scholarly journals Complex movements induced by multiple vibrations after stroke: The stepping-in-place example

2012 ◽  
Vol 55 ◽  
pp. e12-e13
Author(s):  
C. Kemlin ◽  
C. Duclos
Keyword(s):  
Stepping In Place

Temporal and Spatial Parameters of Stepping in Place in Children and Adults

2011 ◽  
Vol 113 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Yoshifumi Ikeda ◽  
Yu Kamiyama ◽  
Hideyuki Okuzumi ◽  
Shogo Hirata ◽  
Mitsuru Kokubun
Keyword(s):  
Spatial Parameters ◽  
Temporal And Spatial ◽  
Stepping In Place

Neck muscle fatigue and spatial orientation during stepping in place in humans

2005 ◽  
Vol 99 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Micaela Schmid ◽  
Marco Schieppati
Keyword(s):  
Muscle Fatigue ◽  
Afferent Input ◽  
Neck Muscle ◽  
Median Frequency ◽  
Optoelectronic System ◽  
Neck Proprioception ◽  
Before And After ◽  
Spatial Reference Frame ◽  
Stepping In Place ◽  
Neck Muscle Fatigue

Neck proprioceptive input, as elicited by muscle vibration, can produce destabilizing effects on stance and locomotion. Neck muscle fatigue produces destabilizing effects on stance, too. Our aim was to assess whether neck muscle fatigue can also perturb the orientation in space during a walking task. Direction and amplitude of the path covered during stepping in place were measured in 10 blindfolded subjects, who performed five 30-s stepping trials before and after a 5-min period of isometric dorsal neck muscle contraction against a load. Neck muscle electromyogram amplitude and median frequency during the head extensor effort were used to compute a fatigue index. Head and body kinematics were recorded by an optoelectronic system, and stepping cadence was measured by sensorized insoles. Before the contraction period, subjects normally stepped on the spot or drifted forward. After contraction, some subjects reproduced the same behavior, whereas others reduced their forward progression or even stepped backward. The former subjects showed minimal signs of fatigue and the latter ones marked signs of fatigue, as quantified by the dorsal neck electromyogram index. Head position and cadence were unaffected in either group of subjects. We argue that the abnormal fatigue-induced afferent input originating in the receptors transducing the neck muscle metabolic state can modulate the egocentric spatial reference frame. Notably, the effects of neck muscle fatigue on orientation are opposite to those produced by neck proprioception. The neck represents a complex source of inputs capable of modifying our orientation in space during a locomotor task.

Kinematics in Newly Walking Toddlers Does Not Depend Upon Postural Stability

2005 ◽  
Vol 94 (1) ◽  
pp. 754-763 ◽  
Author(s):  
Yuri P. Ivanenko ◽  
Nadia Dominici ◽  
Germana Cappellini ◽  
Francesco Lacquaniti
Keyword(s):  
Postural Stability ◽  
Balance Control ◽  
Vertical Movement ◽  
The Body ◽  
Emg Activity ◽  
Older Children ◽  
Motor Patterns ◽  
Gait Kinematics ◽  
Locomotor Strategy ◽  
Stepping In Place

When a toddler starts to walk without support, gait kinematics and electromyographic (EMG) activity differ from those of older children and the body displays considerable oscillations due to poor equilibrium. Postural instability clearly affects motor patterns in adults, but does instability explain why toddlers walk with a different gait? Here we addressed this question by comparing kinematics and EMGs in toddlers performing their first independent steps with or without hand or trunk support. Hand support significantly improved postural stability and some general gait parameters, reducing percent of falls, step width, lateral hip deviations and trunk oscillations. However, the kinematic and EMG patterns were unaffected by increased postural stability. In particular, the co-variance of the angular motion of the lower limb segments, the pattern of bilateral coordination of the vertical movement of the two hip joints, high variability of the foot path, the elliptic or single peak trajectory of the foot in the swing phase, and characteristic EMG bursts at foot contact remained idiosyncratic of toddler locomotion. Instead the toddler pattern shared fundamental features with adult stepping in place, suggesting that toddlers implement a mixed locomotor strategy, combining forward progression with elements of stepping in place. Furthermore, gait kinematics remained basically unchanged until the occurrence of the first unsupported steps and rapidly matured thereafter. We conclude that idiosyncratic features in newly walking toddlers do not simply result from undeveloped balance control but may represent an innate kinematic template of stepping.

Visually evoked whole-body turning responses during stepping in place in a virtual environment

2009 ◽  
Vol 30 (3) ◽  
pp. 317-321 ◽  
Author(s):  
Rebecca J. Reed-Jones ◽  
Mark A. Hollands ◽  
James G. Reed-Jones ◽  
Lori Ann Vallis
Keyword(s):  
Virtual Environment ◽  
Whole Body ◽  
Stepping In Place

scholarly journals Gait Parameters Measured from Wearable Sensors Reliably Detect Freezing of Gait in a Stepping in Place Task

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2661
Author(s):  
Cameron Diep ◽  
Johanna O’Day ◽  
Yasmine Kehnemouyi ◽  
Gary Burnett ◽  
Helen Bronte-Stewart
Keyword(s):  
Center Of Pressure ◽  
Wearable Sensors ◽  
Freezing Of Gait ◽  
Area Under The Curve ◽  
Measurement Unit ◽  
Visual Identification ◽  
Gait Parameters ◽  
Time Coefficient ◽  
Place Task ◽  
Stepping In Place

Freezing of gait (FOG), a debilitating symptom of Parkinson’s disease (PD), can be safely studied using the stepping in place (SIP) task. However, clinical, visual identification of FOG during SIP is subjective and time consuming, and automatic FOG detection during SIP currently requires measuring the center of pressure on dual force plates. This study examines whether FOG elicited during SIP in 10 individuals with PD could be reliably detected using kinematic data measured from wearable inertial measurement unit sensors (IMUs). A general, logistic regression model (area under the curve = 0.81) determined that three gait parameters together were overall the most robust predictors of FOG during SIP: arrhythmicity, swing time coefficient of variation, and swing angular range. Participant-specific models revealed varying sets of gait parameters that best predicted FOG for each participant, highlighting variable FOG behaviors, and demonstrated equal or better performance for 6 out of the 10 participants, suggesting the opportunity for model personalization. The results of this study demonstrated that gait parameters measured from wearable IMUs reliably detected FOG during SIP, and the general and participant-specific gait parameters allude to variable FOG behaviors that could inform more personalized approaches for treatment of FOG and gait impairment in PD.

scholarly journals Interest of the task of “Stepping in place” in the assessment of freezing in Parkinson's disease patients

2015 ◽  
Vol 58 ◽  
pp. e71-e72
Author(s):  
B. Sijobert ◽  
C. Lebrun ◽  
V. Begel ◽  
C. Verna ◽  
G. Castelnovo ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Stepping In Place

Transfer of Podokinetic Adaptation From Stepping to Hopping

2002 ◽  
Vol 87 (2) ◽  
pp. 1142-1144 ◽  
Author(s):  
Gammon M. Earhart ◽  
G. Melvill Jones ◽  
F. B. Horak ◽  
E. W. Block ◽  
K. D. Weber ◽  
...  
Keyword(s):  
Angular Velocity ◽  
Rotating Disk ◽  
Backward Walking ◽  
Velocity Amplitude ◽  
Straight Line ◽  
Time Courses ◽  
Stepping In Place

Following stepping in-place on the surface of a rotating circular treadmill, a subject attempting to step in-place or walk in a straight line across the floor without vision will rotate relative to space. This adaptation, termed podokinetic after-rotation (PKAR), transfers to backward walking following forward walking on the rotating disk. We asked whether adaptation obtained during stepping in-place on the rotating disk would transfer to hopping on both feet. We hypothesized that subjects would demonstrate PKAR during both hopping and stepping, adding support to the hypothesis that PKAR is a centrally mediated adaptation of general locomotor trajectory that is not specific to the form of locomotion used while on the rotating disk. Subjects demonstrated PKAR during both hopping and stepping after stepping in-place on the rotating disk. The time courses of PKAR during hopping and stepping were similar, although the angular velocity amplitude of PKAR was lower in hopping than in stepping. This difference in amplitude suggests an incomplete transfer of PKAR.

scholarly journals Using a consumer-based wearable activity tracker for physical activity goal setting and measuring steps in pregnant women with gestational diabetes mellitus: exploring acceptance and validity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Samantha F. Ehrlich ◽  
Jill M. Maples ◽  
Cristina S. Barroso ◽  
Kathleen C. Brown ◽  
David R. Bassett ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gestational Diabetes ◽  
Goal Setting ◽  
Equivalence Testing ◽  
Structured Interviews ◽  
Self Monitoring ◽  
Activity Tracker ◽  
Wearable Activity Tracker ◽  
Stepping In Place ◽  
Monitoring Devices

Abstract Background Activity monitoring devices may be used to facilitate goal-setting, self-monitoring, and feedback towards a step-based physical activity (PA) goal. This study examined the performance of the wrist-worn Fitbit Charge 3™ (FC3) and sought opinions on walking and stepping-in-place from women with gestational diabetes (GDM). Methods Participants completed six 2-min metronome-assisted over ground bouts that varied by cadence (67, 84, or 100 steps per minute) and mode (walking or stepping-in-place; N = 15), with the sequence randomized. Steps were estimated by FC3 and measured, in duplicate, by direct observation (hand-tally device, criterion). Equivalence testing by the two one-sided tests (TOST) method assessed agreement within ± 15%. Mean absolute percent error (MAPE) of steps were compared to 10%, the accuracy standard of the Consumer Technology Association (CTA)™. A subset (n = 10) completed a timed, 200-m self-paced walk to assess natural walking pace and cadence. All participants completed semi-structured interviews, which were transcribed and analyzed using descriptive and interpretive coding. Results Mean age was 27.0 years (SD 4.2), prepregnancy BMI 29.4 kg/m2 (8.3), and gestational age 32.8 weeks (SD 2.6). The FC3 was equivalent to hand-tally for bouts of metronome-assisted walking and stepping-in-place at 84 and 100 steps per minute (i.e., P < .05), although walking at 100 steps per minute (P = .01) was no longer equivalent upon adjustment for multiple comparisons (i.e., at P < .007). The FC3 was equivalent to hand-tally during the 200-m walk (i.e., P < .001), in which mean pace was 68.2 m per minute (SD 10.7), or 2.5 miles per hour, and mean cadence 108.5 steps per minute (SD 6.5). For walking at 84 and 100 steps per minute, stepping-in-place at 100 steps per minute, and the 200-m walk, MAPE was within 10%, the accuracy standard of the CTA™. Interviews revealed motivation for PA, that stepping-in-place was an acceptable alternative to walking, and competing responsibilities made it difficult to find time for PA. Conclusions The FC3 appears to be a valid step counter during the third trimester, particularly when walking or stepping-in-place at or close to women’s preferred cadence.

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