Quantification of Daily-Living Gait Quantity and Quality Using a Wrist-Worn Accelerometer in Huntington's Disease

被引:16
|
作者
Keren, Karin [1 ,2 ]
Busse, Monica [3 ]
Fritz, Nora E. [4 ,5 ]
Muratori, Lisa M. [6 ,7 ]
Gazit, Eran [1 ]
Hillel, Inbar [1 ]
Scheinowitz, Micky [8 ]
Gurevich, Tanya [9 ,10 ]
Inbar, Noit [9 ]
Omer, Nurit [9 ,10 ]
Hausdorff, Jeffrey M. [1 ,10 ,11 ,12 ,13 ]
Quinn, Lori [3 ,14 ]
机构
[1] Tel Aviv Sourasky Med Ctr, Neurol Inst, Ctr Study Movement Cognit & Mobil, Tel Aviv, Israel
[2] Tel Aviv Univ, Dept Biomed Engn, Tel Aviv, Israel
[3] Cardiff Univ, Ctr Trials Res, Cardiff, Wales
[4] Wayne State Univ, Dept Hlth Care Sci, Detroit, MI 48202 USA
[5] Wayne State Univ, Dept Neurol, Detroit, MI 48202 USA
[6] SUNY Stony Brook, Sch Hlth Technol & Management, Dept Phys Therapy, Stony Brook, NY USA
[7] George Huntingtons Inst, Munster, Germany
[8] Tel Aviv Univ, Sch Publ Hlth, Tel Aviv, Israel
[9] Tel Aviv Med Ctr & Sch Med, Movement Disorders Unit, Tel Aviv, Israel
[10] Tel Aviv Univ, Sackler Sch Med & Sagol, Sch Neurosci, Tel Aviv, Israel
[11] Tel Aviv Univ, Dept Phys Therapy, Sackler Fac Med, Tel Aviv, Israel
[12] Rush Univ, Med Ctr, Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA
[13] Rush Univ, Med Ctr, Dept Orthopaed Surg, Chicago, IL 60612 USA
[14] Columbia Univ, Teachers Coll, Dept Biobehav Sci, New York, NY 10027 USA
来源
FRONTIERS IN NEUROLOGY | 2021年 / 12卷
关键词
accelerometry; physical activity; digital markers; inertial measurements; chorea; PARKINSONS-DISEASE; SENSOR; BALANCE;
D O I
10.3389/fneur.2021.719442
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Huntington's disease (HD) leads to altered gait patterns and reduced daily-living physical activity. Accurate measurement of daily-living walking that takes into account involuntary movements (e.g. chorea) is needed.</p> Objective: To evaluate daily-living gait quantity and quality in HD, taking into account irregular movements.</p> Methods: Forty-two individuals with HD and fourteen age-matched non-HD peers completed clinic-based assessments and a standardized laboratory-based circuit of functional activities, wearing inertial measurement units on the wrists, legs, and trunk. These activities were used to train and test an algorithm for the automated detection of walking. Subsequently, 29 HD participants and 22 age-matched non-HD peers wore a tri-axial accelerometer on their non-dominant wrist for 7 days. Measures included gait quantity (e.g., steps per day), gait quality (e.g., regularity) metrics, and percentage of walking bouts with irregular movements.</p> Results: Measures of daily-living gait quantity including step counts, walking time and bouts per day were similar in HD participants and non-HD peers (p > 0.05). HD participants with higher clinician-rated upper body chorea had a greater percentage of walking bouts with irregular movements compared to those with lower chorea (p = 0.060) and non-HD peers (p < 0.001). Even after accounting for irregular movements, within-bout walking consistency was lower in HD participants compared to non-HD peers (p < 0.001), while across-bout variability of these measures was higher (p < 0.001). Many of the daily-living measures were associated with disease-specific measures of motor function.</p> Conclusions: Results suggest that a wrist-worn accelerometer can be used to evaluate the quantity and quality of daily-living gait in people with HD, while accounting for the influence of irregular (choreic-like) movements, and that gait features related to within- and across-bout consistency markedly differ in individuals with HD and non-HD peers.</p>
引用
收藏
页数:10
相关论文
共 27 条
  • [1] Personalized gait detection using a wrist-worn accelerometer
    Cola, Guglielmo
    Avvenuti, Marco
    Musso, Fabio
    Vecchio, Alessio
    2017 IEEE 14TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN), 2017, : 173 - 177
  • [2] Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
    Brand, Yonatan E.
    Kluge, Felix
    Palmerini, Luca
    Paraschiv-Ionescu, Anisoara
    Becker, Clemens
    Cereatti, Andrea
    Maetzler, Walter
    Sharrack, Basil
    Vereijken, Beatrix
    Yarnall, Alison J.
    Rochester, Lynn
    Del Din, Silvia
    Muller, Arne
    Buchman, Aron S.
    Hausdorff, Jeffrey M.
    Perlman, Or
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] USING WRIST-WORN ACTIGRAPHIC DEVICES TO MEASURE SLEEP IN PEOPLE WITH HUNTINGTON'S DISEASE
    Dao, P. D.
    Maskevich, S.
    Jumabhoy, R.
    Drummond, S. P.
    Stout, J. C.
    SLEEP, 2017, 40 : A434 - A434
  • [4] Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson's Disease Using a Wrist-Worn Accelerometer
    Habets, Jeroen G. V.
    Herff, Christian
    Kubben, Pieter L.
    Kuijf, Mark L.
    Temel, Yasin
    Evers, Luc J. W.
    Bloem, Bastiaan R.
    Starr, Philip A.
    Gilron, Ro'ee
    Little, Simon
    SENSORS, 2021, 21 (23)
  • [5] CHARACTERIZATION OF GAIT PATTERNS IN PRODROMAL PARKINSON'S DISEASE IN FREE-LIVING CONDITIONS USING WRIST-WORN ACTIGRAPHY
    Brink-Kjaer, A.
    Wickramaratne, S. D.
    Marwaha, S.
    Jennum, P.
    Mignot, E.
    Parekh, A.
    During, E.
    SLEEP MEDICINE, 2024, 115 : 302 - 302
  • [6] Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson's Disease
    Brand, Yonatan E.
    Schwartz, Dafna
    Gazit, Eran
    Buchman, Aron S.
    Gilad-Bachrach, Ran
    Hausdorff, Jeffrey M.
    SENSORS, 2022, 22 (18)
  • [7] Estimating Free-living Physical Activity Using A Wrist-worn Actigraph Accelerometer: Can It Be Done?
    Petrucci, Greg J., Jr.
    Marcotte, Robert T.
    Cox, Melanna F.
    Staudenmayer, John
    Freedson, Patty S.
    Sirard, John R.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2019, 51 (06): : 164 - 165
  • [8] Insights On Free-living Sedentary Behavior Estimates Using A Hip- Or Wrist-worn Accelerometer
    Marcotte, Robert T.
    Petrucci, Greg J., Jr.
    Cox, Melanna F.
    Freedson, Patty S.
    Staudenmayer, John W.
    Sirard, John R.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2019, 51 (06): : 163 - 163
  • [9] The role of wrist-worn technology in the management of Parkinson's disease in daily life: A narrative review
    Li, Peng
    van Wezel, Richard
    He, Fei
    Zhao, Yifan
    Wang, Ying
    FRONTIERS IN NEUROINFORMATICS, 2023, 17
  • [10] What's Our Vector Victor? Classification of Physical Activity Intensities Using a Wrist-Worn Accelerometer
    Chandler, Jessica L.
    Brazendale, Keith
    Mealing, Breonna A.
    Beets, Michael W.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2015, 47 (05): : 926 - 926