KnE Engineering
ISSN: 2518-6841
The latest conference proceedings on all fields of engineering.
Objective Assessment of Sleep Movements in Neurodegenerative Patients Trough an Electrotextile Tool
Published date: Jun 02 2020
Journal Title: KnE Engineering
Issue title: International Congress on Engineering — Engineering for Evolution
Pages: 558–569
Authors:
Abstract:
The present research work aims at the integration of textile materials and electronic components for the development of a new electrotextile structure to be used in human medicine and healthcare, specifically, in monitoring sleep movements of patients with neurodegenerative disease such as Alzheimer and Parkinson’s. In this context, we sought the development of a new technological solution that allows not only to assess sleep quality, but also to establish a link between the nocturnal movements (body area, number of movements, direction, intensity) of demented patients and their polysomnographic recorded data. For this purpose, the authors developed an electroactive textile system, in order to acquire biomechanic information during the patients’ night rest. The collected data will be statistically processed to verify any relation between night movements and the stage of the disease.
Keywords: Smart textiles, Sleep assessment, Polysomnography, Electrotextiles, Neurodegenerative diseases
References:
[1] Pilar Rente e Teresa Pimentel, A Patologia do Sono, Edições Lidel, 2004;
[2] Sudhansu Chokroverty e Robert J. Thomas, Atlas of Sleep Medicine, 2nd Edition, 2014 Elsevier Inc;
[3] Maquet P, Matarazzo LA, Foret A, Mascetti L, Bourdieu AS, Contribution of sleep to learning and memory, Muto V, Biol Aujourdhui. 2010;204(2):139-43, 2010;
[4] Born J, Slow-wave sleep and the consolidation of long-term memory, World J. Biol. Psychiatry. 2010 Jun;11 Suppl 1:16-21,
[5] The International Classification of Sleep Disorders Second Edition Diagnostic & Coding Manual American Academy of Sleep Medicine – Westchester, IL, USA, 2005.
[6] Salami, O, Lyketsos, C., Rao, V., Treatment of sleep disturbance in Alzheimer’s dementia, International Journal of Geriatric Psychiatry, 2011 Aug;26(8):771-82., 2011;
[7] Suzuki K, Miyamoto M, Miyamoto T, Iwanami M, Sakuta H, Hirata K. (2012) Sleep disturbances in patients with Parkinson disease. Brain Nerve. 2012 Apr;64(4):342-55
[8] Schlosser Covell GE, Dhawan PS, Lee Iannotti JK, Hoffman-Snyder CR, Wellik KE, Caselli RJ, Woodruff BK, Wingerchuk DM, Demaerschalk BM.(2012) “Disrupted daytime activity and altered sleep-wake patterns may predict transition to mild cognitive impairment or dementia: a critically appraised topic”.Neurologist, Nov;18(6):426-9
[9] Wadsworth LP, Lorius N, Donovan NJ, Locascio JJ, Rentz DM, Johnson KA, Sperling RA, Marshall GA (2012) “Neuropsychiatric symptoms and global functional impairment along the Alzheimer’s continuum.” Dement Geriatr Cogn Disord. 34(2):96-111.
[10] Bidzan L, Grabowski J, Dutczak B, Bidzan M. 2011 “Sleep disorders in the preclinical period of the Alzheimer’s disease “Psychiatr Pol. Nov-Dec;45(6):851-60
[11] Rongve A, Boeve BF, Aarsland D.J, Frequency and correlates of caregiver-reported sleep disturbances in a sample of persons with early dementia, American Geriatric Society, 2010 Mar;58(3):480-6;
[12] Ferro C.V, Ide M.R, Streit, M.V. “Correlação dos distúrbios do sono e parâmetros Subjetivos em indivíduos com fibromialgia” Fisioter Mov. 2008; 21(1):33-8.
[13] Most EI, Aboudan S, Scheltens P, Van Someren EJ. (2012) Discrepancy between subjective and objective sleep disturbances in early- and moderate-stage Alzheimer disease.Am J Geriatr Psychiatry.Jun;20(6):460-7.
[14] Patil SP., What every clinician should know about polysomnography, Respiratory Care 2010 Sep;55(9):1179-95;
[15] Che-Chang Yang 1 and Yeh-Liang Hsu, Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring, Sensors 2010, 10, 7772-7788;
[16] Chen, K.Y.; Bassett, D.R., Jr., The technology of accelerometry-based activity monitors: Current and future. Med. Sci. Sports. Exerc. 2005, 37, 490-500;
[17] Öberg, P.Å.; Togawa, T.; Spelman, F.A. Sensors in Medicine and Health Care; Wiley-VCH. Weinheim: Berlin, Germany, 2004; Volume 1, pp. 245-252;
[18] Anna Maria Bianchi, Martin Oswaldo Mendez, and Sergio Cerutti, Processing of Signals Recorded Through Smart Devices: Sleep-Quality Assessment, IEEE Transactions on Information Technology in Biomedicine, VOL. 14, NO. 3, MAY 2010;
[19] Adriana M. Adami, André G. Adami, Tamara L. Hayes e Zachary T. Beattie, A system for assessment of limb movements in sleep, 2013 IEEE 15th International conference on e-health networking, applications and services (Healthcom 2013);
[20] S. Lokavee, N. Watthanawishuth, J. Mensing and T. Kerdcharoen, Sensor pillow system: monitoring cardio-respiratory and posture during sleep, Proceedings of the Biomedical engineering international conference – BMEiCON 2011, 2011;
[21] Jose M. Perez-Macias, Holly Jimison, Ilkka Korhonen e Misha Pavel, Comparative assessment of sleep quality estimates using home monitoring technology, IEEE, 2014;
[22] A. Gaddam, S. C. Mukhopadhyay and G. Sen Gupta, Necessity of a bed-sensor in smart digital home to care for eleder-people, IEEE, 2008;
[23] Sacco, Isabel C.N. et al., “Análise biomecânica de posturas mediante fotografia digital: estudos de casos”, R, Bras. Ci e Mov. Brasília Vol. 11, n°2, pp. 25-23, 2003;
[24] Park S, Jayaraman S. “Enhancing the quality of life through wearable technology”. School of Textile and Fiber Engineering, Georgia Institute of Technology, Atlanta, GA 30332- 0295,USA.
[25] Paradiso R., De Rossi D., “Advances in textile technologies for unobtrusive monitoring of vital parameters and movements”, Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006.
[26] M.Pacelli, G.Loriga., N.Taccini and R.Paradiso, “Sensing Fabrics for Monitoring Physiological and Biomechanical Variables: E-textile solutions”, Proceedings of the 3rd IEEEEMBS International Summer School and Symposium on Medical Devices and Biosensors MIT, Boston, USA, Sept.4-6, 2006.