Role of Body-Worn Movement Monitor Technology for Balance and Gait Rehabilitation

被引:158
作者
Horak, Fay [1 ,2 ,3 ]
King, Laurie [4 ]
Mancini, Martina [4 ]
机构
[1] Oregon Hlth & Sci Univ, Dept Neurol, Balance Disorders Lab, Portland, OR 97239 USA
[2] Portland VA Hlth Care Syst VAPORHCS, Portland, OR USA
[3] APDM Inc, Portland, OR USA
[4] Oregon Hlth & Sci Univ, Dept Neurol, Sch Med, Portland, OR 97239 USA
来源
PHYSICAL THERAPY | 2015年 / 95卷 / 03期
关键词
ERROR SCORING SYSTEM; FALL-RISK; PARKINSONS-DISEASE; OLDER-ADULTS; AMBULATORY ACTIVITY; POSTURAL STABILITY; MULTIPLE-SCLEROSIS; WEARABLE SENSORS; GO; ACCELEROMETER;
D O I
10.2522/ptj.20140253
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
This perspective article will discuss the potential role of body-worn movement monitors for balance and gait assessment and treatment in rehabilitation. Recent advances in inexpensive, wireless sensor technology and smart devices are resulting in an explosion of miniature, portable sensors that can quickly and accurately quantify body motion. Practical and useful movement monitoring systems are now becoming available. It is critical that therapists understand the potential advantages and limitations of such emerging technology. One important advantage of obtaining objective measures of balance and gait from body-worn sensors is impairment-level metrics characterizing how and why functional performance of balance and gait activities are impaired. Therapy can then be focused on the specific physiological reasons for difficulty in walking or balancing during specific tasks. A second advantage of using technology to measure balance and gait behavior is the increased sensitivity of the balance and gait measures to document mild disability and change with rehabilitation. A third advantage of measuring movement, such as postural sway and gait characteristics, with body-worn sensors is the opportunity for immediate biofeedback provided to patients that can focus attention and enhance performance. In the future, body-worn sensors may allow therapists to perform telerehabilitation to monitor compliance with home exercise programs and the quality of their natural mobility in the community. Therapists need technological systems that are quick to use and provide actionable information and useful reports for their patients and referring physicians. Therapists should look for systems that provide measures that have been validated with respect to gold standard accuracy and to clinically relevant outcomes such as fall risk and severity of disability.
引用
收藏
页码:461 / 470
页数:10
相关论文
共 67 条
  • [11] Wearable systems for monitoring mobility-related activities in older people: a systematic review
    de Bruin, Eling D.
    Hartmann, Antonia
    Uebelhart, Daniel
    Murer, Kurt
    Zijlstra, Wiebren
    [J]. CLINICAL REHABILITATION, 2008, 22 (10-11) : 878 - 895
  • [12] The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study
    Doi, Takehiko
    Hirata, Soichiro
    Ono, Rei
    Tsutsumimoto, Kota
    Misu, Shogo
    Ando, Hiroshi
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2013, 10 : 7
  • [13] Audio-biofeedback improves balance in patients with bilateral vestibular loss
    Dozza, M
    Chiari, L
    Horak, FB
    [J]. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2005, 86 (07): : 1401 - 1403
  • [14] Dozza M, 2007, J VESTIBUL RES-EQUIL, V17, P195
  • [15] Auditory biofeedback substitutes for loss of sensory information in maintaining stance
    Dozza, Marco
    Horak, Fay B.
    Chiari, Lorenzo
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2007, 178 (01) : 37 - 48
  • [16] Continuous Monitoring of Turning in Patients with Movement Disability
    El-Gohary, Mahmoud
    Pearson, Sean
    McNames, James
    Mancini, Martina
    Horak, Fay
    Mellone, Sabato
    Chiari, Lorenzo
    [J]. SENSORS, 2014, 14 (01): : 356 - 369
  • [17] Functional calibration procedure for 3D knee joint angle description using inertial sensors
    Favre, J.
    Aissaoui, R.
    Jolles, B. M.
    de Guise, J. A.
    Aminian, K.
    [J]. JOURNAL OF BIOMECHANICS, 2009, 42 (14) : 2330 - 2335
  • [18] First in vivo assessment of "Outwalk": a novel protocol for clinical gait analysis based on inertial and magnetic sensors
    Ferrari, Alberto
    Cutti, Andrea Giovanni
    Garofalo, Pietro
    Raggi, Michele
    Heijboer, Monique
    Cappello, Angelo
    Davalli, Angelo
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2010, 48 (01) : 1 - 15
  • [19] Differences in trunk accelerometry between frail and non-frail elderly persons in functional tasks
    Galán-Mercant A.
    Cuesta-Vargas A.I.
    [J]. BMC Research Notes, 7 (1)
  • [20] Will my patient fall?
    Ganz, David A.
    Bao, Yeran
    Shekelle, Paul G.
    Rubenstein, Laurence Z.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2007, 297 (01): : 77 - 86