اکثر مکاتبات کومش از طریق ایمیل سایت می باشد. لطفا Spam ایمیل خود را نیز چک نمایید.
   [صفحه اصلی ]   [Archive] [ English ]  
:: ::
بخش‌های اصلی
صفحه اصلی::
اطلاعات نشریه::
آرشیو مجله و مقالات::
برای نویسندگان::
برای داوران::
ثبت نام و اشتراک::
کار آزمایی بالینی::
تماس با ما::
تسهیلات پایگاه::
::
هزینه چاپ مقاله در کومش
با توجه به تصمیمات گرفته شده جهت پذیرش مقالات در مجله کومش از نویسندگان مقاله هزینه دریافت می گردد. هزینه پذیرش مقالات از ابتدای سال 1402 در مجله کومش  مبلغ 12.000.000ریال (یک میلیون و دویست هزار تومان) می باشد. که نویسنده مسئول می بایست جهت دریافت نامه پذیرش به حساب درآمد های دانشگاه واریز نمایند تا گواهی پذیرش مقاله صادر و مراحل بعدی انتشار مقاله انجام شود.
تبصره: این مصوبه شامل مقالاتی که نویسنده مسئول مقاله از همکاران دانشگاه علوم پزشکی سمنان باشد نمی شود.
..
لیست داوران پیشنهادی
..
جستجو در پایگاه

جستجوی پیشرفته
..
دریافت اطلاعات پایگاه
نشانی پست الکترونیک خود را برای دریافت اطلاعات و اخبار پایگاه، در کادر زیر وارد کنید.
..
Google Scholar Metrics

Citation Indices from GS

AllSince 2019
Citations87554266
h-index3821
i10-index272121

..
:: جلد 22، شماره 1 - ( زمستان 1398 ) ::
جلد 22 شماره 1 صفحات 27-10 برگشت به فهرست نسخه ها
بررسی روش‌های شناسایی بیماری آلزایمر با استفاده از آنالیز الگوی راه رفتن
محمود سیف اللهی ، هادی سلطانی‌زاده ، افسون حسنی مهربان ، فاطمه خمسه
چکیده:   (6333 مشاهده)
هدف: شناسایی زودهنگام بیماری آلزایمر به عنوان یک بیماری تخریب‌گر مغزی و شایع‌ترین عامل دمانس در سالمندان، با استفاده از آنالیز الگوی راه رفتن مورد توجه ویژه محققین در سال‌های اخیر قرار گرفته است. زیرا این روش نوین غیرتهاجمی، کم‌هزینه‌تر و قابل انجام در محیط‌های غیرکلینیکی و آزمایشگاهی است. بنابراین، در این مقاله مروری، شناسایی بیماری آلزایمر   به‌وسیله آنالیز الگوی راه رفتن با استفاده از ابزارهای فناوری اطلاعات در مطالعات پیشین، بررسی شد. مواد و روش‌ها: جست‌وجوی مقالات پیشین در پایگاه‌های اطلاعاتی مانند Google Scholar، Pubmed، IEEE، Springer و Elsevier انجام شد. پس از یافتن مقالات در این پایگاه‌ها، مقالات مناسب بر اساس معیارهایی مانند تمرکز مطالعه بر روی سالمندان با بیماری آلزایمر یا اختلالات شناختی خفیف، شناسایی و ارزیابی بیماری آلزایمر، استفاده از فناوری سنسورها برای ثبت راه رفتن، برای بررسی انتخاب شدند. یافته‌ها: با استفاده از آنالیز الگوی راه رفتن به‌وسیله ابزارهای نوین مبتنی بر سنسورها و فناوری اطلاعات می‌توان به شناسایی بیماری آلزایمر، حتی در مراحل اولیه و نیز در مرحله اختلالات شناختی خفیف پرداخت. هم‌چنین با تکیه بر ترکیب فناوری‌های مختلف سنسورها و استفاده از روش‌های هوش مصنوعی امکان ارزیابی کمی و شناسایی دقیق‌تر بیماری فراهم می‌شود. نتیجه‌گیری: اگر چه آنالیز الگوی راه رفتن می‌تواند ابزار جدیدی برای شناسایی زودهنگام بیماری آلزایمر باشد، اما برای استفاده از آن به عنوان یک ابزار مطمئن در کلینیک‌ها نیاز به توسعه و بهبود آن با تکیه بر فناوری سنسورها و هوش مصنوعی دارد.
واژه‌های کلیدی: بیماری آلزایمر، الگوی راه رفتن، فناوری اطلاعات، پردازش تصویر به کمک رایانه، یادگیری ماشین، هوش مصنوعی
متن کامل [PDF 1409 kb]   (2602 دریافت)    
نوع مطالعه: مروري | موضوع مقاله: عمومى
دریافت: 1397/7/3 | پذیرش: 1398/4/4 | انتشار: 1398/10/14
فهرست منابع
1. [1] Alzheimer's Association Report. 2017Alzheimer's disease facts and figures. Alzheimer's Dement 2017; 13: 325-373. [DOI:10.1016/j.jalz.2017.02.001]
2. [2] Doost mohammad pour J, Hosseinmardi N, Janahmadi M, Ebrahimi S, Fathollahi Y, Motamedi F. Induction of a rat model of Alzheimer's disease by amyloid-β did not change short term synaptic plasticity in CA1 area of hippocampus. Koomesh 2014; 16: 76-81. (Persian).
3. [3] Ravari A, Mirzaei T, Salamizadeh A, Askari Majdabadi H. Effect of the spiritual care training on anxiety reduction in home caregivers of the elderly with Alzheimer disease. Koomesh 2017; 19: 467-474. (Persian).
4. [4] Aramendi AA, Aztiria A, Basarab A. On the early diagnosis of Alzheimer's disease from multimodal signals: A survey. Artif Intell Med 2016; 71: 1-29. [DOI:10.1016/j.artmed.2016.06.003]
5. [5] IJmker T, Lamoth CJ. Gait and cognition: The relationship between gait stability and variability with executive function in persons with and without dementia. Gait Posture 2012; 35: 126-130. [DOI:10.1016/j.gaitpost.2011.08.022]
6. [6] Malouin F, Richards CL, Jackson PL, Dumas F, Doyon J. Brain activations during motor imagery of locomotor-related tasks: a PET study. Hum Brain Mapp 2003; 19: 47-62. [DOI:10.1002/hbm.10103]
7. [7] Nakamura T, Meguro K, Yamazaki H, Okuzumi H, Tanaka A, Horikawa A, et al. Postural and gait disturbance correlated with decreased frontal cerebral blood flow in Alzheimer disease. Alzheimer Dis Assoc Disord 1997; 11: 132-139. [DOI:10.1097/00002093-199709000-00005]
8. [8] Lam KY, Tsang WHN, Han S, Zhang W, Ng JKY, Nath A. Activity tracking and monitoring of patients with alzheimer's disease. Multimed Tools Appl 2017; 76: 489-521. [DOI:10.1007/s11042-015-3047-x]
9. [9] Webster KE, Merory JR, Wittwer JE. Gait variability in community dwelling adults with Alzheimer disease. Alzheimer Dis Assoc Disord 2006; 20: 37-40. [DOI:10.1097/01.wad.0000201849.75578.de]
10. [10] Merory JR, Wittwer JE, Rowe CC, Webster KE. Quantitative gait analysis in patients with dementia with Lewy bodies and Alzheimer's disease. Gait Posture 2007; 26: 414-419. [DOI:10.1016/j.gaitpost.2006.10.006]
11. [11] Beauchet O, Allali G, Berrut G, Hommet C, Dubost V, Assal F. Gait analysis in demented subjects: Interests and perspectives. Neuropsychiatr Dis Treat 2008; 4: 155-160. [DOI:10.2147/NDT.S2070]
12. [12] Ries JD, Echternach JL, Nof L, Blodgett MG. Test-retest reliability and minimal detectable change scores for the timed "Up & Go"test, the six-minute walk test, and gait speed in people with Alzheimer disease. Phys Ther 2009; 89: 569-579. [DOI:10.2522/ptj.20080258]
13. [13] Gillain S, Warzee E, Lekeu F, Wojtasik V, Maquet D, Croisier JL, et al. The value of instrumental gait analysis in elderly healthy, MCI or Alzheimer's disease subjects and a comparison with other clinical tests used in single and dual-task conditions. Ann Phys Rehabil Med 2009; 52: 453-474. [DOI:10.1016/j.rehab.2008.10.004]
14. [14] Maquet D, Lekeu F, Warzee E, Gillain S, Wojtasik V, Salmon E, et al. Gait analysis in elderly adult patients with mild cognitive impairment and patients with mild Alzheimer's disease: simple versus dual task: a preliminary report. Clin Physiol Funct Imaging 2010; 30: 51-56. [DOI:10.1111/j.1475-097X.2009.00903.x]
15. [15] Choi JS, Oh HS, Kang DW, Mun KR, Choi MH, Lee SJ, et al. Comparison of gait and cognitive function among the elderly with Alzheimer's disease, mild cognitive impairment and healthy. Int J Prec Engin Manufact 2011; 12: 169-173. [DOI:10.1007/s12541-011-0024-9]
16. [16] Muir SW, Speechley M, Wells J, Borrie M, Gopaul K, Montero-Odasso M. Gait assessment in mild cognitive impairment and Alzheimer's disease: The effect of dual-task challenges across the cognitive spectrum. Gait Posture 2012; 35: 96-100. [DOI:10.1016/j.gaitpost.2011.08.014]
17. [17] Chung P, Hsu Y, Wang C, Lin C, Wang J, Pai M. Gait analysis for patients with Alzheimer's disease using a triaxial accelerometer. Proceedings of the 2012 IEEE International Symposium on Circuits and Systems; 2012 May 20-23; Seoul, South Korea, p.1323-1326. [DOI:10.1109/ISCAS.2012.6271484]
18. [18] Cedervall Y, Halvorsen K, Aberg AC. A longitudinal study of gait function and characteristics of gait disturbance in individuals with Alzheimer's disease. Gait Posture 2014; 39: 1022-1027. [DOI:10.1016/j.gaitpost.2013.12.026]
19. [19] Boripuntakul S, Lord SR, Brodie MA, Smith ST, Methapatara P, Wongpakaran N, et al. Spatial variability during gait initiation while dual tasking is increased in individuals with mild cognitive impairment. J Nutr Health Aging 2014; 18: 307-312. [DOI:10.1007/s12603-013-0390-3]
20. [20] Wang WH, Hsu YL, Pai MC, Wang CH, Wang CY, Lin CW, et al. Alzheimer's disease classification based on gait information. Proceedings of the International Joint Conference on Neural Networks (IJCNN); 2014 July 6-11; Beijing, China, p.3251-3257.
21. [21] Hsu YL, Chung PC, Wang WH, Pai MC, Wang CY, Lin CW, et al. Gait and balance analysis for patients with Alzheimer's disease using an inertial-sensor-based wearable instrument. IEEE J Biomed Health Inform 2014; 18: 1822-1830. [DOI:10.1109/JBHI.2014.2325413]
22. [22] Gras LZ, Kanaan SF, McDowd JM, Colgrove YM, Burns J, Pohl PS. Balance and gait of adults with very mild Alzheimer dsease. J Geriatr Phys Ther 2015; 38: 1-7. [DOI:10.1519/JPT.0000000000000020]
23. [23] Akl A, Taati B, Mihailidis A. Autonomous unobtrusive detection of mild cognitive impairment in older adults. IEEE Trans Biomed Eng 2015, 62: 1383-1394. [DOI:10.1109/TBME.2015.2389149]
24. [24] Gillain S, Drame M, Lekeu F, Wojtasik V, Ricour C, Criosier JL. Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study. Aging Clin Exp Res 2016; 28: 249-255. [DOI:10.1007/s40520-015-0392-6]
25. [25] Wang WH, Wu HL, Chung PC, Pai M. An HMM -based gait comparison: using Alzheimer's disease patients as examples. Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN); 2015 July 12-17; Killarney, Ireland: IEEE, p.1-6. [DOI:10.1109/IJCNN.2015.7280795]
26. [26] Rucco R, Agosti V, Jacini F, Sorrentino P, Varriale P, Stefano MD. Spatio-temporal and kinematic gait analysis in patients with Frontotemporal dementia and Alzheimer's disease through 3D motion capture. Gait Posture 2016; 52: 312-317. [DOI:10.1016/j.gaitpost.2016.12.021]
27. [27] Borges SD, Radanovic M, Forlenza OV. Correlation between functional mobility and cognitive performance in older adults with cognitive impairment. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 2016; 25: 23-32. [DOI:10.1080/13825585.2016.1258035]
28. [28] Montero-Odasso MM, Sarquis-Adamson Y, Speechley M, Borrie MJ, Hachinski VC, Wells J, et al. Association of dual-task gait with incident dementia in mild cognitive impairment. JAMA Neurol 2017; 74: 857-865. [DOI:10.1001/jamaneurol.2017.0643]
29. [29] Taylor ME, Lasschuit DA, Lord SR, Delbaere K, Kurrle SE, Mikolaizak AS, et al. Slow gait speed Iis associatedwith executive function decline in older people with mild to moderatedementia: a one year longitudinal study. Arch Gerontol Geriatr 2017; 73: 148-153. [DOI:10.1016/j.archger.2017.07.023]
30. [30] MacAulay RK, Wagner MT, Szeles D, Milano NJ. Improving sensitivity to detect mild cognitive impairment: cognitive load dual-task gait speed assessment. J Int Neuropsychol Soc 2017; 23: 493-501. [DOI:10.1017/S1355617717000261]
31. [31] König A, Klaming L, Pijl M, Demeurraux A, David R, Robert P. Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm. Aging Clin Exp Res 2017; 29: 1181-1189. [DOI:10.1007/s40520-016-0703-6]
32. [32] Varatharajan R, Manogaran G, Priyan MK. Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Cluster Comput 2017; 1-10. [DOI:10.1007/s10586-017-0977-2]
33. [33] Callisaya ML, PLaunay CP, Srikanth VK, Verghese J, Allali G, Beauchet O. Cognitive status, fast walking speed and walking speed reserve-the Gait and Alzheimer interactions tracking (GAIT) study. Gero Sci 2017; 39: 231-239. [DOI:10.1007/s11357-017-9973-y]
34. [34] Hausdorff JM, Hillel I, Shustak S, Din SD, Bekkers EM, Pelosin E. Everyday stepping quantity and quality among older adult fallers with and without mild cognitive impairment: initial evidence for new motor markers of cognitive deficits? J Gerontol A Biol Sci Med Sci 2017; 73: 1-5. [DOI:10.1093/gerona/glx187]
35. [35] Ardlea RM, Morris R, Hickey A, Dina SD, Koychev I, Gunnc RN. Gait in mild Alzheimer's disease: feasibility of multi-center measurement in the clinic and home with body-worn sensors: a pilot study. J Alzheimers Dis 2018; 63: 331-341. [DOI:10.3233/JAD-171116]
36. [36] Lee L, Grimson WE. Gait analysis for recognition and classification. Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition; 2002 May 21-21; Washington, DC, USA, p.1-8.
37. [37] Valkanova V, Ebmeier K P. What can gait tell us about dementia? Review of epidemiological and neuropsychological evidence. Gait Posture 2017; 53: 215-223. [DOI:10.1016/j.gaitpost.2017.01.024]
38. [38] Pirker W, Katzenschlager R. Gait disorders in adults and the elderly: A clinical guide. Wien Klin Wochenschr 2017; 129: 81-95. [DOI:10.1007/s00508-016-1096-4]
39. [39] Pourghayoomi E, Negahdar F, Shahidi G, Mehraban AH, Ebrahimi I, Taghizadeh G, et al. Correlation between functional balance and mobility tests and postural sway measures in dual task paradigm in Parkinson's disease (a pilot study). J Basic Clin Pathophysiol 2014; 2: 1-12.
40. [40] Allan LM, Ballard C G, Burn D J, Kenny RA. Prevalence and severity of gait disorders in Alzheimer's and non-Alzheimer's dementias. J Am Geriatr Soc 2005; 53: 1681-1687. [DOI:10.1111/j.1532-5415.2005.53552.x]
41. [41] Herran AM, Garcia-Zapirain B, Mendez-Zorrilla A. Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 2014; 14: 3362-3395. [DOI:10.3390/s140203362]
42. [42] Tao W, Liu T, Zheng R, Feng H. Gait analysis using wearable sensors. Sensors 2012; 12: 2255-2283. [DOI:10.3390/s120202255]
43. [43] Schneider B, Banerjee T. Activity recognition using imagery for smart home monitoring. Adv Soft Comput Machine Learn Image Proc Studi Comput Int 2017; 730: 355-371. [DOI:10.1007/978-3-319-63754-9_16]
44. [44] Do TN, Suh YS. Gait analysis using floor markers and inertial sensors. Sensors 2012; 12: 1594-1611. [DOI:10.3390/s120201594]
45. [45] Middleton, L, Buss AA, Bazin A, Nixon MS. A floor sensor system for gait recognition. Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies; 2005 Oct 17-18; Buffalo, NY, USA, p.171-176.
46. [46] Chen SW, Lin SH, Liao LD, Lai HY, Pei YC, Kuo TS, et al. Quantification and recognition of parkinsonian gait from monocular video imaging using kernel based principal component analysis. Biomed Eng Online 2011; 10: 1-21. [DOI:10.1186/1475-925X-10-99]
47. [47] Imani Z, Soltanizadeh H. Person reidentification using local pattern descriptors and anthropometric measures from videos of Kinect sensor. IEEE Sensors J 2016; 16: 6227-6238. [DOI:10.1109/JSEN.2016.2579645]
48. [1] Alzheimer's Association Report. 2017Alzheimer's disease facts and figures. Alzheimer's Dement 2017; 13: 325-373. [DOI:10.1016/j.jalz.2017.02.001]
49. [2] Doost mohammad pour J, Hosseinmardi N, Janahmadi M, Ebrahimi S, Fathollahi Y, Motamedi F. Induction of a rat model of Alzheimer's disease by amyloid-β did not change short term synaptic plasticity in CA1 area of hippocampus. Koomesh 2014; 16: 76-81. (Persian).
50. [3] Ravari A, Mirzaei T, Salamizadeh A, Askari Majdabadi H. Effect of the spiritual care training on anxiety reduction in home caregivers of the elderly with Alzheimer disease. Koomesh 2017; 19: 467-474. (Persian).
51. [4] Aramendi AA, Aztiria A, Basarab A. On the early diagnosis of Alzheimer's disease from multimodal signals: A survey. Artif Intell Med 2016; 71: 1-29. [DOI:10.1016/j.artmed.2016.06.003]
52. [5] IJmker T, Lamoth CJ. Gait and cognition: The relationship between gait stability and variability with executive function in persons with and without dementia. Gait Posture 2012; 35: 126-130. [DOI:10.1016/j.gaitpost.2011.08.022]
53. [6] Malouin F, Richards CL, Jackson PL, Dumas F, Doyon J. Brain activations during motor imagery of locomotor-related tasks: a PET study. Hum Brain Mapp 2003; 19: 47-62. [DOI:10.1002/hbm.10103]
54. [7] Nakamura T, Meguro K, Yamazaki H, Okuzumi H, Tanaka A, Horikawa A, et al. Postural and gait disturbance correlated with decreased frontal cerebral blood flow in Alzheimer disease. Alzheimer Dis Assoc Disord 1997; 11: 132-139. [DOI:10.1097/00002093-199709000-00005]
55. [8] Lam KY, Tsang WHN, Han S, Zhang W, Ng JKY, Nath A. Activity tracking and monitoring of patients with alzheimer's disease. Multimed Tools Appl 2017; 76: 489-521. [DOI:10.1007/s11042-015-3047-x]
56. [9] Webster KE, Merory JR, Wittwer JE. Gait variability in community dwelling adults with Alzheimer disease. Alzheimer Dis Assoc Disord 2006; 20: 37-40. [DOI:10.1097/01.wad.0000201849.75578.de]
57. [10] Merory JR, Wittwer JE, Rowe CC, Webster KE. Quantitative gait analysis in patients with dementia with Lewy bodies and Alzheimer's disease. Gait Posture 2007; 26: 414-419. [DOI:10.1016/j.gaitpost.2006.10.006]
58. [11] Beauchet O, Allali G, Berrut G, Hommet C, Dubost V, Assal F. Gait analysis in demented subjects: Interests and perspectives. Neuropsychiatr Dis Treat 2008; 4: 155-160. [DOI:10.2147/NDT.S2070]
59. [12] Ries JD, Echternach JL, Nof L, Blodgett MG. Test-retest reliability and minimal detectable change scores for the timed "Up & Go"test, the six-minute walk test, and gait speed in people with Alzheimer disease. Phys Ther 2009; 89: 569-579. [DOI:10.2522/ptj.20080258]
60. [13] Gillain S, Warzee E, Lekeu F, Wojtasik V, Maquet D, Croisier JL, et al. The value of instrumental gait analysis in elderly healthy, MCI or Alzheimer's disease subjects and a comparison with other clinical tests used in single and dual-task conditions. Ann Phys Rehabil Med 2009; 52: 453-474. [DOI:10.1016/j.rehab.2008.10.004]
61. [14] Maquet D, Lekeu F, Warzee E, Gillain S, Wojtasik V, Salmon E, et al. Gait analysis in elderly adult patients with mild cognitive impairment and patients with mild Alzheimer's disease: simple versus dual task: a preliminary report. Clin Physiol Funct Imaging 2010; 30: 51-56. [DOI:10.1111/j.1475-097X.2009.00903.x]
62. [15] Choi JS, Oh HS, Kang DW, Mun KR, Choi MH, Lee SJ, et al. Comparison of gait and cognitive function among the elderly with Alzheimer's disease, mild cognitive impairment and healthy. Int J Prec Engin Manufact 2011; 12: 169-173. [DOI:10.1007/s12541-011-0024-9]
63. [16] Muir SW, Speechley M, Wells J, Borrie M, Gopaul K, Montero-Odasso M. Gait assessment in mild cognitive impairment and Alzheimer's disease: The effect of dual-task challenges across the cognitive spectrum. Gait Posture 2012; 35: 96-100. [DOI:10.1016/j.gaitpost.2011.08.014]
64. [17] Chung P, Hsu Y, Wang C, Lin C, Wang J, Pai M. Gait analysis for patients with Alzheimer's disease using a triaxial accelerometer. Proceedings of the 2012 IEEE International Symposium on Circuits and Systems; 2012 May 20-23; Seoul, South Korea, p.1323-1326. [DOI:10.1109/ISCAS.2012.6271484]
65. [18] Cedervall Y, Halvorsen K, Aberg AC. A longitudinal study of gait function and characteristics of gait disturbance in individuals with Alzheimer's disease. Gait Posture 2014; 39: 1022-1027. [DOI:10.1016/j.gaitpost.2013.12.026]
66. [19] Boripuntakul S, Lord SR, Brodie MA, Smith ST, Methapatara P, Wongpakaran N, et al. Spatial variability during gait initiation while dual tasking is increased in individuals with mild cognitive impairment. J Nutr Health Aging 2014; 18: 307-312. [DOI:10.1007/s12603-013-0390-3]
67. [20] Wang WH, Hsu YL, Pai MC, Wang CH, Wang CY, Lin CW, et al. Alzheimer's disease classification based on gait information. Proceedings of the International Joint Conference on Neural Networks (IJCNN); 2014 July 6-11; Beijing, China, p.3251-3257.
68. [21] Hsu YL, Chung PC, Wang WH, Pai MC, Wang CY, Lin CW, et al. Gait and balance analysis for patients with Alzheimer's disease using an inertial-sensor-based wearable instrument. IEEE J Biomed Health Inform 2014; 18: 1822-1830. [DOI:10.1109/JBHI.2014.2325413]
69. [22] Gras LZ, Kanaan SF, McDowd JM, Colgrove YM, Burns J, Pohl PS. Balance and gait of adults with very mild Alzheimer dsease. J Geriatr Phys Ther 2015; 38: 1-7. [DOI:10.1519/JPT.0000000000000020]
70. [23] Akl A, Taati B, Mihailidis A. Autonomous unobtrusive detection of mild cognitive impairment in older adults. IEEE Trans Biomed Eng 2015, 62: 1383-1394. [DOI:10.1109/TBME.2015.2389149]
71. [24] Gillain S, Drame M, Lekeu F, Wojtasik V, Ricour C, Criosier JL. Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study. Aging Clin Exp Res 2016; 28: 249-255. [DOI:10.1007/s40520-015-0392-6]
72. [25] Wang WH, Wu HL, Chung PC, Pai M. An HMM -based gait comparison: using Alzheimer's disease patients as examples. Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN); 2015 July 12-17; Killarney, Ireland: IEEE, p.1-6. [DOI:10.1109/IJCNN.2015.7280795]
73. [26] Rucco R, Agosti V, Jacini F, Sorrentino P, Varriale P, Stefano MD. Spatio-temporal and kinematic gait analysis in patients with Frontotemporal dementia and Alzheimer's disease through 3D motion capture. Gait Posture 2016; 52: 312-317. [DOI:10.1016/j.gaitpost.2016.12.021]
74. [27] Borges SD, Radanovic M, Forlenza OV. Correlation between functional mobility and cognitive performance in older adults with cognitive impairment. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 2016; 25: 23-32. [DOI:10.1080/13825585.2016.1258035]
75. [28] Montero-Odasso MM, Sarquis-Adamson Y, Speechley M, Borrie MJ, Hachinski VC, Wells J, et al. Association of dual-task gait with incident dementia in mild cognitive impairment. JAMA Neurol 2017; 74: 857-865. [DOI:10.1001/jamaneurol.2017.0643]
76. [29] Taylor ME, Lasschuit DA, Lord SR, Delbaere K, Kurrle SE, Mikolaizak AS, et al. Slow gait speed Iis associatedwith executive function decline in older people with mild to moderatedementia: a one year longitudinal study. Arch Gerontol Geriatr 2017; 73: 148-153. [DOI:10.1016/j.archger.2017.07.023]
77. [30] MacAulay RK, Wagner MT, Szeles D, Milano NJ. Improving sensitivity to detect mild cognitive impairment: cognitive load dual-task gait speed assessment. J Int Neuropsychol Soc 2017; 23: 493-501. [DOI:10.1017/S1355617717000261]
78. [31] König A, Klaming L, Pijl M, Demeurraux A, David R, Robert P. Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm. Aging Clin Exp Res 2017; 29: 1181-1189. [DOI:10.1007/s40520-016-0703-6]
79. [32] Varatharajan R, Manogaran G, Priyan MK. Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Cluster Comput 2017; 1-10. [DOI:10.1007/s10586-017-0977-2]
80. [33] Callisaya ML, PLaunay CP, Srikanth VK, Verghese J, Allali G, Beauchet O. Cognitive status, fast walking speed and walking speed reserve-the Gait and Alzheimer interactions tracking (GAIT) study. Gero Sci 2017; 39: 231-239. [DOI:10.1007/s11357-017-9973-y]
81. [34] Hausdorff JM, Hillel I, Shustak S, Din SD, Bekkers EM, Pelosin E. Everyday stepping quantity and quality among older adult fallers with and without mild cognitive impairment: initial evidence for new motor markers of cognitive deficits? J Gerontol A Biol Sci Med Sci 2017; 73: 1-5. [DOI:10.1093/gerona/glx187]
82. [35] Ardlea RM, Morris R, Hickey A, Dina SD, Koychev I, Gunnc RN. Gait in mild Alzheimer's disease: feasibility of multi-center measurement in the clinic and home with body-worn sensors: a pilot study. J Alzheimers Dis 2018; 63: 331-341. [DOI:10.3233/JAD-171116]
83. [36] Lee L, Grimson WE. Gait analysis for recognition and classification. Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition; 2002 May 21-21; Washington, DC, USA, p.1-8.
84. [37] Valkanova V, Ebmeier K P. What can gait tell us about dementia? Review of epidemiological and neuropsychological evidence. Gait Posture 2017; 53: 215-223. [DOI:10.1016/j.gaitpost.2017.01.024]
85. [38] Pirker W, Katzenschlager R. Gait disorders in adults and the elderly: A clinical guide. Wien Klin Wochenschr 2017; 129: 81-95. [DOI:10.1007/s00508-016-1096-4]
86. [39] Pourghayoomi E, Negahdar F, Shahidi G, Mehraban AH, Ebrahimi I, Taghizadeh G, et al. Correlation between functional balance and mobility tests and postural sway measures in dual task paradigm in Parkinson's disease (a pilot study). J Basic Clin Pathophysiol 2014; 2: 1-12.
87. [40] Allan LM, Ballard C G, Burn D J, Kenny RA. Prevalence and severity of gait disorders in Alzheimer's and non-Alzheimer's dementias. J Am Geriatr Soc 2005; 53: 1681-1687. [DOI:10.1111/j.1532-5415.2005.53552.x]
88. [41] Herran AM, Garcia-Zapirain B, Mendez-Zorrilla A. Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 2014; 14: 3362-3395. [DOI:10.3390/s140203362]
89. [42] Tao W, Liu T, Zheng R, Feng H. Gait analysis using wearable sensors. Sensors 2012; 12: 2255-2283. [DOI:10.3390/s120202255]
90. [43] Schneider B, Banerjee T. Activity recognition using imagery for smart home monitoring. Adv Soft Comput Machine Learn Image Proc Studi Comput Int 2017; 730: 355-371. [DOI:10.1007/978-3-319-63754-9_16]
91. [44] Do TN, Suh YS. Gait analysis using floor markers and inertial sensors. Sensors 2012; 12: 1594-1611. [DOI:10.3390/s120201594]
92. [45] Middleton, L, Buss AA, Bazin A, Nixon MS. A floor sensor system for gait recognition. Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies; 2005 Oct 17-18; Buffalo, NY, USA, p.171-176.
93. [46] Chen SW, Lin SH, Liao LD, Lai HY, Pei YC, Kuo TS, et al. Quantification and recognition of parkinsonian gait from monocular video imaging using kernel based principal component analysis. Biomed Eng Online 2011; 10: 1-21. [DOI:10.1186/1475-925X-10-99]
94. [47] Imani Z, Soltanizadeh H. Person reidentification using local pattern descriptors and anthropometric measures from videos of Kinect sensor. IEEE Sensors J 2016; 16: 6227-6238. [DOI:10.1109/JSEN.2016.2579645]
ارسال پیام به نویسنده مسئول

ارسال نظر درباره این مقاله
نام کاربری یا پست الکترونیک شما:

CAPTCHA



XML   English Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Seyfollahi M, Soltanizadeh H, Hasani Mehraban A, Khamseh F. A survey on Alzheimer’s disease detection using gait analysis. Koomesh 1398; 22 (1) :10-27
URL: http://koomeshjournal.semums.ac.ir/article-1-5168-fa.html

سیف اللهی محمود، سلطانی‌زاده هادی، حسنی مهربان افسون، خمسه فاطمه. بررسی روش‌های شناسایی بیماری آلزایمر با استفاده از آنالیز الگوی راه رفتن. كومش. 1398; 22 (1) :10-27

URL: http://koomeshjournal.semums.ac.ir/article-1-5168-fa.html



بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.
جلد 22، شماره 1 - ( زمستان 1398 ) برگشت به فهرست نسخه ها
کومش Koomesh
Persian site map - English site map - Created in 0.05 seconds with 41 queries by YEKTAWEB 4645