Gait and Foot Clearance Parameters Obtained Using Shoe-Worn Inertial Sensors in a Large-Population Sample of Older Adults

In order to distinguish dysfunctional gait, clinicians require a measure of reference gait parameters for each population. This study provided normative values for widely used parameters in more than 1,400 able-bodied adults over the age of 65. We also measured the foot clearance parameters (i.e., height of the foot above ground during swing phase) that are crucial to understand the complex relationship between gait and falls as well as obstacle negotiation strategies. We used a shoe-worn inertial sensor on each foot and previously validated algorithms to extract the gait parameters during 20 m walking trials in a corridor at a self-selected pace. We investigated the difference of the gait parameters between male and female participants by considering the effect of age and height factors. Besides; we examined the inter-relation of the clearance parameters with the gait speed. The sample size and breadth of gait parameters provided in this study offer a unique reference resource for the researchers.

[1]  Alberto Olivares,et al.  Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study , 2012, Sensors.

[2]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[3]  Kamiar Aminian,et al.  Heel and Toe Clearance Estimation for Gait Analysis Using Wireless Inertial Sensors , 2012, IEEE Transactions on Biomedical Engineering.

[4]  Kamiar Aminian,et al.  On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease , 2013, IEEE Transactions on Biomedical Engineering.

[5]  R. Lipton,et al.  Quantitative gait markers and incident fall risk in older adults. , 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

[6]  Peter H. Veltink,et al.  Ambulatory human motion tracking by fusion of inertial and magnetic sensing with adaptive actuation , 2009, Medical & Biological Engineering & Computing.

[7]  Peter H. Veltink,et al.  Ambulatory Assessment of Ankle and Foot Dynamics , 2007, IEEE Transactions on Biomedical Engineering.

[8]  Ronald C Petersen,et al.  Normative spatiotemporal gait parameters in older adults. , 2011, Gait & posture.

[9]  Bradford J McFadyen,et al.  Use of Segmental Coordination Analysis of Nonparetic and Paretic Limbs During Obstacle Clearance in Community‐Dwelling Persons After Stroke , 2013, PM & R : the journal of injury, function, and rehabilitation.

[10]  W. Sparrow,et al.  Ageing and limb dominance effects on foot-ground clearance during treadmill and overground walking. , 2011, Clinical biomechanics.

[11]  Xavier Crevoisier,et al.  Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors. , 2013, Gait & posture.

[12]  Y. Fujiwara,et al.  Walking speed as a good predictor for the onset of functional dependence in a Japanese rural community population. , 2000, Age and ageing.

[13]  S. Ebrahim,et al.  Falls by elderly people at home: prevalence and associated factors. , 1988, Age and ageing.

[14]  S. Õunpuu,et al.  Effects of age on the biomechanics and physiology of gait. , 1996, Clinics in geriatric medicine.

[15]  R. Begg,et al.  Minimum foot clearance during walking: strategies for the minimisation of trip-related falls. , 2007, Gait & posture.

[16]  Kamiar Aminian,et al.  3D gait assessment in young and elderly subjects using foot-worn inertial sensors. , 2010, Journal of biomechanics.

[17]  Jeffrey M. Hausdorff,et al.  Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls , 2012, PloS one.

[18]  G. Karst,et al.  Reliability of foot trajectory measures within and between testing sessions. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[19]  Yi Zhao,et al.  Sensing Movement: Microsensors for Body Motion Measurement , 2011, Sensors.

[20]  Masahiro Shinya,et al.  Enhancing memory of stair height by the motor experience of stepping , 2012, Experimental Brain Research.

[21]  K. Aminian,et al.  Quaternion-based fusion of gyroscopes and accelerometers to improve 3D angle measurement , 2006 .

[22]  Xiaonan Xue,et al.  Quantitative gait dysfunction and risk of cognitive decline and dementia , 2007, Journal of Neurology, Neurosurgery & Psychiatry.

[23]  R. Burdett,et al.  A comparison of gait characteristics in young and old subjects. , 1994, Physical therapy.

[24]  M. Samson,et al.  Differences in gait parameters at a preferred walking speed in healthy subjects due to age, height and body weight , 2001, Aging.

[25]  Steven A Gard,et al.  Methodology for determining the sensitivity of swing leg toe clearance and leg length to swing leg joint angles during gait. , 2006, Gait & posture.

[26]  Evon M. O. Abu-Taieh,et al.  Comparative study , 2003, BMJ : British Medical Journal.

[27]  R. Barrett,et al.  A systematic review of the effect of ageing and falls history on minimum foot clearance characteristics during level walking. , 2010, Gait & posture.

[28]  Suzanne G. Leveille,et al.  Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  V. Feipel,et al.  Objective evaluation of cervical spine mobility after surgery during free-living activity. , 2013, Clinical biomechanics.

[30]  D. Winter.  Foot trajectory in human gait: a precise and multifactorial motor control task. , 1992, Physical therapy.

[31]  Brian Caulfield,et al.  Estimation of minimum ground clearance (MGC) using body-worn inertial sensors. , 2011, Journal of biomechanics.