Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different.

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  • Additional Information
    • Source:
      Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
    • Publication Information:
      Publication: New York, NY : Springer
      Original Publication: Stevenage, Eng., Peregrinus.
    • Subject Terms:
      Activities of Daily Living* ; Wavelet Analysis*; Gait/*physiology ; Monitoring, Ambulatory/*instrumentation; Acceleration ; Aged ; Aged, 80 and over ; Algorithms ; Decision Trees ; Female ; Humans ; Male
    • Abstract:
      Morbidity and falls are problematic for older people. Wearable devices are increasingly used to monitor daily activities. However, sensors often require rigid attachment to specific locations and shuffling or quiet standing may be confused with walking. Furthermore, it is unclear whether clinical gait assessments are correlated with how older people usually walk during daily life. Wavelet transformations of accelerometer and barometer data from a pendant device worn inside or outside clothing were used to identify walking (excluding shuffling or standing) by 51 older people (83 ± 4 years) during 25 min of 'free-living' activities. Accuracy was validated against annotated video. Training and testing were separated. Activities were only loosely structured including noisy data preceding pendant wearing. An electronic walkway was used for laboratory comparisons. Walking was classified (accuracy ≥97 %) with low false-positive errors (≤1.9%, κ ≥ 0.90). Median free-living cadence was lower than laboratory-assessed cadence (101 vs. 110 steps/min, p < 0.001) but correlated (r = 0.69). Free-living step time variability was significantly higher and uncorrelated with laboratory-assessed variability unless detrended. Remote gait impairment monitoring using wearable devices is feasible providing new ways to investigate morbidity and falls risk. Laboratory-assessed gait performances are correlated with free-living walks, but likely reflect the individual's 'best' performance.
    • References:
      Phys Ther. 2003 Mar;83(3):237-52. (PMID: 12620088)
      Med Biol Eng Comput. 2013 Feb;51(1-2):153-64. (PMID: 23132525)
      Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6892-5. (PMID: 25571580)
      J Am Geriatr Soc. 2012 Nov;60(11):2127-36. (PMID: 23110433)
      IEEE Trans Biomed Eng. 2015 Nov;62(11):2588-94. (PMID: 25993701)
      Conf Proc IEEE Eng Med Biol Soc. 2011;2011:369-72. (PMID: 22254325)
      Age Ageing. 2010 Mar;39(2):259-62. (PMID: 20083616)
      Med Hypotheses. 2015 Apr;84(4):356-62. (PMID: 25682187)
      Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5018-21. (PMID: 21096022)
      Physiol Meas. 2014 Nov;35(11):2269-86. (PMID: 25340659)
      IEEE Trans Biomed Eng. 2003 Jun;50(6):711-23. (PMID: 12814238)
      Med Biol Eng Comput. 1999 May;37(3):304-8. (PMID: 10505379)
      Med Eng Phys. 2008 Dec;30(10):1364-86. (PMID: 18996729)
      Eur J Ageing. 2007 Feb 6;4(1):3-12. (PMID: 28794767)
      Conf Proc IEEE Eng Med Biol Soc. 2006;1:1711-4. (PMID: 17945661)
      J Neurol Neurosurg Psychiatry. 2000 Oct;69(4):479-86. (PMID: 10990508)
      Physiol Meas. 2015 May;36(5):857-72. (PMID: 25831990)
      Aging Clin Exp Res. 2006 Apr;18(2):174-6. (PMID: 16702791)
      Exp Brain Res. 2014 Jan;232(1):51-60. (PMID: 24091775)
      IEEE Trans Neural Syst Rehabil Eng. 2002 Sep;10(3):188-96. (PMID: 12503784)
      Gait Posture. 2009 Aug;30(2):192-6. (PMID: 19477649)
      Clin Biomech (Bristol, Avon). 1998 Jun;13(4-5):328-335. (PMID: 11415804)
      Neurorehabil Neural Repair. 2015 Jan;29(1):54-61. (PMID: 24759809)
      Australas J Ageing. 2012 Dec;31(4):206-7. (PMID: 23252976)
      Sensors (Basel). 2011;11(2):1721-43. (PMID: 22319378)
      Med Biol Eng Comput. 2014 Jan;52(1):29-43. (PMID: 24048958)
      Med Biol Eng Comput. 2012 Apr;50(4):383-93. (PMID: 22418894)
      Med Biol Eng Comput. 2004 Sep;42(5):679-87. (PMID: 15503970)
      Med Biol Eng Comput. 2010 Dec;48(12):1271-9. (PMID: 21052854)
      Int Psychogeriatr. 2010 Dec;22(8):1248-64. (PMID: 20637138)
      Med Eng Phys. 2011 Nov;33(9):1127-35. (PMID: 21636308)
    • Contributed Indexing:
      Keywords: Falls; Gait analysis; Remote; Wavelet; Wearable devices
    • Publication Date:
      Date Created: 20150807 Date Completed: 20170109 Latest Revision: 20220317
    • Publication Date:
      20240829
    • Accession Number:
      10.1007/s11517-015-1357-9
    • Accession Number:
      26245255