today
- 2024
- [j33]Hongmei Liu
, Haibo Zhang
MSleepNet: A Semi-Supervision-Based Multiview Hybrid Neural Network for Simultaneous Sleep Arousal and Sleep Stage Detection. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - 2023
- [j32]Yaopeng J. X. Ma
Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches. Comput. Biol. Medicine 163: 107193 (2023) - [j31]Gizem Yilmaz
Nocturnal Blood Pressure Estimation from Sleep Plethysmography Using Machine Learning. Sensors 23(18): 7931 (2023) - [j30]Ahsan Habib
Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages. IEEE Trans. Biomed. Eng. 70(6): 1717-1728 (2023) - [j29]Meagan Sinclair, Hamed Hanafi Alamdari
The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study. IEEE Trans. Biomed. Eng. 70(10): 2776-2787 (2023) - [c51]Fernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C. Gutiérrez-Tobal, Félix del Campo, David Gozal, Leila Kheirandish-Gozal, Thomas Penzel
A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea. EMBC 2023: 1-4 - [i1]Ryan J. Urbanowicz
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. CoRR abs/2312.05461 (2023) - 2022
- [j28]Zhiya Wang
Single-lead ECG based multiscale neural network for obstructive sleep apnea detection. Internet Things 20: 100613 (2022) - [j27]Hisham ElMoaqet
A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals. Sensors 22(22): 8826 (2022) - [j26]Johannes Zschocke
Reconstruction of Pulse Wave and Respiration From Wrist Accelerometer During Sleep. IEEE Trans. Biomed. Eng. 69(2): 830-839 (2022) - [j25]Hamed Hanafi Alamdari
High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines. IEEE Trans. Biomed. Eng. 69(7): 2202-2211 (2022) - [j24]Maksym Gaiduk
Estimation of Sleep Stages Analyzing Respiratory and Movement Signals. IEEE J. Biomed. Health Informatics 26(2): 505-514 (2022) - 2021
- [j23]Qingxue Zhang
IEEE Access Special Section Editorial: Advanced Information Sensing and Learning Technologies for Data-Centric Smart Health Applications. IEEE Access 9: 30404-30407 (2021) - [j22]Qingxue Zhang
IEEE Access Special Section Editorial: Smart Health Sensing and Computational Intelligence: From Big Data to Big Impacts. IEEE Access 9: 30452-30455 (2021) - [j21]Dominik Wehler, Herbert F. Jelinek
Reliability of heart-rate-variability features derived from ultra-short ECG recordings and their validity in the assessment of cardiac autonomic neuropathy. Biomed. Signal Process. Control. 68: 102651 (2021) - [j20]Carmina Reyes-Coronel
3D Camera and Pulse Oximeter for Respiratory Events Detection. IEEE J. Biomed. Health Informatics 25(1): 181-188 (2021) - [c50]Maksym Gaiduk
Evaluating Body Movement and Breathing Signals for Identification of Sleep/Wake States. ApplePies 2021: 206-211 - [c49]Fernando Vaquerizo-Villar, Daniel Álvarez, Jan F. Kraemer
Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks. EMBC 2021: 216-219 - [c48]Ekaterina I. Borovkova
Directional Couplings Between Electroencephalogram and Interbeat Intervals Signals in Awake State and Different Stages of Sleep. EMBC 2021: 5398-5402 - [c47]Lucas Weber
Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking. EMBC 2021: 5518-5522 - [c46]Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Martin Glos, Ingo Fietze
Sleep Apnea & Chronic Obstructive Pulmonary Disease: Overlap Syndrome Dynamics in Patients from an Epidemiological Study. EMBC 2021: 5574-5577 - 2020
- [j19]Hisham ElMoaqet
Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals. Sensors 20(18): 5037 (2020) - [c45]Maksym Gaiduk
A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment. ApplePies 2020: 286-291 - [c44]Carmina Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Anahid Naghibzadeh-Jalali, Alexander Schindler, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Kloesch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel:
Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models. APSIPA 2020: 919-923 - [c43]Maksym Gaiduk
Embedded system for non-obtrusive sleep apnea detection*. EMBC 2020: 2776-2779 - [c42]Thomas Penzel, Martin Glos, Ingo Fietze
Distinguish Obstructive and Central Sleep Apnea by Portable Peripheral Arterial Tonometry*. EMBC 2020: 2780-2783 - [c41]Taridzo Chomutare, Kassaye Yitbarek Yigzaw
Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives. HealthCom 2020: 1-8
2010 – 2019
- 2019
- [j18]Fábio Mendonça
A Review of Approaches for Sleep Quality Analysis. IEEE Access 7: 24527-24546 (2019) - [j17]Maximilian Beier, Thomas Penzel
A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals. Frontiers Neuroinformatics 13: 65 (2019) - [j16]Fábio Mendonça
A Review of Obstructive Sleep Apnea Detection Approaches. IEEE J. Biomed. Health Informatics 23(2): 825-837 (2019) - [c40]Alberto Zaffaroni, Sam Coffey, Stephen Dodd, Hannah Kilroy, Graeme Lyon, Damien O'Rourke, Katharina Lederer, Ingo Fietze
Sleep Staging Monitoring Based on Sonar Smartphone Technology. EMBC 2019: 2230-2233 - [c39]Mohammod Abdul Motin
Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals. EMBC 2019: 5564-5567 - [c38]Maksym Gaiduk
Recognition of Sleep/Wake States analyzing Heart Rate, Breathing and Movement Signals. EMBC 2019: 5712-5715 - [c37]Christoph Schöbel, Ingo Fietze
Effects of optimized heart failure medication on central sleep apnea with Cheyne-Stokes respiration pattern in chronic heart failure with reduced left-ventricular ejection fraction. EMBC 2019: 5723-5726 - [c36]Michael Klum, Fabian Leib, Casper Oberschelp, David Martens, Alexandru-Gabriel Pielmus, Timo Tigges, Thomas Penzel
Wearable Multimodal Stethoscope Patch for Wireless Biosignal Acquisition and Long-Term Auscultation. EMBC 2019: 5781-5785 - [c35]Graeme Lyon, Roxana Tiron, Alberto Zaffaroni, Ahmed Osman, Hannah Kilroy, Katharina Lederer, Ingo Fietze
Detection of Sleep Apnea Using Sonar Smartphone Technology. EMBC 2019: 7193-7196 - 2018
- [c34]Mostafa Ali Shahin
A Two Stage Approach for the Automatic Detection of Insomnia. EMBC 2018: 466-469 - [c33]Maksym Gaiduk
Sensor-Mesh-Based System with Application on Sleep Study. IWBBIO (2) 2018: 371-382 - 2017
- [j15]Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel
Multicenter data sharing for collaboration in sleep medicine. Future Gener. Comput. Syst. 67: 466-480 (2017) - [j14]Christoph Fischer, Benno Domer, Thomas Wibmer, Thomas Penzel
An Algorithm for Real-Time Pulse Waveform Segmentation and Artifact Detection in Photoplethysmograms. IEEE J. Biomed. Health Informatics 21(2): 372-381 (2017) - [j13]Mostafa Ali Shahin
Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis. IEEE J. Biomed. Health Informatics 21(6): 1546-1553 (2017) - [c32]Shirin Riazy, Tilo Wendler, Jürgen Pilz, Martin Glos, Thomas Penzel
Heuristic Approximation of the MAP Estimator for Automatic Two-channel Sleep Staging. BIOSIGNALS 2017: 236-241 - [c31]Thomas Penzel
Development of methods for sleep disordered breathing to identify phenotypes. EMBC 2017: 1764-1767 - [c30]Sobhan Salari Shahrbabaki
Blood pressure and cardiovascular parameters during sleep arousals. EMBC 2017: 2830-2833 - [c29]Lamana Mulaffer, Mostafa Ali Shahin
Comparing two insomnia detection models of clinical diagnosis techniques. EMBC 2017: 3749-3752 - 2016
- [j12]Dirk Sommermeyer, Ding Zou, Joachim H. Ficker
Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm. Medical Biol. Eng. Comput. 54(7): 1111-1121 (2016) - [j11]Ramiro Chaparro-Vargas, Beena Ahmed
Insomnia Characterization: From Hypnogram to Graph Spectral Theory. IEEE Trans. Biomed. Eng. 63(10): 2211-2219 (2016) - [c28]Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel
How many sleep stages do we need for an efficient automatic insomnia diagnosis? EMBC 2016: 2431-2434 - [c27]Sobhan Salari Shahrbabaki
Photoplethysmography derivatives and pulse transit time in overnight blood pressure monitoring. EMBC 2016: 2855-2858 - [c26]Sobhan Salari Shahrbabaki
Pulse transit time and heart rate variability in sleep staging. EMBC 2016: 3469-3472 - 2015
- [j10]Antonio G. Ravelo-García
Oxygen Saturation and RR Intervals Feature Selection for Sleep Apnea Detection. Entropy 17(5): 2932-2957 (2015) - [c25]Maximilian Beier, Christoph Jansen, Geert Mayer, Thomas Penzel
Multicenter Data Sharing for Collaboration in Sleep Medicine. CCGRID 2015: 880-889 - [c24]Ramiro Chaparro-Vargas, Beena Ahmed
Characterising insomnia: A graph spectral theory approach. EMBC 2015: 366-369 - [c23]Chanakya Reddy Patti, Thomas Penzel
Automated sleep spindle detection using IIR filters and a Gaussian Mixture Model. EMBC 2015: 610-613 - [c22]Priyanka Madhushri
Periodic leg movement (PLM) monitoring using a distributed body sensor network. EMBC 2015: 1837-1840 - [c21]Ramiro Chaparro-Vargas, Beena Ahmed
Searching arousals: A fuzzy logic approach. EMBC 2015: 2754-2757 - [c20]Sana Tmar-Ben Hamida, Thomas Penzel
EEG time and frequency domain analyses of primary insomnia. EMBC 2015: 6206-6209 - [c19]Sana Tmar-Ben Hamida, Beena Ahmed
A novel insomnia identification method based on Hjorth parameters. ISSPIT 2015: 548-552 - 2014
- [j9]Björn Krüger, Anna Vögele, Marouane Lassiri, Lukas Herwartz, Thomas Terkatz, Andreas Weber, Carmen Garcia, Ingo Fietze, Thomas Penzel:
Sleep Detection Using De-identified Depth Data. J. Mobile Multimedia 10(3&4): 327-342 (2014) - [j8]Chandan K. Karmakar
Detection of Respiratory Arousals Using Photoplethysmography (PPG) Signal in Sleep Apnea Patients. IEEE J. Biomed. Health Informatics 18(3): 1065-1073 (2014) - [c18]Björn Krüger
Sleep Detection Using a Depth Camera. ICCSA (1) 2014: 824-835 - 2013
- [j7]Dagmar Krefting
Grid based sleep research - Analysis of polysomnographies using a grid infrastructure. Future Gener. Comput. Syst. 29(7): 1671-1679 (2013) - [j6]Daniel Álvarez
Assessment of Feature Selection and Classification Approaches to Enhance Information from overnight oximetry in the Context of Apnea Diagnosis. Int. J. Neural Syst. 23(5) (2013) - [c17]Niels Wessel
Synchronisation and coupling analysis: Applied cardiovascular physics in sleep medicine. EMBC 2013: 6567-6570 - [c16]Thomas Penzel
Estimating sleep disordered breathing based on heart rate analysis. EMBC 2013: 6571-6574 - [c15]Ahsan H. Khandoker
Estimating relative respiratory effort from features of photo-plethysmography signal. EMBC 2013: 6575-6578 - 2012
- [j5]Thomas Penzel
Effect of CPAP therapy on daytime cardiovascular regulations in patients with obstructive sleep apnea. Comput. Biol. Medicine 42(3): 328-334 (2012) - [j4]Karl Kesper, Sebastian Canisius
ECG signal analysis for the assessment of sleep-disordered breathing and sleep pattern. Medical Biol. Eng. Comput. 50(2): 135-144 (2012) - [c14]Niels Wessel, Maik Riedl, Hagen Malberg, Thomas Penzel, Jürgen Kurths:
Symbolic Coupling Traces for Coupling Analyses of Medical Time Series. Bildverarbeitung für die Medizin 2012: 69-74 - [c13]Dagmar Krefting
Personal health systems for diagnostics of sleep disorders using new sensors and grid technology. DEST 2012: 1-6 - 2011
- [c12]Thomas Penzel
Cardiovascular and respiratory regulation during sleep in patients with sleep apnea with and without hypertension. EMBC 2011: 1475-1478 - [c11]Niels Wessel
Symbolic coupling traces for causality analysis of cardiovascular control. EMBC 2011: 5935-5938 - [c10]Thomas Penzel
The SIESTA database and the SIESTA sleep analyzer. EMBC 2011: 8323-8326 - [c9]Daniel Álvarez
Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis. ISDA 2011: 920-924 - [c8]Isabella von Mengden, Carmen Garcia, Martin Glos, Thomas Penzel
Influence of Slow Oscillating Transcranial Current Stimulation (so-tCS) on Electroencephalogram and Cognitive Performance. FET 2011: 209-211
2000 – 2009
- 2009
- [j3]Martín O. Méndez, Anna M. Bianchi
Sleep Apnea Screening by Autoregressive Models From a Single ECG Lead. IEEE Trans. Biomed. Eng. 56(12): 2838-2850 (2009) - [c7]Dagmar Krefting
Grid-Based Sleep Research: Analysis of Polysomnographies Using a Grid Infrastructure. CCGRID 2009: 502-507 - [c6]Sebastian Canisius, Thomas Penzel
Application of Grid technology for automated detection of sleep disordered breathing. HealthGrid 2009: 22-30 - 2007
- [c5]Sebastian Canisius, Thomas Ploch, Karl Kesper, Matthew Smith, Bernd Freisleben, Thomas Penzel:
Sleep Medicine as a Scenario for Medical Grid Application. HealthGrid 2007: 37-46 - 2006
- [c4]Stavroula Maglavera
SENSATION remote monitoring system for enabling the "anytime, anywhere" monitoring of patients with selected sleep disorders. EMBC 2006: 3869-3872 - [c3]Brigitte Knobl, Teresa Paiva, Dieter Jungmann, Rico Böhme, Thomas Penzel:
ENN-ICS - Implementation and Evaluation of a Multilingual Learning Management System for Sleep Medicine in Europe. MIE 2006: 905-910 - 2003
- [j2]Thomas Penzel
Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea. IEEE Trans. Biomed. Eng. 50(10): 1143-1151 (2003) - 2001
- [j1]Gabriela Guimarães, Jörg-Hermann Peter, Thomas Penzel
A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders. Artif. Intell. Medicine 23(3): 211-237 (2001) - [c2]Christoph Zywietz, Thomas Penzel
Quality Assurance in Biosignal Processing and Evaluation of Physiological Analysis Systems. MedInfo 2001: 1543
1990 – 1999
- 1996
- [c1]Thomas Penzel, Teresa Paiva, Christian Guilleminault:
Europäisches Neurologisches Netzwerk (ENN). GMDS 1996: 279-282 - 1991
- [b1]Thomas Penzel:
Entwicklung und Anwendung eines computergestützten Apnoeerkennungsverfahrens anhand des nasalen Luftflusses und der Sauerstoffsättigung. University of Marburg, Germany, 1991, pp. 1-86
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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