Introduction: Falling causes long term disability and can even lead to death. Most falls occur during gait. Therefore improving gait stability might be beneficial for people at risk of falling. Recently arm swing has been shown to influence gait stability. However at present it remains unknown which mode of arm swing creates the most stable gait.
Aim: To examine how different modes of arm swing affect gait stability.
Method: Ten healthy young male subjects volunteered for this study. All subjects walked with four different arm swing instructions at seven different gait speeds. The Xsens motion capture suit was used to capture gait kinematics. Basic gait parameters, variability and stability measures were calculated.
Results: We found an increased stability in the medio-lateral direction with excessive arm swing in comparison to normal arm swing at all gait speeds. Moreover, excessive arm swing increased stability in the anterior-posterior and vertical direction at low gait speeds. Ipsilateral and inphase arm swing did not differ compared to a normal arm swing.
Discussion: Excessive arm swing is a promising gait manipulation to improve local dynamic stability. For excessive arm swing in the ML direction there appears to be converging evidence. The effect of excessive arm swing on more clinically relevant groups like the more fall prone elderly or stroke survivors is worth further investigating.
Conclusion: Excessive arm swing significantly increases local dynamic stability of human gait.
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http://dx.doi.org/10.1016/j.gaitpost.2014.12.002 | DOI Listing |
Sensors (Basel)
January 2025
German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy.
View Article and Find Full Text PDFbioRxiv
January 2025
Department of Molecular Biophysics and Biochemistry, Yale University, PO Box 208103, New Haven, CT 06520-8103 USA.
Myosin-IC (myo1c) is a class-I myosin that supports transport and remodeling of the plasma membrane and membrane-bound vesicles. Like other members of the myosin family, its biochemical kinetics are altered in response to changes in mechanical loads that resist the power stroke. However, myo1c is unique in that the primary force-sensitive kinetic transition is the isomerization that follows ATP binding, not ADP release as in other slow myosins.
View Article and Find Full Text PDFeNeurologicalSci
March 2025
Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan.
L-type calcium channel antagonists are uncommon causes of myoclonus, and the underlying mechanism remains unclear. Here, we report a case of parkinsonian syndrome with deterioration of preexisting myoclonus after nifedipine use. A 96-year-old woman was administered a single dose of sustained-release nifedipine for chest pain.
View Article and Find Full Text PDFMicromachines (Basel)
November 2024
Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
In robotic arm controllers, the ability to shift signal levels is crucial for interfacing between different voltage domains in a processor. The level shifter (LS) has been used to convert signals operating near threshold voltage to signals operating well above the threshold voltage. Researchers have developed current mirror-based LSs to employ current mirrors, which duplicate the current from one transistor and accurately replicate it in another, ensuring precise current matching.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Neurology Department, Fundación Valle del Lili, Carrera 98 No. 18-49, Cali 760032, Colombia.
Falls are a public health problem, impacting quality of life, independence, and health costs. Subjective memory complaints (SMCs) and mild cognitive impairment (MCI) increase with age and may coexist. The risk of falls coinciding with SMCs is less understood.
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