A clinical evaluation of a low-cost strain gauge respiration belt and machine learning to detect sleep apnea
Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, Vera Goebel et autres
21 citationsSmart Health
Stein Kristiansen
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40Publications signalées
360Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Obstructive Sleep Apnea ResearchSoftware-Defined Networks and 5GContext-Aware Activity Recognition SystemsAnomaly Detection Techniques and ApplicationsNetwork Traffic and Congestion Control
Publications récentes
My Health Sensor, My Classifier – Adapting a Trained Classifier to Unlabeled End-User Data
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel et autres
1 citationACM Transactions on Computing for Healthcare
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel et autres
0 citations
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel et autres
5 citationsJournal of Artificial Intelligence Research
Evaluating a Low-Cost Strain Gauge Breathing Sensor for Sleep Apnea Detection at Home
Stein Kristiansen, Morten Hamborg Andersen, Vera Goebel, Thomas Plagemann et autres
4 citations
Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home
Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, Vera Goebel et autres
37 citationsACM Transactions on Computing for Healthcare
Improving the accuracy of timing in scalable WSN simulations with communication software execution models
Espen Volnes, Stein Kristiansen, Thomas Plagemann
10 citationsComputer Networks
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, Vera Goebel et autres
3 citationsarXiv (Cornell University)
Using Under-Trained Deep Ensembles to Learn Under Extreme Label Noise: A Case Study for Sleep Apnea Detection
Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel et autres
7 citationsIEEE Access
EXPOSE: Experimental Performance Evaluation of Stream Processing Engines Made Easy
Espen Volnes, Thomas Plagemann, Vera Goebel, Stein Kristiansen
2 citationsLecture notes in computer science
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Konstantinos Nikolaidis, Thomas Plagemann, Stein Kristiansen, Vera Goebel et autres
0 citationsarXiv (Cornell University)
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data
Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel et autres
0 citationsarXiv (Cornell University)
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