Holistic Sensor-Based Approach for Assessing Community Mobility and Participation of Manual Wheelchair Users in the Real World

Given the unique challenges faced by manual wheelchair users, improving methods to accurately measure and enhance their participation in community life is critical. This study explores a comprehensive method to evaluate the real-world community mobility and participation of manual wheelchair users by combining GPS mobility tracking, heart rate, and activity journals. Collecting qualitative and quantitative measures such as the life space assessment, wheelchair user confidence scale, and physical performance tests alongside GPS mobility tracking from ten manual wheelchair users provided insight into the complex relationship between physical, psychological, and social factors that can impact their daily community mobility and participation. This study found significant, strong correlations between the recorded journal time outside of the home and the GPS mean daily heart rate (r = −0.750, p = 0.032) as well as between the upper limb strength assessments with cardiovascular assessments, physiological confidence, and GPS participation indicators (0.732 < r < 0.884, 0.002 < p < 0.039). This method of manual wheelchair user assessment reveals the complex relationships between different aspects of mobility and participation. It provides a means of enhancing the ability of rehabilitation specialists to focus rehabilitation programs toward the areas that will help manual wheelchair users improve their quality of life.

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Publication Details

Journal
Journal of Sensor and Actuator Networks
Published
2024-10-24
DOI
https://doi.org/10.3390/jsan13060070
Citations
1
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
0.42

Funders

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article

Holistic Sensor-Based Approach for Assessing Community Mobility and Participation of Manual Wheelchair Users in the Real World

Jacob R. Rammer, Maja Goršič, Grace McClatchey, Madisyn R. Adelman et al.
1 citations
Journal of Sensor and Actuator Networks
Spinal Cord Injury Research
0.42
article

Holistic Sensor-Based Approach for Assessing Community Mobility and Participation of Manual Wheelchair Users in the Real World

Jacob R. Rammer, Maja Goršič, Grace McClatchey, Madisyn R. Adelman, Wesley C. Kephart
article en
1 citations

Abstract

Given the unique challenges faced by manual wheelchair users, improving methods to accurately measure and enhance their participation in community life is critical. This study explores a comprehensive method to evaluate the real-world community mobility and participation of manual wheelchair users by combining GPS mobility tracking, heart rate, and activity journals. Collecting qualitative and quantitative measures such as the life space assessment, wheelchair user confidence scale, and physical performance tests alongside GPS mobility tracking from ten manual wheelchair users provided insight into the complex relationship between physical, psychological, and social factors that can impact their daily community mobility and participation. This study found significant, strong correlations between the recorded journal time outside of the home and the GPS mean daily heart rate (r = −0.750, p = 0.032) as well as between the upper limb strength assessments with cardiovascular assessments, physiological confidence, and GPS participation indicators (0.732 < r < 0.884, 0.002 < p < 0.039). This method of manual wheelchair user assessment reveals the complex relationships between different aspects of mobility and participation. It provides a means of enhancing the ability of rehabilitation specialists to focus rehabilitation programs toward the areas that will help manual wheelchair users improve their quality of life.

Journal of Sensor and Actuator NetworksVol. 13(6)
Marquette University (US), University of Wisconsin–Milwaukee (US), Glenville State College (US)
U.S. Department of Health and Human Services
Openalex Percentile: Top 34%
Spinal Cord Injury Research
0.42
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Holistic Sensor-Based Approach for Assessing Community Mobility and Participation of Manual Wheelchair Users in the Real World — Jacob R. Rammer, Maja Goršič, et al. · Journal of Sensor and Actuator Networks (2024) | TGRS Research Map | TGRS