An Experimental Technique to Verify an Instrumented Wheelchair

Mallakzadeh, Mohammadreza; Sassani, Farrokh

doi:10.1111/j.1747-1567.2006.00131.x

Cited by 3 publications

(5 citation statements)

References 10 publications

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“…To improve the MWP, we should attempt to decrease the value of the total force as much as possible, closer to the value of the TEF by choosing proper wheelchair size, and seating position for each user. [ 42 ]…”

Section: Resultsmentioning

confidence: 99%

“…The FEF is an important factor, which is used as an alternative to efficiency to verify how effective the MWP is. [ 42 ]…”

Section: Resultsmentioning

confidence: 99%

“…Mallakzadeh et al . [ 41 42 43 ] presented an IWS using a six-component load cell (Model PY6-500, Bertec Inc., Columbus, OH) that was fabricated and validated by using general uncertainty analysis. Furthermore, they determined the specifications of their IWS, the linearity, repeatability and the mean error by using both static and dynamic experiments.…”

Section: Introductionmentioning

confidence: 99%

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Design and Fabrication of an Instrumented Handrim to Measure the Kinetic and Kinematic Information by the Hand of User for 3D Analysis of Manual Wheelchair Propulsion Dynamics

Mallakzadeh

Akbari

2014

J Med Signals Sens

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The repetitious nature of propelling a wheelchair has been associated with the high incidence of injury among manual wheelchair users (MWUs), mainly in the shoulder, elbow and wrist. Recent literature has found a link between handrim biomechanics and risk of injury to the upper extremity. The valid measurement of three-dimensional net joint forces and torques, however, can lead to a better understanding of the mechanisms of injury, the development of prevention techniques, and the reduction of serious injuries to the joints. In this project, an instrumented wheel system was developed to measure the applied loads dynamically by the hand of the user and the angular position of the wheelchair user's hand on the handrim during the propulsion phase. The system is composed of an experimental six-axis load cell, and a wireless eight channel data logger mounted on a wheel hub. The angular position of the wheel is measured by an absolute magnetic encoder. The angular position of the wheelchair user's hand on the handrim during the propulsion phase (ɸ) or point of force application (PFA) is calculated by means of a new-experimental method using 36 pairs of infrared emitter/receiver diodes mounted around the handrim. In this regard, the observed data extracted from an inexperienced able-bodied subject pushed a wheelchair with the instrumented handrim are presented to show the output behavior of the instrumented handrim. The recorded forces and torques were in agreement with previously reported magnitudes. However, this paper can provide readers with some technical insights into possible solutions for measuring the manual wheelchair propulsion biomechanical data.

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Section: Resultsmentioning

confidence: 99%

“…The FEF is an important factor, which is used as an alternative to efficiency to verify how effective the MWP is. [ 42 ]…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and Fabrication of an Instrumented Handrim to Measure the Kinetic and Kinematic Information by the Hand of User for 3D Analysis of Manual Wheelchair Propulsion Dynamics

Mallakzadeh

Akbari

2014

J Med Signals Sens

View full text Add to dashboard Cite

show abstract

“…Significant alteration to the wheelchair is required to measure the force/power profile directly. This is typically performed by instrumenting the hand rim with force sensors [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Propulsion pattern: example of unfiltered ground linear velocity (m s −1) measured on a single individual performing a 'slow' start. It was recorded using an additional accelerometer as detailed in section 3.4, derived from equation(7). Each individual hand push is clearly visible, followed by velocity loss due to friction.…”

mentioning

confidence: 99%

WISDOM: wheelchair inertial sensors for displacement and orientation monitoring

Pansiot

Zhang

et al. 2011

Meas. Sci. Technol.

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Improved wheelchair design in recent years has significantly increased the mobility of people with disabilities, which has also enhanced the competitive advantage of wheelchair sports. For the latter, detailed assessment of biomechanical factors influencing individual performance and team tactics requires real-time wireless sensing and data modelling. In this paper, we propose the use of a miniaturised wireless wheelmounted inertial sensor for wheelchair motion monitoring and tracking in an indoor sport environment. Based on a combined use of 3D Micro-electromechanical System (MEMS) gyroscopes and 2D MEMS accelerometers, the proposed system provides real-time velocity, heading, ground distance covered, and motion trajectory of the wheelchair across the sports court. The proposed system offers a number of advantages compared to existing platforms in terms of size, weight, and ease of installation. Beyond sport applications, it also has important applications for training and rehabilitation for people with disabilities.

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Muscle Activation in Specific Regions of the Trapezius During Modified Kendall Manual Muscle Tests

Henderson

Bohunicky

Rochon

et al. 2021

Journal of Athletic Training

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Context: Manual muscle tests (MMTs) are often used when assessing shoulder pathologies. For the trapezius, individual MMTs are used to selectively test the upper (UTR), middle (MTR), and lower (LTR) trapezius regions. It is assumed that MMTs for each region preferentially recruit the corresponding muscle fibres and produce a “maximal” contraction; however, it is unknown if this is true. Objective: To determine if maximum voluntary isometric contractions (MVICs) for the upper (UT-MVIC), middle (MT-MVIC), and lower (LT-MVIC) trapezius, adapted from the Kendall MMTs, recruit the corresponding trapezius regions. Design: Cross-Over. Setting: Laboratory. Participants: 20 young, healthy individuals. Intervention: Participants performed three repetitions of each MVIC. High density surface electromyography was collected from the UTR, MTR, and LTR. Main Outcome Measures: Root mean square (excitation) of the UTR, MTR, and LTR. Statistical Analysis: Three, one-way repeated measures ANOVAs. Results: UTR excitation: There was a significant increase in UTR excitation during the LT-MVIC compared to the UT-MVIC (p = .016), and MT-MVIC (p < .001). MTR excitation: There was a significant increase in MTR excitation during the MT-MVIC compared to the UT-MVIC (p = .001), and a significant increase in MTR excitation during the LT-MVIC compared to the UT-MVIC (p < .001). There was also a significant increase in MTR excitation during the LT-MVIC compared to the MT-MVIC (p < .001). LTR excitation: There was a significant increase in LTR excitation during the MT-MVIC (p < .001) and LT-MVIC (p < .001) compared to the UT-MVIC. Conclusions: The UT-MVIC and MT-MVIC do not necessarily recruit the corresponding trapezius regions more than the other MVICs. Rather, the LT-MVIC appears to produce the greatest excitation in all trapezius regions. Additional research is needed; however, clinicians should be aware that maximal contractions may not always recruit the desired musculature when forming a clinical interpretation.

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An Experimental Technique to Verify an Instrumented Wheelchair

Cited by 3 publications

References 10 publications

Design and Fabrication of an Instrumented Handrim to Measure the Kinetic and Kinematic Information by the Hand of User for 3D Analysis of Manual Wheelchair Propulsion Dynamics

Design and Fabrication of an Instrumented Handrim to Measure the Kinetic and Kinematic Information by the Hand of User for 3D Analysis of Manual Wheelchair Propulsion Dynamics

WISDOM: wheelchair inertial sensors for displacement and orientation monitoring

Muscle Activation in Specific Regions of the Trapezius During Modified Kendall Manual Muscle Tests

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