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MobileDNA: Relating Physiological Stress Measurements to Smartphone Usage to Assess the Effect of a Digital Detox.

, , , , , , , , , , and . HCI (29), volume 851 of Communications in Computer and Information Science, page 356-363. Springer, (2018)

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Comparison of Machine Learning Techniques for Psychophysiological Stress Detection., , , , , , , and . MindCare, volume 604 of Communications in Computer and Information Science, page 13-22. Springer, (2015)Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings., , and . IEEE J. Biomed. Health Informatics, 23 (2): 463-473 (2019)Artefact detection and quality assessment of ambulatory ECG signals., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2019)Large-scale wearable data reveal digital phenotypes for daily-life stress detection., , , , , , , , , and 2 other author(s). npj Digit. Medicine, (2018)MobileDNA: Relating Physiological Stress Measurements to Smartphone Usage to Assess the Effect of a Digital Detox., , , , , , , , , and 1 other author(s). HCI (29), volume 851 of Communications in Computer and Information Science, page 356-363. Springer, (2018)Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment., , and . HEALTHINF, page 375-379. SciTePress, (2019)978-989-758-353-7.Unsupervised Learning for Mental Stress Detection - Exploration of Self-organizing Maps., , , , , , and . BIOSIGNALS, page 26-35. SciTePress, (2018)