Heart sound cancellation from lung sound recordings using recurrence time statistics and nonlinear prediction. - Christer Ahlström; O. Liljefeldt; Peter Hult; Per Ask (IEEE Signal Process. Lett., 2005)

Detection of the 3rdHeart Sound Using Recurrence Time Statistics. - Christer Ahlström; Peter Hult; Per Ask (ICASSP (2), 2006)

Thresholding Distance Plots Using True Recurrence Points. - Christer Ahlström; Peter Hult; Per Ask (ICASSP (3), 2006)

Pulse wave transit time for monitoring respiration rate. - A. Johansson; Christer Ahlström; T. Lanne; Per Ask (Medical Biol. Eng. Comput., 2006)

Assessing Aortic Stenosis Using Sample Entropy of the Phonocardiographic Signal in Dogs. - Christer Ahlström; Katja Hoglund; Peter Hult; Jens Haggstrom; Clarence Kvart; Per Ask (IEEE Trans. Biomed. Eng., 2008)

Comparison of eye tracking systems with one and three cameras. - Christer Ahlström; Tania Dukic (MB, 2010)

Review of real-time visual driver distraction detection algorithms. - Christer Ahlström; Katja Kircher (MB, 2010)

Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets. - Christer Ahlström; Trent Victor; Claudia Wege; Erik Steinmetz (IEEE Trans. Intell. Transp. Syst., 2012)

A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior. - Christer Ahlström; Katja Kircher; Albert Kircher (IEEE Trans. Intell. Transp. Syst., 2013)

Minimum Required Attention: A Human-Centered Approach to Driver Inattention. - Katja Kircher; Christer Ahlström (Hum. Factors, 2017)

A Generalized Method to Extract Visual Time-Sharing Sequences From Naturalistic Driving Data. - Christer Ahlström; Katja Kircher (IEEE Trans. Intell. Transp. Syst., 2017)

Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods. - Licínio Oliveira; Jaime S. Cardoso 001; André Lourenço; Christer Ahlström (EUVIP, 2018)

Bicyclists' adaptation strategies when interacting with text messages in urban environments. - Sara Nygårdhs; Christer Ahlström; Jonas Ihlström; Katja Kircher (Cogn. Technol. Work., 2018)

Performance of an Additional Task During Level 2 Automated Driving: An On-Road Study Comparing Drivers With and Without Experience With Partial Automation. - Ignacio Solís-Marcos; Christer Ahlström; Katja Kircher (Hum. Factors, 2018)

Automated EEG Artifact Handling With Application in Driver Monitoring. - Shaibal Barua; Mobyen Uddin Ahmed; Christer Ahlström; Shahina Begum; Peter Funk 001 (IEEE J. Biomed. Health Informatics, 2018)

Heart Rate Variability for Driver Sleepiness Classification in Real Road Driving Conditions. - Anna Persson; Hanna Jonasson; Ingemar Fredriksson; Urban Wiklund; Christer Ahlström (EMBC, 2019)

Automatic driver sleepiness detection using EEG, EOG and contextual information. - Shaibal Barua; Mobyen Uddin Ahmed; Christer Ahlström; Shahina Begum (Expert Syst. Appl., 2019)

Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving. - Henrik Martensson; Oliver Keelan; Christer Ahlström (IEEE Trans. Intell. Transp. Syst., 2019)

Using smartphone logging to gain insight about phone use in traffic. - Christer Ahlström; Jesper Wachtmeister; Mattias Nyman; Axel Nordenström; Katja Kircher (Cogn. Technol. Work., 2020)

Effects of training on truck drivers' interaction with cyclists in a right turn. - Katja Kircher; Christer Ahlström; Jonas Ihlström; Tatu Ljokkoi; John Culshaw (Cogn. Technol. Work., 2020)

On the Difference Between Necessary and Unnecessary Glances Away From the Forward Roadway: An Occlusion Study on the Motorway. - Katja Kircher; Tuomo Kujala; Christer Ahlström (Hum. Factors, 2020)

Attentional Demand as a Function of Contextual Factors in Different Traffic Scenarios. - Zhuofan Liu; Christer Ahlström; Åsa Forsman; Katja Kircher (Hum. Factors, 2020)

Heart Rate Variability for Classification of Alert Versus Sleep Deprived Drivers in Real Road Driving Conditions. - Anna Persson; Hanna Jonasson; Ingemar Fredriksson; Urban Wiklund; Christer Ahlström (IEEE Trans. Intell. Transp. Syst., 2021)

Technologies for Risk Mitigation and Support of Impaired Drivers. - Christer Ahlström; Frederik Diederichs; Daniel Teichmann (IEEE Trans. Intell. Transp. Syst., 2022)

Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm. - Christer Ahlström; George Georgoulas; Katja Kircher (IEEE Trans. Intell. Transp. Syst., 2022)

Real-Time Adaptation of Driving Time and Rest Periods in Automated Long-Haul Trucking: Development of a System Based on Biomathematical Modelling, Fatigue and Relaxation Monitoring. - Christer Ahlström; Wessel van Leeuwen; Stas S. Krupenia; Herman Jansson; Svitlana Finér; Anna Anund; Göran Kecklund (IEEE Trans. Intell. Transp. Syst., 2022)

A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions. - Bram Bakker; Bartosz Zablocki; Angela Baker; Vanessa Riethmeister; Bernd Marx; Girish Iyer; Anna Anund; Christer Ahlström (IEEE Trans. Intell. Transp. Syst., 2022)

A Review of Occlusion as a Tool to Assess Attentional Demand in Driving. - Tuomo Kujala; Katja Kircher; Christer Ahlström (Hum. Factors, 2023)

Fit for Duty Assessment of Driver Fatigue based on Statistical Modelling of Cardiovascular Parameters. - Ciara Picher; Martin Bachler; Christer Ahlström; Christopher C. Mayer; Bernhard Hametner (Simul. Notes Eur., 2023)

Predicting Alcohol Intoxication Using Eye-Tracking Metrics When Reading Instructions. - Raimondas Zemblys; Christer Ahlström (ETRA, 2025)