Psychological and Psychophysiological Ambulatory Monitoring
Abstract
Abstract. Ambulatory assessment targets capturing psychological, behavioral, and physiological data in “real time” using in-field data acquisition systems. Although ambulatory assessment research has flourished particularly in the last decades, overviews on hardware and software solutions for monitoring are scarce, and - if found - are often outdated. In this review, we give an overview of current software and hardware solutions, focusing on multichannel systems for physiological data acquisition and hand-held computer based “experience sampling” systems. We aim at offering the reader guidance with regard to their choice of psychological and physiological monitoring solutions, giving special emphasis to key features relevant for different research questions.
References
Barrett, L.F. Barrett, D.J. (2001). An introduction to computerized experience sampling in psychology. Social Science Computer Review, 19, 175– 185Barrett, L.F. Barrett, D.J. (2005). ESP, the experience sampling program . Retrieved March 1, 2007, from www.experience-sampling.orgConner Christensen, T. Feldman Barrett, L. Bliss-Moreau, E. Lebo, K. Kaschub, C. (2003). A practical guide to experience-sampling procedures. Journal of Happiness Studies, 4, 53– 78Consolvo, S. Walker, M. (2004). Using the experience sampling method to evaluate ubicomp applications. IEEE Pervasive Computing Mobile and Ubiquitous Systems: The Human Experience, 2, 24– 31Csikszentmihalyi, M. Larson, R. (1987). Validity and reliability of the experience sampling method. Journal of Nervous and Mental Disease, 175, 526– 536de Vries, S.I. Bakker, I. Hopman-Rock, M. Hirasing, R.A. van Mechelen, W. (2006). Clinimetric review of motion sensors in children and adolescents. Journal of Clinical Epidemiology, 59, 670– 680Ebner-Priemer, U.W. (2006). Current literature searches on ambulatory assessment research . Retrieved March 01, 2007, from www.ambulatory-assessment.orgEbner-Priemer, U.W. Sawitzi, G. (2007, in press). Ambulatory assessment of affective instability in Borderline Personality Disorder - The effect of the sampling frequency. European Journal of Psychological Assessment, 23, 238– 247Eckhardt, G. Waterman, J. (2004). Pocket Observer 2.2. Animal Behaviour, 67, 805– 806Fahrenberg, J. (2001). Origins and developments of ambulatory monitoring and assessment. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 587-614). Seattle: Hogrefe & HuberFahrenberg, J. Hüttner, P. Leonhart, R. (2001). MONITOR: Acquisition of psychological data by a hand-held PC. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 93-112). Seattle: Hogrefe & HuberFahrenberg, J. Myrtek, M. Eds. (1996). Ambulatory assessment . Seattle: Hogrefe & HuberFahrenberg, J. Myrtek, M. Eds. (2001). Progress in ambulatory assessment . Seattle: Hogrefe & HuberHeger, R. (1990). Apparative Datenerfassung in Feldstudien. [Measurement instruments and systems for collecting data in field studies] Diagnostica, 36, 60– 80Intille, S.S. Rondoni, J. Kukla, C. Anacona, I. Bao, L. (2003). A context-aware experience sampling tool. In Proceedings of CHI '03 extended abstracts on human factors in computing systems (pp. 972-973). New York: ACMKubiak, T. Jonas, C. (2007). Applying circular statistics to the analysis of monitoring data: Patterns of social interactions and mood. European Journal of Psychological Assessment, 23, 227– 237Littner, M.R. (2005). Portable monitoring in the diagnosis of the obstructive sleep apnea syndrome. Seminars in Respiratory & Critical Care Medicine, 26, 56– 67Mehl, M.R. Holleran, S.E. (2007). An empirical analysis of the obtrusiveness of and participants' compliance with the electronically activated recorder (EAR). European Journal of Psychological Assessment, 23, 248– 257Mehl, M.R. Pennebaker, J.W. Crow, D.M. Dabes, J. Price, J.H. (2001). The electronically activated recorder (EAR): A device for sampling naturalistic daily activities and conversations. Behavior Research Methods, Instruments, and Computers, 33, 517– 523Meyer, T. Davison, R.C. Kindermann, W. (2005). Ambulatory gas exchange measurements - Current status and future options. International Journal of Sports Medicine, 26 (Suppl. 1), S19– S27Myrtek, M. (2004). Heart and emotion: Ambulatory monitoring studies in everyday life . Seattle, WA: Hogrefe & HuberMyrtek, M. Foerster, F. Bruegner, G. (2001). Freiburger monitoring system - FMS . [Freiburg monitoring system]. Frankfurt, Germany: LangRaymond, E.S. (2001). The cathedral and the bazaar . Sebastapol: O'ReillyReicherts, M. Salamin, V. Maggiori, C. Pauls, K. (2007). The Learning Affect Monitor (LAM): A computer-based system integrating dimensional and discrete assessment of affective states in daily life. European Journal of Psychological Assessment, 23, 268– 277Schomer, D.L. (2006). Ambulatory EEG telemetry: How good is it?. Journal of Clinical Neurophysiology, 23, 294– 305Schwarz, J.E. Stone, A.A. (1998). Strategies for analyzing ecological momentary assessment data. Health Psychology, 17, 6– 16Sorbi, M.J. Mak, S.B. Houtveen, J. Kleiboer, A.M. van Doornen, L.J.P. (2006). Mobile web-based monitoring and coaching: A new e-health method and its feasibility in chronic migraine . Manuscript submitted for publicationWeiss, H.M. Beal, D.J. Lucy, S.L. MacDermid, S.M. (2004). Constructing EMA studies with PMAT: The Purdue Momentary Assessment Tool user's manual . Retrieved October 1, 2006, from www.mfri.purdue.edu/pmatWilhelm, P. Schoebi, D. (2007). Assessing mood in daily life: Structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood. European Journal of Psychological Assessment, 23, 258– 267
