Dynamic stability and spatiotemporal parameters during turning in healthy young adults

He, Chuan; Xu, Rui; Zhao, Meidan; Guo, Yongming; Jiang, Shenlong; He, Feng; Dong, Ming

doi:10.1186/s12938-018-0558-5

Cited by 32 publications

(25 citation statements)

References 48 publications

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“… (A) The effect of the trajectory (curved with respect to linear) on spatiotemporal gait variables in older adults. Data are the sample-size-weighted mean of Cohen's d effect-size (ES) of the illustrated variables [calculated from a (82); b (41); c (83); d (42); e (87); f (86); g (88); h (85); i (84)]. Negative values in the x-axis represent a decrease in the variables in curved compared to linear walking.…”

Section: Aging Affects Steeringmentioning

confidence: 99%

“…While velocity, cadence, and step length changes are common to different types of turning, step width behaves differently between curved walking and sharp turning. Older adults increase their step width during the transition phase from linear to curved path (88). On the contrary, for protracted curved path, step width is narrow (89, 94) and it decreases until 30% (84).…”

Section: Aging Affects Steeringmentioning

confidence: 99%

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Walking Along Curved Trajectories. Changes With Age and Parkinson's Disease. Hints to Rehabilitation

2019

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In this review, we briefly recall the fundamental processes allowing us to change locomotion trajectory and keep walking along a curved path and provide a review of contemporary literature on turning in older adults and people with Parkinson's Disease (PD). The first part briefly summarizes the way the body exploits the physical laws to produce a curved walking trajectory. Then, the changes in muscle and brain activation underpinning this task, and the promoting role of proprioception, are briefly considered. Another section is devoted to the gait changes occurring in curved walking and steering with aging. Further, freezing during turning and rehabilitation of curved walking in patients with PD is mentioned in the last part. Obviously, as the research on body steering while walking or turning has boomed in the last 10 years, the relevant critical issues have been tackled and ways to improve this locomotor task proposed. Rationale and evidences for successful training procedures are available, to potentially reduce the risk of falling in both older adults and patients with PD. A better understanding of the pathophysiology of steering, of the subtle but vital interaction between posture, balance, and progression along non-linear trajectories, and of the residual motor learning capacities in these cohorts may provide solid bases for new rehabilitative approaches.

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Section: Aging Affects Steeringmentioning

confidence: 99%

Section: Aging Affects Steeringmentioning

confidence: 99%

Walking Along Curved Trajectories. Changes With Age and Parkinson's Disease. Hints to Rehabilitation

2019

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“…The MOS allows for a quantitative analysis of the dynamic control of the BCOM during each single walking step under the assumption of the pendulum-like oscillations of the musculoskeletal system [8]. Accordingly, this metric has previously been applied to the assessment of balance during walking control over rough surfaces [9], during direction changes [10], and while managing external perturbations [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

“…One of the main limits of this approach is that the XCOM is estimated from data collected in structured experimental setups, usually provided with camera-based systems [8,10,11,12,13,14]. This methodological issue does not allow for investigating human stability outdoors or during ADLs, thereby leading scientists to request tasks that are carried out in unnatural conditions [15].…”

Section: Introductionmentioning

confidence: 99%

Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

Guaitolini

Aprigliano

Mannini

et al. 2019

Sensors

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Loss of stability is a precursor to falling and therefore represents a leading cause of injury, especially in fragile people. Thus, dynamic stability during activities of daily living (ADLs) needs to be considered to assess balance control and fall risk. The dynamic margin of stability (MOS) is often used as an indicator of how the body center of mass is located and moves relative to the base of support. In this work, we propose a magneto-inertial measurement unit (MIMU)-based method to assess the MOS of a gait. Six young healthy subjects were asked to walk on a treadmill at different velocities while wearing MIMUs on their lower limbs and pelvis. We then assessed the MOS by computing the lower body displacement with respect to the leading inverse kinematics approach. The results were compared with those obtained using a camera-based system in terms of root mean square deviation (RMSD) and correlation coefficient (ρ). We obtained a RMSD of ≤1.80 cm and ρ ≥ 0.85 for each walking velocity. The findings revealed that our method is comparable to camera-based systems in terms of accuracy, suggesting that it may represent a strategy to assess stability during ADLs in unstructured environments.

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“…In the future, it is necessary to compare the conditions of the direction change motion to make it more versatile. The conditions of the direction change motion mean "step turn" and "spin turn", change of direction angles [6]- [9] . In addition, there is a task to increase the number of subjects.…”

Section: Conclusion and Future Planmentioning

confidence: 99%

Changes in Center of Mass during Preliminary Motion for Prediction of Direction Change

SUGIMOTO

Ogawa²,

Mita³

2021

Materials Research Proceedings

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Abstract. In recent years, the number of single elderly people has been increasing, and the needs of residents have been diversifying. Towards these backgrounds, we propose the concept of "Biofiled bulding". The aim of Biofied Building is to create living spaces where residents can live safely, securely and comfortably. Small robots are used as an interface between residents and living space in Biofied Building. The aim of using robots is to sense the position and movement of residents in real time and providing feedback to them. However,he present control systems of the robot do not have enough functions to estimate the risk of accidents such as falls and choose the pathways which do not disturb residents. Therefore, the purpose of this research is to recognize and predict human behavior in a living space by using a robot to realize Biofied Building. In particular, we focus on the direction change motion, which is an important behavior in a living space, and extract the prediction parameters. In particular, it is reported that the direction change motion account for about 20% of gait during the daily life. Therefore, our research group decided to focus on direction change motion. In this study, we focused on the center of the head to extract parameters for prediction of the direction change motion. There are features in the velocity change of the center of the head compared with straight-line gait. There was a velocity amplification of the opposite direction of the direction change before the start of the motion. It is assumed that the shift of the center of mass make it to easier to step out to the direction of the turn.

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Dynamic stability and spatiotemporal parameters during turning in healthy young adults

Cited by 32 publications

References 48 publications

Walking Along Curved Trajectories. Changes With Age and Parkinson's Disease. Hints to Rehabilitation

Walking Along Curved Trajectories. Changes With Age and Parkinson's Disease. Hints to Rehabilitation

Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

Changes in Center of Mass during Preliminary Motion for Prediction of Direction Change

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