Personal Health System architecture for stress monitoring and support to clinical decisions

Computer Communications

Volumn 35, Issue 11, 2012, Pages 1296-1305

  Tartarisco, Gennaro ^a   Baldus, Giovanni ^a   Corda, Daniele ^a   Raso, Rossella ^a   Arnao, Antonino ^c   Ferro, Marcello ^b   Gaggioli, Andrea ^d   Pioggia, Giovanni ^a  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF MESSINA   (Italy)

^d ISTITUTO AUXOLOGICO ITALIANO   (Italy)

Author keywords

Autonomic sympathovagal balance; Autoregressive model; Clinical decision support system; Pervasive healthcare architecture; Stress detection

Indexed keywords

AUTO REGRESSIVE MODELS; CLINICAL DECISION; CLINICAL DECISION SUPPORT SYSTEMS; COMPUTATIONAL TECHNIQUE; COST-EFFICIENT; DECISION PROCESS; FUZZY LOGIC MODELING; HUMAN MOTIONS; MOBILE SETTINGS; PARADIGM SHIFTS; PERSONAL HEALTH SYSTEMS; PERSONAL RISKS; PERVASIVE ARCHITECTURE; PERVASIVE HEALTHCARE; PROCESSING APPROACH; REMOTE MONITORING; STRESS CONDITION; STRESS DETECTION; STRESS MONITORING; STRESS STATE; TECHNOLOGICAL BREAKTHROUGHS; WIRELESS COMMUNICATIONS;

DATA PROCESSING; DECISION SUPPORT SYSTEMS; FUZZY LOGIC; HEALTH CARE; HEALTH RISKS; NEURAL NETWORKS; PATIENT MONITORING; WIRELESS TELECOMMUNICATION SYSTEMS;

DIAGNOSIS;

EID: 84861999702     PISSN: 01403664     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comcom.2011.11.015     Document Type: Article

References (44)

1. M. Peleg, and S. Tu Decision support, knowledge representation and management in medicine Method. Info. Med. 45 Suppl 1 2006 72 80
2. A. Miles, M. Loughlin, and A. Polychronis Evidence-based healthcare, clinical knowledge and the rise of personalised medicine J. Eval. Clin. Pract. 14 5 2008 621 649
3. W.T. Lester, A.H. Zai, R.W. Grant, and H.C. Chueh Designing healthcare information technology to catalyse change in clinical care Inform. Prim. Care 16 1 2008 9 19 (Pubitemid 351843629)
4. B. Song, M. Marschollek, K.H. Wolf, M. Gietzelt, T. Franken, and R. Haux A home-centered ICT architecture for health-enabling technologies Stud. Health Technol. Inform. 160 Pt 1 2010 48 52
5. T. Lugovkina, and B. Richards Clinical events classification for using the EHR to provide better patient care Stud. Health Technol. Inform. 156 2010 167 170
6. V.K. Mago, A. Mago, P. Sharma, and J. Mago Fuzzy logic based expert system for the treatment of mobile tooth Adv. Exp. Med. Biol. 696 2011 607 614
7. P.L. Kubben, H. van Santbrink, E.M. Cornips, A.R. Vaccaro, M.F. Dvorak, L.W. van Rhijn, A.J. Scherpbier, and H. Hoogland An evidence-based mobile decision support system for subaxial cervical spine injury treatment Surg. Neurol. Int. 2 2011 32
8. O. Spjuth, M. Eklund, E. Ahlberg Helgee, S. Boyer, and L. Carlsson Integrated decision support for assessing chemical liabilities J. Chem. Inf. Model. 2011
9. M. Fossum, G.L. Alexander, M. Ehnfors, and A. Ehrenberg Effects of a computerized decision support system on pressure ulcers and malnutrition in nursing homes for the elderly Int. J. Med. Inform. 2011
10. M. Ohlsson Perfusion images using artificial neural networks Artificial Intelligence Med. 30 1 2004 49 60
11. M.R. Narasingarao, R. Manda, G.R. Sridhar, K. Madhu, and A.A. Rao A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes J. Assoc. Phys. India 57 2009 127 133
12. J. Hansen, W. Schäfer, N. Black, and P. Groenewegen European priorities for research on health care organizations and service delivery J. Health Serv. Res. Policy 16 Suppl 2 2011 16 26
13. J.R.C. van Sambeek, F.A. Cornelissen, P.J.M. Bakker, and J.J. Krabbendam Models as instruments for optimizing hospital processes: a systematic review Int. J. Health Care Quality Assu. 23 4 2010 356 377
14. Y.L. Nguyen, J.M. Kahn, and D.C. Angus Reorganizing adult critical care delivery: the role of regionalization, telemedicine, and community outreach Am. J. Respir. Crit. Care Med. 181 11 2010 1164 1169 Epub 2010 Mar 11
15. D. Mechanic Replicating high-quality medical care organizations JAMA 303 6 2010 555 556
16. J.E. Bardram Pervasive Healthcare as a Scientific Discipline Method. Info. Med. 47 3 2008 178 185 (Pubitemid 351723960)
17. C. Orwat, A. Graefe, and T. Faulwasser Towards Pervasive Computing in Health Care: A Literature Review BMC Med. Info. Decision Making 8 26 2008 www.biomedcentral.com/1472-6947/826
18. F. Delmastro, and M. Conti Wearable Computing and Sensor Systems for Healthcare M.S. Obaidat, M. Denko, I. Woungang, Pervasive Comput. Networking 2011 John Wiley & Sons, Ltd Chichester, UK doi:10.1002/9781119970422.ch8
19. T.R. Hansen, J.E. Bardram, and M. Soegaard Moving Out of the Lab: Deploying Pervasive Technologies in a Hospital IEEE Pervasive Comput. 5 3 2006 24 31 (Pubitemid 44304151)
20. M. Rigby Applying emergent ubiquitous technologies in health: the need to respond to new challenges of opportunity, expectation, and responsibility Int'l J. Med. Info. 76 3 2007 S349 S352
21. A. Pantelopoulos, and N.G. Bourbakis A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis IEEE Trans. Syst. Man Cybernet. 41 1 2011 1 12
22. A. Auricchio, J. Brugada, K.A. Ellenbogen, M.R. Gold, and F. Leyva CLEPSYDRA investigators, Assessment of a novel device-based diagnostic algorithm to monitor patient status in moderate-to-severe heart failure: rationale and design of the CLEPSYDRA study Eur. J. Heart Fail. 12 12 2010 1363 1371 Epub 2010 Oct 14.
23. D.S. Moskowitz, and S.N. Young Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology J. Psychiatry Neurosci. 31 1 2006 13 20
24. D.Q. Barge-Schaapveld, and N.A. Nicolson Effects of antidepressant treatment on the quality of daily life: an experience sampling study J. Clin. Psychiatry. 63 6 2002 477 485 (Pubitemid 34680355)
25. N. Jacobs, I. Myin-Germeys, C. Derom, P. Delespaul, J. van Os, and N.A. Nicolson A momentary assessment study of the relationship between affective and adrenocortical stress responses in daily life Biol. Psychol. 74 2007 60 66 (Pubitemid 44802827)
26. P. Sterling, and J. Eyer Allostasis: A New Paradigm to Explain Arousal Pathology S. Fisher, J. Reason, Handbook of Life Stress Cogintion Health 1988 J. Wiley & Sons New York, NY 629 649
27. E. Jovanov, A. O'Donnell Lords, D. Raskovic, P.G. Cox, R. Adhami, and F. Andrasik Stress monitoring using a distributed wireless intelligent sensor system IEEE Eng. Med. Biol. Mag. 2003
28. J.A. Healey, and R.W. Picard Detecting stress during real-world driving tasks using physiological sensors IEEE Trans. Intelligent Transport. Syst. 6 2 2005 156 166 doi:10.1109/TITS.2005.848368 (Pubitemid 40925766)
29. D. Majoe, P. Bonhof, T. Kaegi-Trachsel, J. Gutknecht, L. Widmer, Stress and sleep quality estimation from a smart wearable sensor, in: 5th International Conference on Pervasive Computing and Applications (ICPCA), 2010, pp.14-19, 1-3 Dec. 2010. doi:10.1109/ICPCA.2010.5704068.
30. M. Nilsson, P. Funk, Olsson EMG, B. von Scheele, N. Xiong. Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system. Artificial Intelligence Med. Vol. 36 (Issue 2), Case-based reasoning in the health sciences, February 2006, Pages 159-176, ISSN 0933-3657, doi:10.1016/j.artmed.2005.04.004.
31. K. Plarre, A. Raij, S.M. Hossain, A.A. Ali, M. Nakajima, M. Al'absi, E. Ertin, T. Kamarck, S. Kumar, M. Scott, D. Siewiorek, A. Smailagic, L.E. Wittmers, Continuous inference of psychological stress from sensory measurements collected in the natural environment, in: 10th International Conference on Information Processing in Sensor Networks (IPSN), Chicago, IL, 97-108, 2011.
32. http://en.wikipedia.org/wiki/Autonomic-nervous-system
33. K. Yoshino, and K. Matsuoka Effect of mood during daily life on autonomic nervous activity balance during subsequent sleep Auton. Neurosci. 150 1-2 2009 147 149 Epub 2009 Apr 28. PubMed PMID: 19403341
34. A.S. Leicht, W.H. Sinclair, M.J. Patterson, S. Rudzki, M.P. Tulppo, A.L. Fogarty, and S. Winter Influence of postexercise cooling techniques on heart rate variability in men Exp. Physiol. 94 6 2009 695 703 Epub 2009 Mar 6
35. A. Malliani, M. Pagani, N. Montano, and G.S. Mela Sympathovagal balance: a reappraisal Circulation 98 1998 2640 2644
36. L. Fagraeus, and D. Linnarsson Autonomic origin of heart rate fluctuations at the onset of muscular exercise J. Appl. Physiol. 40 5 1976 679 682 PubMed PMID: 931893
37. G.K. Pal, P. Pal, N. Nanda, D. Amudharaj, and S. Karthik Spectral analysis of heart rate variability (HRV) may predict the future development of essential hypertension Med. Hypotheses 72 2 2009 183 185 Epub 2008 Oct 11. PubMed PMID: 18851902
38. S. Goulopoulou, B. Fernhall, and J.A. Kanaley Hemodynamic responses and linear and non-linear dynamics of cardiovascular autonomic regulation following supramaximal exercise Eur. J. Appl. Physiol. 105 4 2009 525 531 Epub 2008 Nov 26. PubMed PMID: 19034492
39. J. Pan, and W.J. Tompkins A Real-Time QRS Detection Algorithm IEEE Trans. Biomed. Eng. 32 1985 230 236 (Pubitemid 15148852)
40. L.T. Mainardi, A.M. Bianchi, and S. Cerutti Digital Biomedical Signal Acquisition and Processing second ed. J.D. Bronzino, The Biomedical Engineering Handbook vol. 2. 2000 CRC Press Inc 983 985
41. T. Kohonen Self-Organizing Maps 1995 Springer Verlag
42. G. Pioggia, M. Ferro, F. Di Francesco, A. Ahluwalia, and D. De Rossi Assessment of bioinspired models for pattern recognition in biomimetic systems Bioinspiration Biomimetics 3 1 2008 016004 doi:10.1088/1748-3182/3/1/016004
43. R. Takalo, H. Hytti, and H. Ihalainen Tutorial on univariate autoregressive spectral analysis J. Clinical Monitoring Comput. 19 2005 401 410 doi:10.1007/s10877-005-7089-x (Pubitemid 43150135)
44. D.M. Karantonis, M.R. Narayanan, M. Mathie, N.H. Lovell, and B.G. Celler Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring IEEE Trans. Inform. Technol. Biomed. 10 1 2006 156 167 (Pubitemid 43092328)