Effect of Backrest Height on Wheelchair Propulsion Biomechanics for Level and Uphill Conditions

Yang, Ya-Sung; Koontz, Alicia M; Yeh, Shan-Ju; Chang, Jyh-Jong

doi:10.1016/j.apmr.2011.10.023

Cited by 25 publications

(29 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This represents a significant MEF increase of approximately 18 percent with the increase in the slope. The decreasing tendency reported in the present study may be attributable to the higher propulsion speed than in Yang et al (i.e., 1.17 vs 0.9 m/s) [13]. In fact, Boninger et al maintained that the MEF decreases with increasing speed [34].…”

Section: Preservation Of Mechanical Effective Forcecontrasting

confidence: 52%

“…In fact, when the slope progressively increased from 0° to 7.1° and the treadmill speed stayed the same, the MEF remained statistically constant between 0.45 and 0.38, with an observed tendency to decrease at the steepest slope. On the contrary, a study examining MEF in relation to MWC on a treadmill set at a constant speed of 0.9 m/s reported MEFs of about 0.50 during propulsion with 0° slope and an MEF of 0.55 when the slope rose to 3° [13]. This represents a significant MEF increase of approximately 18 percent with the increase in the slope.…”

Section: Preservation Of Mechanical Effective Forcementioning

confidence: 94%

“…Additionally, Richter et al also documented that the peak total force (F TOT ) was about 1.7 and 2.2 times slower when pushing up 3° and 6° slopes, respectively, in comparison with the level surface (0° slope) despite the reduced treadmill speed [12]. More recently, Yang et al found that among a group of MWUs with SCI, propelling at a steady speed of 0.9 m/s on a motorized treadmill, the F TOT and tangential components of the force (F TANG ) applied at the handrim were about 2.1 and 2.4 times higher when pushing up a 3° slope (approximately 1:20 ratio) in comparison with the level surface, whereas the mechanical efficiency was only found to be 1.1 times higher [13]. Such differences confirm the need to gain a better understanding of the effects of steeper slopes on spatiotemporal and pushrim kinetic parameters during uphill propulsion on a treadmill set at a steady speed.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, unlike propulsion on a roller ergometer or a dynamometer, MWC propulsion on a motorized treadmill allows for greater freedom of MWC movement and some exposure to the effects of inertia linked to the acceleration and deceleration of the MWC, head-trunk-UL segments, and air resistance [14]. Surprisingly, unlike walking, only a few studies on MWC propulsion have been done on an incline [1,[15][16][17], fewer have been done on a motorized treadmill [12][13][18][19][20][21], and none have assessed the effects of more than one slope (i.e., incline) while propelling at a steady speed on a motorized treadmill.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Pushrim biomechanical changes with progressive increases in slope during motorized treadmill manual wheelchair propulsion in individuals with spinal cord injury

et al. 2014

View full text Add to dashboard Cite

Abstract-The purpose of this study was to quantify the effects of five distinct slopes on spatiotemporal and pushrim kinetic measures at the nondominant upper limb during manual wheelchair (MWC) propulsion on a motorized treadmill in individuals with spinal cord injury (SCI). Eighteen participants with SCI propelled their MWC at a self-selected natural speed on a treadmill at different slopes (0, 2.7, 3.6, 4.8, and 7.1 degrees). Spatiotemporal parameters along with total force and tangential components of the force applied to the pushrim, including mechanical effective force, were calculated using an instrumented wheel. The duration of the recovery phase was 54% to 70% faster as the slope increased, whereas the duration of the push phase remained similar. The initial contact angles migrated forward on the pushrim, while the final and total contact angles remained similar as the slope increased. As the slope increased, the mean total force was 93% to 201% higher and the mean tangential component of the force was 96% to 176% higher than propulsion with no slope. Measures were similar for the 2.7 and 3.6 degrees slopes. Overall, the recovery phase became shorter and the forces applied at the pushrim became greater as the slope of the treadmill increased during motorized treadmill MWC propulsion.

show abstract

Section: Preservation Of Mechanical Effective Forcecontrasting

confidence: 52%

Section: Preservation Of Mechanical Effective Forcementioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pushrim biomechanical changes with progressive increases in slope during motorized treadmill manual wheelchair propulsion in individuals with spinal cord injury

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Hence, the participants may have been less comfortable with propelling and training in a wheelchair that was not theirs. The different geometry of the simulator wheelchair might also have affected the participants' MEF production and improvement abilities [33]. Lastly, in (2), we used an approximation based on the moment about the wheel hub (M z ) to calculate the MEF both during the training session on the simulator and during analysis.…”

Section: A Recommendations and Limitationsmentioning

confidence: 99%

Characterization of the Immediate Effect of a Training Session on a Manual Wheelchair Simulator With Haptic Biofeedback: Towards More Effective Propulsion

Blouin

Lalumiere

Gagnon

et al. 2015

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

Eighteen manual wheelchair users (MWUs) with spinal cord injury participated in a training session on a new manual wheelchair simulator with haptic biofeedback (HB). The training aimed to modify participants' mechanical effective force (MEF) along the push phase to achieve a target MEF pattern slightly more effective than their pre-training pattern. More HB was provided if the participants' achieved MEF pattern deviated from the target. Otherwise, less HB was provided. The deviation between the participants' achieved MEF and the target, as well as the mean achieved MEF, were computed before, during and after the training session. During the training, participants generally exceeded the target pattern at the beginning of the push cycle and achieved it towards the end. On average, participants also increased their mean MEF by up to 15.7% on the right side and 12.4% on the left side between the pre-training and training periods. Finally, eight participants could modify their MEF pattern towards the target in post-training. The simulator tested in this study represents a valuable tool for developing new wheelchair propulsion training programs. Haptic biofeedback also provides interesting potential for training MWUs to improve propulsion effectiveness.

show abstract

Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation

Gao

Gong

Chen

et al. 2022

Advanced Intelligent Systems

View full text Add to dashboard Cite

Electromyography (EMG) is an integral part of many biomedical and healthcare applications. It has been used as a metric for tracking rehabilitation progress and identifying diseases that affect muscle activation patterns. Although it is widely used in many disciplines, conventional EMG recording and interpretation techniques lack in providing precise signal detection and robust classification accuracy. In recent years, thanks to advances in both material science and artificial intelligence, EMG detection techniques are improving at a rapid pace. Materials that allow for enhanced biocompatibility have improved the quality of data recorded by electrodes. The use of machine learning algorithms has paved new ways to understand complex EMG signals, triggering diverse, novel, and improved application scenarios within the healthcare framework. To help readers establish a clear picture of the two most important components in EMG technology, i.e., electrodes and algorithms, while catching up with the latest research outcomes, this review article is composed. The article starts by introducing conventional EMG electrode materials and architectures, then explains how state‐of‐the‐art works have improved electrode utilization. Subsequently, EMG signal conditioning and interpretation algorithms are investigated. Finally, current challenges in the research domain and authors’ perspectives are discussed.

show abstract

Effect of Backrest Height on Wheelchair Propulsion Biomechanics for Level and Uphill Conditions

Cited by 25 publications

References 22 publications

Pushrim biomechanical changes with progressive increases in slope during motorized treadmill manual wheelchair propulsion in individuals with spinal cord injury

Pushrim biomechanical changes with progressive increases in slope during motorized treadmill manual wheelchair propulsion in individuals with spinal cord injury

Characterization of the Immediate Effect of a Training Session on a Manual Wheelchair Simulator With Haptic Biofeedback: Towards More Effective Propulsion

Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation

Contact Info

Product

Resources

About