Ambulatory Heartbeat-Based Psycho-Mental Strain Monitoring
Authors: Matthias Weippert 1, Mohit Kumar 2, Annika Rieger 1, Steffi Kreuzfeld 1, Sebastian Neubert 3, Sabine Behrendt 1, Regina Stoll 1
1) University of Rostock, Institute of Preventive Medicine
2)University of Rostock, Institute of Automation
3)Center for life science automation, University of Rostock
Currently only a small number of physiological measures have the potential for ambulatory/in-field stress detection and monitoring. Among them especially heart rate (HR) and its variability (HRV) are of the most preferred parameters due to their simple, robust, permanent and non-invasive acquisition. Nevertheless researchers still face a lot of challenges when estimating psycho-mental strain in an ambulatory setting. These challenges arise from the presence of multiple confounders like measurement artifacts, orthostatic and metabolic variances and individual response patterns as well as sometimes poor agreement of subjective reports and physiological states. We introduce a fuzzy-model based approach for mental strain estimation and validated the model output against subjective measurements.
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