The SIESTA database and the SIESTA sleep analyzer. - Thomas Penzel; Martin Glos; Carmen Garcia; Christoph Schöbel; Ingo Fietze (EMBC, 2011)

Influence of Slow Oscillating Transcranial Current Stimulation (so-tCS) on Electroencephalogram and Cognitive Performance. - Isabella von Mengden; Carmen Garcia; Martin Glos; Thomas Penzel (FET, 2011)

Estimating relative respiratory effort from features of photo-plethysmography signal. - Ahsan H. Khandoker; Chandan K. Karmakar; Thomas Penzel; Martin Glos; Christoph Schöbel; Marimuthu Palaniswami (EMBC, 2013)

Estimating sleep disordered breathing based on heart rate analysis. - Thomas Penzel; Martin Glos; Christoph Schöbel; Sara Lal; Ingo Fietze (EMBC, 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)

How many sleep stages do we need for an efficient automatic insomnia diagnosis? - Sana Tmar-Ben Hamida; Martin Glos; Thomas Penzel; Beena Ahmed (EMBC, 2016)

Heuristic Approximation of the MAP Estimator for Automatic Two-channel Sleep Staging. - Shirin Riazy; Tilo Wendler; Jürgen Pilz; Martin Glos; Thomas Penzel (BIOSIGNALS, 2017)

Comparing two insomnia detection models of clinical diagnosis techniques. - Lamana Mulaffer; Mostafa Ali Shahin; Martin Glos; Thomas Penzel; Beena Ahmed (EMBC, 2017)

Development of methods for sleep disordered breathing to identify phenotypes. - Thomas Penzel; Christoph Schöbel; Martin Glos; Lisa Schwarz; Lisa Prochnow; Ingo Fietze (EMBC, 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)

Recognition of Sleep/Wake States analyzing Heart Rate, Breathing and Movement Signals. - Maksym Gaiduk; Ralf Seepold; Thomas Penzel; Juan Antonio Ortega 001; Martin Glos; Natividad Martínez Madrid (EMBC, 2019)

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; et al. (APSIPA, 2020)

Distinguish Obstructive and Central Sleep Apnea by Portable Peripheral Arterial Tonometry*. - Thomas Penzel; Martin Glos; Ingo Fietze; Sebastian Herberger; Giora Pillar (EMBC, 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)

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 (EMBC, 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 (EMBC, 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; et al. (IEEE J. Biomed. Health Informatics, 2021)

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)

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 001 (IEEE J. Biomed. Health Informatics, 2022)

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, 2023)

Using Ensemble Methods to Predict End of Apnea Episodes with EEG Signals. - Hisham ElMoaqet; Abdullah Ahmed; Matthew Salanitro; Martin Glos; Thomas Penzel (EUROCON, 2025)

Cross-Granular Collaborative Recognition of Cortical Arousal and Sleep Stages From Photoplethysmography. - Yamei Li; Jing Li; Xinyu Sun; Martin Glos; Yuan Zhang 007; Thomas Penzel (IEEE Trans. Biomed. Eng., 2025)