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Helge B. D. Sørensen
Helge Bjarup Dissing Sørensen
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2020 – today
- 2024
- [j13]Mads Olsen
, Jamie M. Zeitzer
A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies. IEEE Trans. Biomed. Eng. 71(8): 2506-2517 (2024) - 2023
- [j12]Luna Fabricius Ekenberg, Dan Eik Høfsten, Søren M. Rasmussen
Wireless Single-Lead versus Standard 12-Lead ECG, for ST-Segment Deviation during Adenosine Cardiac Stress Scintigraphy. Sensors 23(6): 2962 (2023) - [j11]Mads Olsen
A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography. IEEE Trans. Biomed. Eng. 70(1): 228-237 (2023) - [j10]Alexander Neergaard Zahid
MSED: A Multi-Modal Sleep Event Detection Model for Clinical Sleep Analysis. IEEE Trans. Biomed. Eng. 70(9): 2508-2518 (2023) - [j9]Katarina Mary Gunter, Andreas Brink-Kjær, Emmanuel Mignot, Helge B. D. Sørensen, Emmanuel During, Poul Jennum:
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior Disorder. IEEE J. Biomed. Health Informatics 27(9): 4285-4292 (2023) - [c72]Andreas Brink-Kjaer
Fully Automated Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Using Actigraphy. EMBC 2023: 1-5 - [c71]Andreas Grønbech Petersen, Magnus Ruud Kjær, Helge B. D. Sørensen:
Remote Estimation of Peripheral Oxygen Saturation and Pulse Rate From Facial Analysis Using a Smartphone Camera. EMBC 2023: 1-4 - 2022
- [j8]Ævar Örn Kristinsson, Ying Gu
Prediction of serious outcomes based on continuous vital sign monitoring of high-risk patients. Comput. Biol. Medicine 147: 105559 (2022) - [j7]Andreas Brink-Kjaer
Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit. Medicine 5 (2022) - [c70]Søren M. Rasmussen
Forecasting of Continuous Vital Sign Using Multivariate Auto-Regressive Models. EMBC 2022: 385-388 - [c69]Leon Mayer, Søren M. Rasmussen
Prediction of Serious Adverse Events from Nighttime Vital Signs Values. EMBC 2022: 2631-2634 - [c68]Andreas Brink-Kjaer
End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior Disorder. EMBC 2022: 2941-2944 - [c67]Asbjoern W. Helge, Umaer Hanif
Detection of Cheyne-Stokes Breathing using a transformer-based neural network. EMBC 2022: 4580-4583 - 2021
- [j6]Umaer Hanif
Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans. IEEE J. Biomed. Health Informatics 25(11): 4185-4194 (2021) - [c66]Villads Hulgaard Joergensen, Umaer Hanif
Automatic Segmentation to Cluster Patterns of Breathing in Sleep Apnea. EMBC 2021: 164-168 - [c65]Ying Gu
Prediction of severe adverse event from vital signs for post-operative patients. EMBC 2021: 971-974 - [c64]Søren M. Rasmussen
Semi-Supervised Analysis of the Electrocardiogram Using Deep Generative Models. EMBC 2021: 1124-1127 - [c63]Magnus Ruud Kjær, Andreas Brink-Kjær, Umaer Hanif
Polysomnographic Plethysmography Excursions are Reduced in Obese Elderly Men. EMBC 2021: 2396-2399 - [c62]Umaer Hanif
Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks*. EMBC 2021: 3957-3960 - [i7]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
MSED: a multi-modal sleep event detection model for clinical sleep analysis. CoRR abs/2101.02530 (2021) - 2020
- [c61]Alexander Neergaard Olesen
Deep transfer learning for improving single-EEG arousal detection. EMBC 2020: 99-103 - [c60]Andreas Brink-Kjaer
Predicting Age with Deep Neural Networks from Polysomnograms. EMBC 2020: 146-149 - [c59]Umaer Hanif
Prediction of Patient Demographics using 3D Craniofacial Scans and Multi-view CNNs. EMBC 2020: 1950-1953 - [i6]Alexander Neergaard Olesen
Deep transfer learning for improving single-EEG arousal detection. CoRR abs/2004.05111 (2020) - [i5]Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. CoRR abs/2008.09416 (2020)
2010 – 2019
- 2019
- [c58]Alexander Neergaard Olesen
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. EMBC 2019: 556-561 - [c57]Matteo Cesari
A Clinically Applicable Interactive Micro and Macro-Sleep Staging Algorithm for Elderly and Patients with Neurodegeneration. EMBC 2019: 3649-3652 - [i4]Alexander Neergaard Olesen, Stanislas Chambon, Valentin Thorey, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. CoRR abs/1905.08059 (2019) - [i3]Andreas Brink-Kjaer, Alexander Neergaard Olesen, Paul E. Peppard, Katie L. Stone, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. CoRR abs/1906.01700 (2019) - 2018
- [j5]Rasmus Munch Olsen, Eske Kvanner Aasvang
Towards an automated multimodal clinical decision support system at the post anesthesia care unit. Comput. Biol. Medicine 101: 15-21 (2018) - [c56]Alexander Neergaard Olesen
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. EMBC 2018: 1-4 - [c55]Matteo Cesari
Probabilistic Data-Driven Method for Limb Movement Detection during Sleep. EMBC 2018: 163-166 - [c54]Mathias P. Bonnesen, Helge B. D. Sørensen
Mobile Apnea Screening System for at-home Recording and Analysis of Sleep Apnea Severity. EMBC 2018: 457-460 - [c53]Aske B. Klok, Joakim Edin
A New Fully Automated Random-Forest Algorithm for Sleep Staging. EMBC 2018: 4920-4923 - [c52]Markus Waser
A Blind Source-Based Method for Automated Artifact-Correction in Standard Sleep EEG. EMBC 2018: 6010-6013 - [i2]Alexander Neergaard Olesen, Poul Jennum, Paul E. Peppard, Emmanuel Mignot, Helge Bjarup Dissing Sørensen:
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. CoRR abs/1810.03745 (2018) - 2017
- [c51]Adnan Vilic, John Asger Petersen, Troels Wienecke
Queue-based modelling and detection of parameters involved in stroke outcome. EMBC 2017: 2578-2581 - [c50]Markus Waser
A flexible method for the automated offline-detection of artifacts in multi-channel electroencephalogram recordings. EMBC 2017: 3793-3796 - [i1]Jens B. Stephansen, Aditya Ambati, Eileen B. Leary, Hyatt E. Moore IV, Oscar Carrillo, Ling Lin, Birgit Högl, Ambra Stefani, Seung Chul Hong, Tae Won Kim, Fabio Pizza, Giuseppe Plazzi, Stefano Vandi, Elena Antelmi, Dimitri Perrin, Samuel T. Kuna, Paula K. Schweitzer, Clete Kushida, Paul E. Peppard, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. CoRR abs/1710.02094 (2017) - 2016
- [c49]Nicolai Westergren, Rasmus L. Bendtsen, Troels W. Kjær, Carsten E. Thomsen, Sadasivan Puthusserypady
Steady state visual evoked potential based brain-computer interface for cognitive assessment. EMBC 2016: 1508-1511 - [c48]Adnan Vilic, John Asger Petersen
Visualizing patient journals by combining vital signs monitoring and natural language processing. EMBC 2016: 2529-2532 - [c47]Alexander Neergaard Olesen
A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning. EMBC 2016: 3769-3772 - [c46]Matteo Cesari
Application of a new robust ECG T-wave delineation algorithm for the evaluation of the autonomic innervation of the myocardium. EMBC 2016: 3801-3804 - [c45]Martin Kjaer Guul, Poul Jennum, Helge B. D. Sørensen:
Portable prescreening system for sleep apnea. EMBC 2016: 4917-4920 - 2015
- [c44]Ingeborg H. Hansen
Comparing twelve-lead electrocardiography with close-to-heart patch based electrocardiography. EMBC 2015: 330-333 - [c43]Ali Mohebbi, Signe K. D. Engelsholm, Sadasivan Puthusserypady
A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential. EMBC 2015: 602-605 - [c42]Sissel Bisgaard, Bolette Duun-Christensen, Lykke Kempfner, Helge B. D. Sørensen
EEG recordings as a source for the detection of IRBD. EMBC 2015: 606-609 - [c41]Umaer Hanif
Quantification of muscle activity during sleep for patients with neurodegenerative diseases. EMBC 2015: 6002-6005 - 2014
- [c40]Kristine Carmes, Lykke Kempfner, Helge Bjarup Dissing Sørensen
Novel method for detection of Sleep Apnoea using respiration signals. EMBC 2014: 258-261 - [c39]Thomas Olund, Jonas Duun-Henriksen
Automatic detection and classification of artifacts in single-channel EEG. EMBC 2014: 922-925 - [c38]Sigge N. Larsen, Isa Conradsen, Sándor Beniczky
Detection of tonic epileptic seizures based on surface electromyography. EMBC 2014: 942-945 - [c37]George Tanev, Dorthe B. Saadi, Karsten Hoppe, Helge B. D. Sørensen
Classification of acute stress using linear and non-linear heart rate variability analysis derived from sternal ECG. EMBC 2014: 3386-3389 - [c36]Darius Adam Rohani
Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD. EMBC 2014: 3606-3609 - [c35]Julia Rosemary Thorpe
Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder. EMBC 2014: 4172-4175 - [c34]Gitte Bager, Kenan Vilic, Adnan Vilic, Jorgen Alving, Peter Wolf, Thomas Sams
Video surveillance of epilepsy patients using color image processing. EMBC 2014: 4751-4754 - [c33]Laerke K. Krohne, Rie B. Hansen
Detection of K-complexes based on the wavelet transform. EMBC 2014: 5450-5453 - [c32]Mehdi Ordikhani-Seyedlar, Helge B. D. Sørensen
SSVEP-modulation by covert and overt attention: Novel features for BCI in attention neuro-rehabilitation. EMBC 2014: 5462-5465 - [c31]Dorthe B. Saadi, Karsten Hoppe, Kenneth Egstrup, Poul Jennum, Helle K. Iversen
Automatic quality classification of entire electrocardiographic recordings obtained with a novel patch type recorder. EMBC 2014: 5639-5642 - 2013
- [j4]Darius A. Rohani
BCI using imaginary movements: The simulator. Comput. Methods Programs Biomed. 111(2): 300-307 (2013) - [c30]Julie A. E. Christensen
Classification of iRBD and Parkinson's disease patients based on eye movements during sleep. EMBC 2013: 441-444 - [c29]Adnan Vilic, Troels W. Kjær, Carsten E. Thomsen, Sadasivan Puthusserypady
DTU BCI speller: An SSVEP-based spelling system with dictionary support. EMBC 2013: 2212-2215 - [c28]Henriette Koch, Julie A. E. Christensen
Classification of iRBD and Parkinson's patients using a general data-driven sleep staging model built on EEG. EMBC 2013: 4275-4278 - [c27]Thomas Bender, Troels W. Kjær, Carsten E. Thomsen, Helge B. D. Sørensen
Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training. EMBC 2013: 4279-4282 - [c26]Katrine N. H. Petersen, Trine N. Nielsen, Troels W. Kjær, Carsten E. Thomsen, Helge B. D. Sørensen
Automatic characterization of dynamics in Absence Epilepsy. EMBC 2013: 4283-4286 - [c25]Jacob Kempfner, Poul Jennum, Miki Nikolic, Julie A. E. Christensen
SLEEP phenomena as an early biomarker for Parkinsonism. EMBC 2013: 5773-5776 - [c24]Jacob Kempfner, Poul Jennum, Helge B. D. Sørensen
Automatic SLEEP staging: From young aduslts to elderly patients using multi-class support vector machine. EMBC 2013: 5777-5780 - [c23]Ingeborg H. Hansen
Detection of a sleep disorder predicting Parkinson's disease. EMBC 2013: 5793-5796 - 2012
- [j3]Isa Conradsen, Sándor Beniczky
Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data. Comput. Methods Programs Biomed. 107(2): 97-110 (2012) - [j2]Isa Conradsen, Sándor Beniczky
Automated Algorithm for Generalized Tonic-Clonic Epileptic Seizure Onset Detection Based on sEMG Zero-Crossing Rate. IEEE Trans. Biomed. Eng. 59(2): 579-585 (2012) - [c22]Isa Conradsen, Sándor Beniczky
Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. EMBC 2012: 2048-2051 - [c21]Dorthe B. Nielsena, Kenneth Egstrup, Jens Branebjerg, Gunnar B. Andersen, Helge B. D. Sørensen
Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device. EMBC 2012: 2913-2916 - [c20]Julie A. E. Christensen
Separation of Parkinson's patients in early and mature stages from control subjects using one EOG channel. EMBC 2012: 2941-2944 - [c19]Jacob Kempfner, Poul Jennum, Miki Nikolic, Julie A. E. Christensen
Automatic detection of REM sleep in subjects without atonia. EMBC 2012: 4242-4245 - [c18]Sabrina Lyngbye Wendt
Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects. EMBC 2012: 4250-4253 - [c17]Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Rasmus Elsborg Madsen, Line S. Remvig, Carsten E. Thomsen, Helge B. D. Sørensen
Correlation between intra- and extracranial background EEG. EMBC 2012: 5198-5201 - 2011
- [c16]Tobias P. Steinmann, Colin M. Andrew, Carsten E. Thomsen, Troels W. Kjær, Ernesta M. Meintjes
An auditory Go/No-Go study of event-related potentials in children with fetal alcohol spectrum disorders. EMBC 2011: 789-792 - [c15]Gertrud Laura Sørensen, Jacob Kempfner, Poul Jennum, Helge B. D. Sørensen
Detection of arousals in Parkinson's disease patients. EMBC 2011: 2764-2767 - [c14]Eline B. Petersen, Jonas Duun-Henriksen, Andrea Mazzaretto, Troels W. Kjær, Carsten E. Thomsen, Helge B. D. Sørensen
Generic single-channel detection of absence seizures. EMBC 2011: 4820-4823 - [c13]Jacob Kempfner, Gertrud Laura Sørensen, Helge B. D. Sørensen
Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. EMBC 2011: 6063-6066 - [c12]Isa Conradsen, Sándor Beniczky
Seizure onset detection based on one sEMG channel. EMBC 2011: 7715-7718 - 2010
- [j1]Esben Vedel-Larsen, Jacob Fuglø, Fouad Channir, Carsten E. Thomsen, Helge B. D. Sørensen:
A comparative study between a simplified Kalman filter and Sliding Window Averaging for single trial dynamical estimation of event-related potentials. Comput. Methods Programs Biomed. 99(3): 252-260 (2010)
1990 – 1999
- 1997
- [c11]Helge B. D. Sørensen
Identification of mine-shaped objects based on an efficient phase stepped-frequency radar approach. ICIP (3) 1997: 142-145 - 1995
- [c10]Helge B. D. Sørensen
Discriminative training of self-structuring hidden control neural models. ICASSP 1995: 3379-3382 - 1994
- [c9]Helge B. D. Sørensen
Hybrid model decomposition of speech and noise in a radial basis function neural model framework. ICASSP (2) 1994: 657-660 - 1993
- [c8]Helge Bjarup Dissing Sørensen
Pi-sigma and hidden control based self-structuring models for text-independent speaker recognition. ICASSP (1) 1993: 537-540 - [c7]Helge B. D. Sørensen, Uwe Hartmann:
Robust speaker-independent speech recognition using non-linear spectral subtraction based IMELDA. EUROSPEECH 1993: 235-238 - 1992
- [c6]Helge B. D. Sørensen
Self-structuring hidden control neural model for speech recognition. ICASSP 1992: 353-356 - [c5]Helge B. D. Sørensen:
Context-dependent and -independent self-structuring hidden control models for speech recognition. ICSLP 1992: 471-474 - 1991
- [c4]Helge B. D. Sørensen:
A cepstral noise reduction multi-layer neural network. ICASSP 1991: 933-936 - [c3]Helge B. D. Sørensen, Uwe Hartmann:
A self-structuring neural noise reduction model. EUROSPEECH 1991: 567-570
1980 – 1989
- 1989
- [c2]Helge B. D. Sørensen, Paul Dalsgaard:
Multi-level segmentation of natural continuous speech using different auditory front-ends. EUROSPEECH 1989: 2079-2082 - 1987
- [c1]Helge B. D. Sørensen, Paul Dalsgaard:
Comparison of two frequency domain pitch detectors based on phonetic performance evaluation. ECST 1987: 1322
Coauthor Index
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last updated on 2024-08-23 18:35 CEST by the dblp team
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