Martin Glos

According to our database, Martin Glos authored at least 20 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.

Yaopeng J. X. Ma, Johannes Zschocke, Martin Glos, Maria Kluge, Thomas Penzel, Jan W. Kantelhardt, Ronny P. Bartsch

Comput. Biol. Medicine, September, 2023

2022

Estimation of Sleep Stages Analyzing Respiratory and Movement Signals.

Maksym Gaiduk, Juan José Perea, Ralf Seepold, Natividad Martínez Madrid, Thomas Penzel, Martin Glos, Juan Antonio Ortega

IEEE J. Biomed. Health Informatics, 2022

Reconstruction of Pulse Wave and Respiration From Wrist Accelerometer During Sleep.

Johannes Zschocke, Julian Leube, Martin Glos, Oxana Semyachkina-Glushkovskaya, Thomas Penzel, Ronny P. Bartsch, Jan W. Kantelhardt

IEEE Trans. Biomed. Eng., 2022

2021

3D Camera and Pulse Oximeter for Respiratory Events Detection.

Carmina Reyes-Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Klösch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel

IEEE J. Biomed. Health Informatics, 2021

Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking.

Lucas Weber, Maksym Gaiduk, Ralf Seepold, Natividad Martínez Madrid, Martin Glos, Thomas Penzel

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sleep Apnea & Chronic Obstructive Pulmonary Disease: Overlap Syndrome Dynamics in Patients from an Epidemiological Study.

Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Martin Glos, Ingo Fietze, Thomas Penzel, Raimon Jané

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals.

Hisham ElMoaqet, Mohammad Eid, Martin Glos, Mutaz Ryalat, Thomas Penzel

Sensors, 2020

Distinguish Obstructive and Central Sleep Apnea by Portable Peripheral Arterial Tonometry^*.

Thomas Penzel, Martin Glos, Ingo Fietze, Sebastian Herberger, Giora Pillar

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models.

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

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Recognition of Sleep/Wake States analyzing Heart Rate, Breathing and Movement Signals.

Maksym Gaiduk, Ralf Seepold, Thomas Penzel, Juan Antonio Ortega, Martin Glos, Natividad Martínez Madrid

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis.

Mostafa Ali Shahin, Beena Ahmed, Sana Tmar-Ben Hamida, Fathima Lamana Mulaffer, Martin Glos, Thomas Penzel

IEEE J. Biomed. Health Informatics, 2017

Development of methods for sleep disordered breathing to identify phenotypes.

Thomas Penzel, Christoph Schöbel, Martin Glos, Lisa Schwarz, Lisa Prochnow, Ingo Fietze

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Comparing two insomnia detection models of clinical diagnosis techniques.

Lamana Mulaffer, Mostafa Ali Shahin, Martin Glos, Thomas Penzel, Beena Ahmed

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Heuristic Approximation of the MAP Estimator for Automatic Two-channel Sleep Staging.

Shirin Riazy, Tilo Wendler, Jürgen Pilz, Martin Glos, Thomas Penzel

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

How many sleep stages do we need for an efficient automatic insomnia diagnosis?

Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2013

Assessment of Feature Selection and Classification Approaches to Enhance Information from overnight oximetry in the Context of Apnea Diagnosis.

Daniel Álvarez, Roberto Hornero, J. Víctor Marcos, Niels Wessel, Thomas Penzel, Martin Glos, Félix del Campo

Int. J. Neural Syst., 2013

Estimating sleep disordered breathing based on heart rate analysis.

Thomas Penzel, Martin Glos, Christoph Schöbel, Sara Lal, Ingo Fietze

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Estimating relative respiratory effort from features of photo-plethysmography signal.

Ahsan H. Khandoker, Chandan K. Karmakar, Thomas Penzel, Martin Glos, Christoph Schöbel, Marimuthu Palaniswami

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

Influence of Slow Oscillating Transcranial Current Stimulation (so-tCS) on Electroencephalogram and Cognitive Performance.

Isabella von Mengden, Carmen Garcia, Martin Glos, Thomas Penzel

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

The SIESTA database and the SIESTA sleep analyzer.

Thomas Penzel, Martin Glos, Carmen Garcia, Christoph Schöbel, Ingo Fietze

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011