Limits...
Evaluation of pediatric manual wheelchair mobility using advanced biomechanical methods.

Slavens BA, Schnorenberg AJ, Aurit CM, Graf A, Krzak JJ, Reiners K, Vogel LC, Harris GF - Biomed Res Int (2015)

Bottom Line: Upper extremity joint kinematics, forces, and moments were computed using inverse dynamics methods with our custom model.The largest joint moments were 1.4% body weight times height (BW × H) of elbow flexion and 1.2% BW × H of glenohumeral joint extension.These evaluation methods may be a useful tool for clinicians and therapists for pediatric wheelchair prescription and training.

View Article: PubMed Central - PubMed

Affiliation: Department of Occupational Science & Technology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA ; Rehabilitation Research Design and Disability (R 2 D 2 ) Center, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA ; Orthopaedic and Rehabilitation Engineering Center (OREC), Marquette University and Medical College of Wisconsin, Milwaukee, WI 53233, USA.

ABSTRACT
There is minimal research of upper extremity joint dynamics during pediatric wheelchair mobility despite the large number of children using manual wheelchairs. Special concern arises with the pediatric population, particularly in regard to the longer duration of wheelchair use, joint integrity, participation and community integration, and transitional care into adulthood. This study seeks to provide evaluation methods for characterizing the biomechanics of wheelchair use by children with spinal cord injury (SCI). Twelve subjects with SCI underwent motion analysis while they propelled their wheelchair at a self-selected speed and propulsion pattern. Upper extremity joint kinematics, forces, and moments were computed using inverse dynamics methods with our custom model. The glenohumeral joint displayed the largest average range of motion (ROM) at 47.1° in the sagittal plane and the largest average superiorly and anteriorly directed joint forces of 6.1% BW and 6.5% BW, respectively. The largest joint moments were 1.4% body weight times height (BW × H) of elbow flexion and 1.2% BW × H of glenohumeral joint extension. Pediatric manual wheelchair users demonstrating these high joint demands may be at risk for pain and upper limb injuries. These evaluation methods may be a useful tool for clinicians and therapists for pediatric wheelchair prescription and training.

No MeSH data available.


Related in: MedlinePlus

Group average joint kinematic data of the thorax, sternoclavicular, and acromioclavicular joints. Mean (bold) and +/− one standard deviation joint kinematics of the thorax: top row, the sternoclavicular (SC) joint: middle row, and the acromioclavicular (AC) joint: bottom row (dominant side: blue, nondominant side: red).
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4352734&req=5

fig3: Group average joint kinematic data of the thorax, sternoclavicular, and acromioclavicular joints. Mean (bold) and +/− one standard deviation joint kinematics of the thorax: top row, the sternoclavicular (SC) joint: middle row, and the acromioclavicular (AC) joint: bottom row (dominant side: blue, nondominant side: red).

Mentions: Group mean joint angles of the thorax, sternoclavicular, acromioclavicular, glenohumeral, elbow, and wrist joints were characterized over the wheelchair stroke cycle. These mean joint angles in each plane of motion, along with +/− one standard deviation, are depicted in Figures 3 and 4. The mean peak angles and ranges of motion (ROMs) of each joint were also identified and computed over the stroke cycle. The joint ROMs are depicted in Figure 5. Additionally, multiple parameters were statistically significantly different (P < 0.05) from one another, as seen in Table 2.


Evaluation of pediatric manual wheelchair mobility using advanced biomechanical methods.

Slavens BA, Schnorenberg AJ, Aurit CM, Graf A, Krzak JJ, Reiners K, Vogel LC, Harris GF - Biomed Res Int (2015)

Group average joint kinematic data of the thorax, sternoclavicular, and acromioclavicular joints. Mean (bold) and +/− one standard deviation joint kinematics of the thorax: top row, the sternoclavicular (SC) joint: middle row, and the acromioclavicular (AC) joint: bottom row (dominant side: blue, nondominant side: red).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4352734&req=5

fig3: Group average joint kinematic data of the thorax, sternoclavicular, and acromioclavicular joints. Mean (bold) and +/− one standard deviation joint kinematics of the thorax: top row, the sternoclavicular (SC) joint: middle row, and the acromioclavicular (AC) joint: bottom row (dominant side: blue, nondominant side: red).
Mentions: Group mean joint angles of the thorax, sternoclavicular, acromioclavicular, glenohumeral, elbow, and wrist joints were characterized over the wheelchair stroke cycle. These mean joint angles in each plane of motion, along with +/− one standard deviation, are depicted in Figures 3 and 4. The mean peak angles and ranges of motion (ROMs) of each joint were also identified and computed over the stroke cycle. The joint ROMs are depicted in Figure 5. Additionally, multiple parameters were statistically significantly different (P < 0.05) from one another, as seen in Table 2.

Bottom Line: Upper extremity joint kinematics, forces, and moments were computed using inverse dynamics methods with our custom model.The largest joint moments were 1.4% body weight times height (BW × H) of elbow flexion and 1.2% BW × H of glenohumeral joint extension.These evaluation methods may be a useful tool for clinicians and therapists for pediatric wheelchair prescription and training.

View Article: PubMed Central - PubMed

Affiliation: Department of Occupational Science & Technology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA ; Rehabilitation Research Design and Disability (R 2 D 2 ) Center, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA ; Orthopaedic and Rehabilitation Engineering Center (OREC), Marquette University and Medical College of Wisconsin, Milwaukee, WI 53233, USA.

ABSTRACT
There is minimal research of upper extremity joint dynamics during pediatric wheelchair mobility despite the large number of children using manual wheelchairs. Special concern arises with the pediatric population, particularly in regard to the longer duration of wheelchair use, joint integrity, participation and community integration, and transitional care into adulthood. This study seeks to provide evaluation methods for characterizing the biomechanics of wheelchair use by children with spinal cord injury (SCI). Twelve subjects with SCI underwent motion analysis while they propelled their wheelchair at a self-selected speed and propulsion pattern. Upper extremity joint kinematics, forces, and moments were computed using inverse dynamics methods with our custom model. The glenohumeral joint displayed the largest average range of motion (ROM) at 47.1° in the sagittal plane and the largest average superiorly and anteriorly directed joint forces of 6.1% BW and 6.5% BW, respectively. The largest joint moments were 1.4% body weight times height (BW × H) of elbow flexion and 1.2% BW × H of glenohumeral joint extension. Pediatric manual wheelchair users demonstrating these high joint demands may be at risk for pain and upper limb injuries. These evaluation methods may be a useful tool for clinicians and therapists for pediatric wheelchair prescription and training.

No MeSH data available.


Related in: MedlinePlus