Body Sensor Networking, Design and Algorithms. Saeid Sanei
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Federation and the World Stroke Organization.
12 12 Shelat, A. M., (2016) Electromyography, https://medlineplus.gov/ency/article/003929.htm (accessed 25 November 2019).
13 13 Longo, G. and Montévil, M. (2014). Perspectives on Organisms. Springer.
14 14 Bu, Z. and Callaway, D.J. (2011). Proteins MOVE! Protein dynamics and long-range allostery in cell signalling. Advances in Protein Chemistry and Structural Biology 83: 163–221.
15 15 Cotsapas, C. and Haer, D.A. (2013). Immune-mediated disease genetics: the shared basis of pathogenesis. Trends in Immunology 34: 22–26.
16 16 Meroni, P.L. and Schur, P.H. (2010). Ana screening: an old test with new recommendations. Annals of the Rheumatic Diseases 69: 1420–1422.
17 17 Sanei, S. (2013). Adaptive Processing of Brain Signals. Wiley.
18 18 Hiemann, R., Hilger, N., Sack, U., and Weigert, M. (2006). Objective quality evaluation of fluorescence images to optimize automatic image acquisition. Cytometry Part A 69: 182–184.
19 19 Soda, P., Rigon, A., Afeltra, A., and Iannello, G. (2006). Automatic acquisition of immunofluorescence images: algorithms and evaluation. In: 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS, 386–390. IEEE.
20 20 Huang, Y.-L., Chung, C.-W., Hsieh, T.-Y., and Jao, Y.-L. (2008). Outline detection for the HEp-2 cell in indirect immunofluorescence images using watershed segmentation. In: 2008 IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC'08), 423–427. IEEE.
21 21 Huang, Y.-L., Jao, Y.-L., Hsieh, T.-Y., and Chung, C.-W. (2008). Adaptive automatic segmentation of HEp-2 cells in indirect immunofluorescence images. In: 2008 IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC'08), 418–422. IEEE.
22 22 Foggia, P., Percannella, G., Soda, P., and Vento, M. (2010). Early experiences in mitotic cells recognition on HEp-2 slides. In: IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 38–43. IEEE.
23 23 Soda, P. and Iannello, G. (2006). A multi-expert system to classify fluorescent intensity in antinuclear autoantibodies testing. In: 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 219–224. IEEE.
24 24 Murray, E.D., Buttner, N., and Price, B.H. (2012). Depression and psychosis in neurological practice. In: Neurology in Clinical Practice, 6e (eds. W.G. Bradley, R.B. Daroff, G.M. Fenichel and J. Jankovic). Butterworth Heinemann.
25 25 Sattar, H. (2011). Fundamentals of Pathology. Pathoma.
26 26 Escudero, J., Sanei, S., Jarchi, D. et al. (2011). Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms. Physiological Measurements 32 (8): 1163–1180.
27 27 National Institute of Neurological Disorders and Stroke (NINDS). (2016). Hydrocephalus Fact Sheet. https://www.ninds.nih.gov/Disorders/Patient-Caregiver-Education/Fact-Sheets/Hydrocephalus-Fact-Sheet (accessed 25 November 2019).
28 28 Dayalu, P. and Albin, R.L. (2015). Huntington disease: pathogenesis and treatment. Neurologic Clinics 33 (1): 101–114.
29 29 Caron, N.S., Wright, G.E.B., and Hayden, M.R. (1998). Huntington Disease. In: GeneReviews® (eds. M.P. Adam, H.H. Ardinger, R.A. Pagon, et al.). Seattle: University of Washington.
30 30 Frank, S. (2014). Treatment of Huntington's disease. Neurotherapeutics 11 (1): 153–160.
31 31 National Institute of Neurological Disorders and Stroke (NINDS). (2019). Huntington's Disease Information Page. https://www.ninds.nih.gov/Disorders/All-Disorders/Huntingtons-Disease-Information-Page (accessed 25 November 2019).
32 32 World Health Organization (2020). Headache disorders. https://www.who.int/news-room/fact-sheets/detail/headache-disorders (accessed 1 January 2020).
33 33 Aminoff, M.J., Greenberg, D.A., and Simon, R.P. (2009). Clinical Neurology, 7e. New York: Lange Medical Books/McGraw-Hill.
34 34 Headache Classification Subcommittee of the International Headache Society (2004). The international classification of headache disorders: 2nd edition. Cephalalgia 24 (Suppl 1): 9–160.
35 35 Pryse-Phillips, W. (2003). Companion to Clinical Neurology, 2e, 587. Oxford: Oxford University Press.
36 36 Piane, M., Lulli, P., Farinelli, I. et al. (2007). Genetics of migraine and pharmacogenomics: some considerations. Journal of Headache and Pain 8 (6): 334–339.
37 37 National Institute of Neurological Disorders and Stroke (NINDS). 2019. NINDS Multiple Sclerosis Information Page. https://www.ninds.nih.gov/Disorders/All-Disorders/Multiple-Sclerosis-Information-Page, (accessed 25 November 2019).
38 38 Compston, A. and Coles, A. (2008). Multiple sclerosis. Lancet 372 (9648): 1502–1517.
39 39 Compston, A. and Coles, A. (2002). Multiple sclerosis. Lancet 359 (9313): 1221–1231.
40 40 Murray, E.D., Buttner, E.A., and Price, B.H. (2012). Depression and psychosis in neurological practice. In: Bradley's Neurology in Clinical Practice, 6e (eds. R. Daroff, G. Fenichel, J. Jankovic and J. Mazziotta). Philadelphia: Elsevier/Saunders.
41 41 Kalia, L.V. and Lang, A.E. (2015). Parkinson's disease. Lancet 386 (9996): 896–912.
42 42 National Institute of Neurological Disorders and Stroke (NINDS). (2016). Parkinson's Disease Information Page. https://www.ninds.nih.gov/Disorders/All-Disorders/Parkinsons-Disease-Information-Page (accessed 25 November 2019).
43 43 Fisher, R., van Emde Boas, W., Blume, W. et al. (2005). Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46 (4): 470–472.
44 44 Fisher, R.S., Acevedo, C., Arzimanoglou, A. et al. (2014). ILAE official report: a practical clinical definition of epilepsy. Epilepsia 55 (4): 475–482.
45 45 Taflinger, R. F., (1996) Taking ADvantage: The biological basis of human behavior, http://public.wsu.edu/∼taflinge/biology.html (accessed 25 November 2019).
46 46 Marino, P. C. (2005) Biological rhythms as a basis for mood disorders, Http://www.personalityresearch.org/papers/marino.html (accessed 25 November 2019).
47 47 Revelle, W., Humphreys, M.S., Simon, L., and Gilliland, K. (1980). The interactive effect of personality, time of day, and caffeine: a test of the arousal model. Journal of Experimental Psychology: General 109: 1–31.
3 Physical, Physiological, and Biological Measurements
3.1 Introduction
Nowadays, many of the physical, physiological, biological, and behavioural states of the human body can be measured, evaluated, and described by means of wearable sensors. These sensors can monitor the state of the human body for longer than an expert's observation. Often, the fusion of data modalities collected using different sensors is used for diagnostic purposes.
Although the physical state of the human body can be observed in detail using video cameras or in some cases listened to using microphones, such modalities are subject to breach of privacy, costly to deploy, and are less fascinating for automated analysis body movement. Therefore, in this chapter we ignore these two modalities and investigate the cases where humans