Biosensing in multiple sclerosis

References

• Compston A, Coles A. Multiple sclerosis. Lancet. 2008;372:1502–1517.
   PubMed Web of Science ®Google Scholar
• Karussis D. The diagnosis of multiple sclerosis and the various related demyelinating syndromes: a critical review. J Autoimmun. 2014;48-49:134–142.
   PubMed Web of Science ®Google Scholar
• Frohman EM, Racke MK, Raine CS. Multiple sclerosis – the plaque and its pathogenesis. N Engl J Med. 2006;354:942–955.
   PubMed Web of Science ®Google Scholar
• Kingwell E, Marriott JJ, Jette N, et al. Incidence and prevalence of multiple sclerosis in Europe: a systematic review. BMC Neurol. 2013;13:128.
   PubMed Web of Science ®Google Scholar
• Marrie R, Horwitz R, Cutter G, et al. High frequency of adverse health behaviors in multiple sclerosis. Mult Scler. 2009;15:105–113.
   PubMed Web of Science ®Google Scholar
• Motl RW, Arnett PA, Smith MM, et al. Worsening of symptoms is associated with lower physical activity levels in individuals with multiple sclerosis. Mult Scler. 2008;14:140–142.
   PubMed Web of Science ®Google Scholar
• Klaren RE, Motl RW, Dlugonski D, et al. Objectively quantified physical activity in persons with multiple sclerosis. Arch Phys Med Rehabil. 2013;94:2342–2348.
   PubMed Web of Science ®Google Scholar
• Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale. EDSS. Neurology. 1983;33:1444–1452.
   PubMed Web of Science ®Google Scholar
• Schwid SR, Goodman AD, Apatoff BR, et al. Are quantitative functional measures more sensitive to worsening MS than traditional measures? Neurology. 2000;55:1901–1903.
   PubMed Web of Science ®Google Scholar
• Hohol MJ, Orav EJ, Weiner HL. Disease steps in multiple sclerosis: a simple approach to evaluate disease progression. Neurology. 1995;45:251–255.
   PubMed Web of Science ®Google Scholar
• Hobart J, Freeman J, Thompson A. Kurtzke scales revisited: the application of psychometric methods to clinical intuition. Brain. 2000;123:1027–1040.
   PubMed Web of Science ®Google Scholar
• Motl RW, McAuley E, Snook EM. Physical activity and multiple sclerosis: a meta-analysis. Mult Scler. 2005;11:459–463.
   PubMed Web of Science ®Google Scholar
• Schwickert L, Becker C, Lindemann U, et al. Fall detection with body-worn sensors: a systematic review. Z Gerontol Geriatr. 2013;46:706–719.
   PubMed Web of Science ®Google Scholar
• Casey B, Coote S, Donnelly A. Objective physical activity measurement in people with multiple sclerosis: a review of the literature. Disabil Rehabil Assist Technol. 2017;1–8.
   Google Scholar
• Bradshaw MJ, Farrow S, Motl RW, et al. Wearable biosensors to monitor disability in multiple sclerosis. Neurology: Clin Pract. 2017. DOI:10.1212/cpj.0000000000000382
   Google Scholar
• Prince SA, Adamo KB, Hamel ME, et al. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:56.
   PubMed Web of Science ®Google Scholar
• Block VJ, Lizee A, Crabtree-Hartman E, et al. Continuous daily assessment of multiple sclerosis disability using remote step count monitoring. J Neurol. 2017;264:316–326.
   PubMed Web of Science ®Google Scholar
• Hale LA, Pal J, Becker I. Measuring free-living physical activity in adults with and without neurologic dysfunction with a triaxial accelerometer. Arch Phys Med Rehab. 2008;89:1765–1771.
   PubMed Web of Science ®Google Scholar
• Motl RW, McAuley E, Sandroff BM, et al. Descriptive epidemiology of physical activity rates in multiple sclerosis. Acta Neurol Scand. 2015;131:422–425.
   PubMed Web of Science ®Google Scholar
• Godin G, Shephard RJ. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985;10:141–146.
   PubMedGoogle Scholar
• Craig CL, Marshall AL, Sjostrom M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–1395.
   PubMed Web of Science ®Google Scholar
• McAuley E, Motl RW, White SM, et al. Validation of the multidimensional outcome expectations for exercise scale in ambulatory, symptom-free persons with multiple sclerosis. Arch Phys Med Rehabil. 2010;91:100–105.
   PubMed Web of Science ®Google Scholar
• Motl RW, McAuley E, Snook EM, et al. Validity of physical activity measures in ambulatory individuals with multiple sclerosis. Disabil Rehabil. 2006;28:1151–1156.
   PubMed Web of Science ®Google Scholar
• Gosney JL, Scott JA, Snook EM, et al. Physical activity and multiple sclerosis: validity of self-report and objective measures. Fam Community Health. 2007;30:144–150.
   PubMed Web of Science ®Google Scholar
• Kahraman T, Savci S, Coskuner-Poyraz E, et al. Determinants of physical activity in minimally impaired people with multiple sclerosis. Clin Neurol Neurosurg. 2015;138:20–24.
   PubMed Web of Science ®Google Scholar
• Kruger T, Behrens JR, Grobelny A, et al. Subjective and objective assessment of physical activity in multiple sclerosis and their relation to health-related quality of life. BMC Neurol. 2017;17:10.
   PubMed Web of Science ®Google Scholar
• Weikert M, Motl RW, Suh Y, et al. Accelerometry in persons with multiple sclerosis: measurement of physical activity or walking mobility? J Neurol Sci. 2010;290:6–11.
   PubMed Web of Science ®Google Scholar
• Motl RW, Snook EM, McAuley E, et al. Correlates of physical activity among individuals with multiple sclerosis. Ann Behav Med. 2006;32:154–161.
   PubMed Web of Science ®Google Scholar
• Motl RW, McAuley E, Wynn D, et al. Symptoms and physical activity among adults with relapsing-remitting multiple sclerosis. J Nerv Ment Dis. 2010;198:213–219.
   PubMed Web of Science ®Google Scholar
• Kos D, Nagels G, D’Hooghe MB, et al. Measuring activity patterns using actigraphy in multiple sclerosis. Chronobiol Int. 2007;24:345–356.
   PubMed Web of Science ®Google Scholar
• Ng AV, Kent-Braun JA. Quantitation of lower physical activity in persons with multiple sclerosis. Med Sci Sports Exerc. 1997;29:517–523.
   PubMed Web of Science ®Google Scholar
• Busse ME, Pearson OR, Van Deursen R, et al. Quantified measurement of activity provides insight into motor function and recovery in neurological disease. J Neurol Neurosurg Psychiatry. 2004;75:884–888.
   PubMed Web of Science ®Google Scholar
• Motl RW, Weikert M, Suh Y, et al. Accuracy of the actibelt((R)) accelerometer for measuring walking speed in a controlled environment among persons with multiple sclerosis. Gait Posture. 2012;35:192–196.
   PubMed Web of Science ®Google Scholar
• Sandroff BM, Motl RW, Pilutti LA, et al. Accuracy of StepWatch and ActiGraph accelerometers for measuring steps taken among persons with multiple sclerosis. PLoS One. 2014;9:e93511.
   PubMed Web of Science ®Google Scholar
• Motl RW, Snook EM, Agiovlasitis S. Does an accelerometer accurately measure steps taken under controlled conditions in adults with mild multiple sclerosis? Disabil Health J. 2011;4:52–57.
   PubMed Web of Science ®Google Scholar
• Sosnoff JJ, Sandroff BM, Pula JH, et al. Falls and physical activity in persons with multiple sclerosis. Mult Scler Int. 2012;2012:315620.
   PubMedGoogle Scholar
• Fjeldstad C, Fjeldstad AS, Pardo G. Use of accelerometers to measure real-life physical activity in ambulatory individuals with multiple sclerosis: a pilot study. Int J MS Care. 2015;17:215–220.
   PubMedGoogle Scholar
• Snook EM, Motl RW. Physical activity behaviors in individuals with multiple sclerosis: roles of overall and specific symptoms, and self-efficacy. J Pain Symptom Manage. 2008;36:46–53.
   PubMed Web of Science ®Google Scholar
• Pau M, Caggiari S, Mura A, et al. Clinical assessment of gait in individuals with multiple sclerosis using wearable inertial sensors: comparison with patient-based measure. Mult Scler Relat Dis. 2016;10:187–191.
   PubMed Web of Science ®Google Scholar
• Balantrapu S, Sosnoff JJ, Pula JH, et al. Leg spasticity and ambulation in multiple sclerosis. Mult Scler Int. 2014;2014:649390.
   PubMedGoogle Scholar
• Klaren RE, Hubbard EA, Motl RW, et al. Objectively measured physical activity is associated with brain volumetric measurements in multiple sclerosis. Behav Neurol. 2015;Artn 482536. DOI:10.1155/2015/482536
   Web of Science ®Google Scholar
• Prakash RS, Patterson B, Janssen A, et al. Physical activity associated with increased resting-state functional connectivity in multiple sclerosis. J Int Neuropsychol Soc. 2011;17:986–997.
   PubMed Web of Science ®Google Scholar
• Vanhelst J, Beghin L, Duhamel A, et al. Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study. Bmc Med Res Methodol. 2012;12:Artn 26.
   Web of Science ®Google Scholar
• Dlugonski D, Motl RW, McAuley E. Increasing physical activity in multiple sclerosis: replicating Internet intervention effects using objective and self-report outcomes. J Rehabil Res Dev. 2011;48:1129–1136.
   PubMed Web of Science ®Google Scholar
• Motl RW, McAuley E, Sandroff BM. Longitudinal change in physical activity and its correlates in relapsing-remitting multiple sclerosis. Phys Ther. 2013;93:1037–1048.
   PubMed Web of Science ®Google Scholar
• Pilutti LA, Dlugonski D, Sandroff BM, et al. Randomized controlled trial of a behavioral intervention targeting symptoms and physical activity in multiple sclerosis. Mult Scler. 2014;20:594–601.
   PubMed Web of Science ®Google Scholar
• Bianchi F, Redmond SJ, Narayanan MR, et al. Falls event detection using triaxial accelerometry and barometric pressure measurement. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6111–6114.
   PubMedGoogle Scholar
• Bamberg SJ, Benbasat AY, Scarborough DM, et al. Gait analysis using a shoe-integrated wireless sensor system. IEEE Trans Inf Technol Biomed. 2008;12:413–423.
   PubMedGoogle Scholar
• Shoaib M, Bosch S, Incel OD, et al. Fusion of smartphone motion sensors for physical activity recognition. Sensors (Basel). 2014;14:10146–10176.
   PubMed Web of Science ®Google Scholar
• Craig JJ, Bruetsch AP, Lynch SG, et al. Instrumented balance and walking assessments in persons with multiple sclerosis show strong test-retest reliability. J Neuroeng Rehabil. 2017;14:43.
   PubMed Web of Science ®Google Scholar
• Greene BR, Healy M, Rutledge S, et al. Quantitative assessment of multiple sclerosis using inertial sensors and the TUG test. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2977–2980.
   PubMedGoogle Scholar
• Moon Y, McGinnis RS, Seagers K, et al. Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS One. 2017;12:e0171346.
   PubMed Web of Science ®Google Scholar
• Carpinella I, Cattaneo D, Ferrarin M. Hilbert-Huang transform based instrumental assessment of intention tremor in multiple sclerosis. J Neural Eng. 2015;12:046011.
   PubMed Web of Science ®Google Scholar
• Qureshi A, Brandt-Pearce M, Goldman MD. Relationship between gait variables and domains of neurologic dysfunction in multiple sclerosis using six-minute walk test. Conf Proc IEEE Eng Med Biol Soc. 2016;2016:4959–4962.
   PubMedGoogle Scholar
• Rudick RA, Miller D, Bethoux F, et al. The Multiple Sclerosis Performance Test (MSPT): an iPad-based disability assessment tool. J Vis Exp. 2014;e51318. published Online First: 2014/07/22. DOI:10.3791/51318
   PubMed Web of Science ®Google Scholar
• Brodie MA, Psarakis M, Hoang P. Gyroscopic corrections improve wearable sensor data prior to measuring dynamic sway in the gait of people with multiple sclerosis. Comput Methods Biomech Biomed Engin. 2016;19:1339–1346.
   PubMed Web of Science ®Google Scholar
• Spain RI, St George RJ, Salarian A, et al. Body-worn motion sensors detect balance and gait deficits in people with multiple sclerosis who have normal walking speed. Gait Posture. 2012;35:573–578.
   PubMed Web of Science ®Google Scholar
• Shammas L, Zentek T, von Haaren B, et al. Home-based system for physical activity monitoring in patients with multiple sclerosis (pilot study). Biomed Eng Online2014; 13:10. doi: 10.1186/1475-925X-13-1058
   PubMed Web of Science ®Google Scholar
• Sehle A, Mundermann A, Starrost K, et al. Objective assessment of motor fatigue in multiple sclerosis using kinematic gait analysis: a pilot study. J Neuroeng Rehabil. 2011;8:59.
   PubMed Web of Science ®Google Scholar
• Yu F, Bilberg A, Stenager E. Wireless medical sensor measurements of fatigue in patients with multiple sclerosis. Conf Proc IEEE Eng Med Biol Soc. 2010;2010:3763–3767.
   PubMedGoogle Scholar
• Egg R, Hogl B, Glatzl S, et al. Autonomic instability, as measured by pupillary unrest, is not associated with multiple sclerosis fatigue severity. Mult Scler. 2002;8:256–260.
   PubMed Web of Science ®Google Scholar
• Flachenecker P, Rufer A, Bihler I, et al. Fatigue in MS is related to sympathetic vasomotor dysfunction. Neurology. 2003;61:851–853.
   PubMed Web of Science ®Google Scholar
• Keselbrener L, Akselrod S, Ahiron A, et al. Is fatigue in patients with multiple sclerosis related to autonomic dysfunction? Clin Auton Res. 2000;10:169–175.
   PubMed Web of Science ®Google Scholar
• Merkelbach S, Dillmann U, Kolmel C, et al. Cardiovascular autonomic dysregulation and fatigue in multiple sclerosis. Mult Scler. 2001;7:320–326.
   PubMed Web of Science ®Google Scholar
• Iyengar V, Santos MJ, Ko M, et al. Grip force control in individuals with multiple sclerosis. Neurorehabil Neural Repair. 2009;23:855–861.
   PubMed Web of Science ®Google Scholar
• Allgower K, Kern C, Hermsdorfer J. Predictive and reactive grip force responses to rapid load increases in people with multiple sclerosis. Arch Phys Med Rehabil. 2017;98:525–533.
   PubMed Web of Science ®Google Scholar
• Gorniak SL, Plow M, McDaniel C, et al. Impaired object handling during bimanual task performance in multiple sclerosis. Mult Scler Int. 2014;2014:450420.
   PubMedGoogle Scholar
• Reilmann R, Holtbernd F, Bachmann R, et al. Grasping multiple sclerosis: do quantitative motor assessments provide a link between structure and function? J Neurol. 2013;260:407–414.
   PubMed Web of Science ®Google Scholar
• Marwaha R, Hall SJ, Knight CA, et al. Load and grip force coordination in static bimanual manipulation tasks in multiple sclerosis. Motor Control. 2006;10:160–177.
   PubMed Web of Science ®Google Scholar
• Costello F. Vision disturbances in multiple sclerosis. Semin Neurol. 2016;36:185–195.
   PubMed Web of Science ®Google Scholar
• Moroso A, Ruet A, Deloire M, et al. Cerebellar assessment in early multiple sclerosis. The Cerebellum. 2017;16:607–611.
   PubMed Web of Science ®Google Scholar
• Nygaard GO, De Rodez Benavent SA, Harbo HF, et al. Eye and hand motor interactions with the symbol digit modalities test in early multiple sclerosis. Mult Scler Relat Disord. 2015;4:585–589.
   PubMed Web of Science ®Google Scholar
• Fielding J, Kilpatrick T, Millist L, et al. Antisaccade performance in patients with multiple sclerosis. Cortex. 2009;45:900–903.
   PubMed Web of Science ®Google Scholar
• Mohr DC, Lovera J, Brown T, et al. A randomized trial of stress management for the prevention of new brain lesions in MS. Neurology. 2012;79:412–419.
   PubMed Web of Science ®Google Scholar
• Lopez-Martinez D, Picard R Wearable technologies for multiple sclerosis: the future role of wearable stress measurement in improving quality of life. Second International Conference on Smart Portable, Wearable, Implantable and Disability-Oriented Devices and Systems (SPWID’16). Valencia, Spain, 2016
   Google Scholar