Literature DB >> 20829413

A novel approach to ambulatory monitoring: investigation into the quantity and control of everyday walking in patients with subacute stroke.

Sanjay K Prajapati1, William H Gage, Dina Brooks, Sandra E Black, William E McIlroy.   

Abstract

BACKGROUND: Promoting whole body activities, such as walking, can help improve recovery after stroke. However, little information exists regarding the characteristics of daily walking in patients enrolled in rehabilitation poststroke. The objectives of this study were to: (1) examine the quantity of walking and duration of individual bouts of walking during an inpatient day, (2) compare standard laboratory symmetry measures with measures of symmetry captured throughout the day, and (3) investigate the association between quantity of walking and indices of stroke severity.
METHODS: The study examined ambulatory activity among 16 inpatients with subacute stroke who were bilaterally instrumented with a wireless accelerometer above the ankle for approximately 8 continuous hours.
RESULTS: On average, patients demonstrated 47.5 minutes (standard deviation [SD] = 26.6 minutes) of total walking activity and walking bout durations of 54.4 s (SD = 21.5 s). A statistically significant association was found between the number of walking bouts to total walking time (r = .76; P = .006) and laboratory gait speed (r = .51; P = .045) and between laboratory gait speed and balance impairment (r = .60; P = .013). Also, a significant increase in gait asymmetry was observed during day-long measurement compared with the standard laboratory-based assessment (P = .006).
CONCLUSIONS: Rather modest amounts of daily walking were found for these ambulatory inpatients, consistent with previous reports about patients after stroke. Bouts of walking were short in duration, and the gait was more asymmetrical, compared with a standard gait assessment. Unobtrusive monitoring of daily walking exposes the characteristics and temporal qualities of poststroke ambulation.

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Year:  2010        PMID: 20829413     DOI: 10.1177/1545968310374189

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  32 in total

1.  Reliability and validity of bilateral ankle accelerometer algorithms for activity recognition and walking speed after stroke.

Authors:  Bruce H Dobkin; Xiaoyu Xu; Maxim Batalin; Seth Thomas; William Kaiser
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

2.  SIRRACT: An International Randomized Clinical Trial of Activity Feedback During Inpatient Stroke Rehabilitation Enabled by Wireless Sensing.

Authors:  Andrew K Dorsch; Seth Thomas; Xiaoyu Xu; William Kaiser; Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2014-09-26       Impact factor: 3.919

Review 3.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

Review 4.  Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Authors:  Mikaela L Frechette; Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Ryan S McGinnis; Jacob J Sosnoff
Journal:  Curr Neurol Neurosci Rep       Date:  2019-09-04       Impact factor: 5.081

5.  Validity of the Fitbit One for Measuring Activity in Community-Dwelling Stroke Survivors.

Authors:  Jonathan Hui; Richard Heyden; Tim Bao; Nicholas Accettone; Catherine McBay; Julie Richardson; Ada Tang
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

6.  Should body weight-supported treadmill training and robotic-assistive steppers for locomotor training trot back to the starting gate?

Authors:  Bruce H Dobkin; Pamela W Duncan
Journal:  Neurorehabil Neural Repair       Date:  2012-03-12       Impact factor: 3.919

7.  Relationships between gait variability and ambulatory activity post stroke.

Authors:  Lisa A Zukowski; Jody A Feld; Carol A Giuliani; Prudence Plummer
Journal:  Top Stroke Rehabil       Date:  2019-03-26       Impact factor: 2.119

8.  Objective Measurement of Walking Activity Using Wearable Technologies in People with Parkinson Disease: A Systematic Review Protocol.

Authors:  Thomas Carlin; Clint Hansen; Nicolas Vuillerme
Journal:  Biomed Hub       Date:  2021-07-13

Review 9.  Wearable motion sensors to continuously measure real-world physical activities.

Authors:  Bruce H Dobkin
Journal:  Curr Opin Neurol       Date:  2013-12       Impact factor: 5.710

10.  Manual wheelchair use: bouts of mobility in everyday life.

Authors:  Sharon Eve Sonenblum; Stephen Sprigle; Ricardo A Lopez
Journal:  Rehabil Res Pract       Date:  2012-07-15
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