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Recording of heart rate variability (HRV) is a noninvasive and continuous measurement method that allows investigating the autonomic nervous system (ANS) and its reaction to environmental influences. For a precise measurement of HRV data, a carefully chosen study design and environment is required to minimize secondary influences. One major influence to be avoided is movement. However, in the daily routine and for some scientific questions, movement can often not be avoided. If so, a manual or automated method to differentiate between artifacts caused by body movement and the actual psychophysiological effect is needed to ensure the data quality. In this approach, a chest-worn sensor was developed, that measures the heart rate using a single lead ECG and filters the measured change of the HRV caused by movement. Data from an integrated accelerometer is used to detect upper body movements that affect the resting heart rate. The movementcorresponding time stamps are then used to filter the Interbeat Intervals (IBI) accordingly. Functionality and effectiveness of the sensor system have been tested against state-of-the art sports- or clinical devices in varying scenarios. As our test series showed, motion filtering has a decisive effect when motion occurs, two-thirds of all cases showed a significant effect of motion filtering, with small to medium effect sizes for the parameters SD2, SD2/SD1, and SDNN. Thereby, automatic filtering of motion artifacts can help to significantly reduce the need for costly post-processing of distorted data sets. The results show a better data quality of HRV measurement, a method that is commonly used for the investigation of physiological processes in the field of chronic pain, psychology, psychiatry, or sports medicine.

The benefits of mindfulness for a variety of clinical and nonclinical populations are well established and there is growing interest in the potential of mindfulness in higher education. This article reports on the results from a randomized wait-list controlled study of Mindfulness-Based Coping With University Life (MBCUL), an adaption of Mindfulness-Based Stress Reduction (MBSR) for university students. MBCUL is an 8-week program, which aims to help students bring mindful awareness to their academic work, stress management, approach to communication and relationships, and health. Participants were recruited from the general student body at the University of Northampton (United Kingdom) and were randomized into mindfulness or control groups. The mean age for students in the combined MBCUL group was M = 25.07, SD = 8.25 (18-50), and M = 28, SD = 7.26 (20-41) in the control group. A significant decrease in anxiety, F(1, 21) = 7.82, p = 0.01; depression, F(1, 22) = 4.15, p = 0.05; and perceived stress, F(1, 22) = 9.65, p = 0.01, was found in the MBCUL group compared with controls. Similarly, a significant increase in mindfulness was found in the MBCUL, F(1, 20) = 16.32, p = 0.001, compared with controls. Attrition was high, and the small numbers limit the generalizability of the data. However, the results suggest that MBCUL is an acceptable, useful mindfulness program for university students, which warrants further investigation with larger samples.

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