Laboratory in a box: Wearable sensors and its advantages for gait analysis

Until recently, many gait studies explored potential gait alteration due to various disorders in the gait lab and using camera based systems and force platforms. However, these strategies may not replicate normal outdoor walking. Using this equipment, it is more difficult to measure the variability of walking which is important for maintaining balance and responding to different walking challenges. Additionally, subjects may mask their problem or exaggerate it when they are walking in a short walking distance offered by laboratory based-technology. This study overviews some of the key advantages of wearable technology compared to laboratory-based instrument. Additionally, it explored gait patterns over ample distance of walking compared to walking distance restricted to a gait laboratory environment. Walking patterns of ten healthy young subjects were examined using a wearable sensor technology in a random order over a distance of 7m, 14m, and 20m. Results suggest that participants walk significantly faster by increasing walking distance on average by 15% and 3% when walking distance was increased respectively from 7m to 14 and from 14m to 20m (p<0.05). Interestingly despite a high test-retest reliability for averaged gait parameters (ICC>0.89), the test-retest reliability for gait variability was only acceptable during 20m walking distance (ICC<0.3 for 7m and 14m v. ICC=0.65 for 20m). Taken together, our findings indicate that for valid and reliable assessment of gait parameters, gait should be performed over ample walking distances. Body worn sensor technology facilitates assessing gait outside of a gait laboratory, over ample walking distance, different footwear condition, different walking surface, and in environment where mimics better true environment where the subject is active in.

[1]  Bijan Najafi Physical activity monotoring and risk of falling evaluation in elderly people , 2003 .

[2]  Pascal Fua,et al.  Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors , 2006, IEEE Transactions on Biomedical Engineering.

[3]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[4]  K. Aminian,et al.  Evaluation of an ambulatory system for gait analysis in hip osteoarthritis and after total hip replacement. , 2004, Gait & posture.

[5]  K. Aminian,et al.  Nonlinear analysis of human physical activity patterns in health and disease. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Kamiar Aminian,et al.  Ambulatory Monitoring of Physical Activities in Patients With Parkinson's Disease , 2007, IEEE Transactions on Biomedical Engineering.

[7]  Kamiar Aminian,et al.  Motion Analysis in Clinical Practice Using Ambulatory Accelerometry , 1998, CAPTECH.

[8]  Kamiar Aminian,et al.  Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. , 2002, Journal of biomechanics.

[9]  Ryan T. Crews,et al.  Importance of Time Spent Standing for Those at Risk of Diabetic Foot Ulceration , 2010, Diabetes Care.

[10]  Kamiar Aminian,et al.  Gait alterations of diabetic patients while walking on different surfaces. , 2009, Gait & posture.

[11]  Bijan Najafi,et al.  Diabetic Foot Biomechanics and Gait Dysfunction , 2010, Journal of diabetes science and technology.

[12]  Wiebren Zijlstra,et al.  Does walking strategy in older people change as a function of walking distance? , 2009, Gait & posture.

[13]  Bijan Najafi,et al.  Assessing Postural Control and Postural Control Strategy in Diabetes Patients Using Innovative and Wearable Technology , 2010, Journal of diabetes science and technology.

[14]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[15]  K Aminian,et al.  Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation. , 2004, Gait & posture.

[16]  Kamiar Aminian,et al.  Improved Physical Activity in Patients Treated for Chronic Pain by Spinal Cord Stimulation , 2005, Neuromodulation : journal of the International Neuromodulation Society.

[17]  K. Aminian,et al.  A new ambulatory system for comparative evaluation of the three-dimensional knee kinematics, applied to anterior cruciate ligament injuries , 2006, Knee Surgery, Sports Traumatology, Arthroscopy.

[18]  Kamiar Aminian,et al.  Quantification of everyday motor function in a geriatric population. , 2007, Journal of rehabilitation research and development.

[19]  Kamiar Aminian,et al.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly , 2003, IEEE Transactions on Biomedical Engineering.

[20]  B. Najafi,et al.  Does footwear type impact the number of steps required to reach gait steady state?: an innovative look at the impact of foot orthoses on gait initiation. , 2010, Gait & posture.

[21]  Kamiar Aminian,et al.  A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes , 2005, IEEE Transactions on Biomedical Engineering.

[22]  D. Sternad,et al.  Local dynamic stability versus kinematic variability of continuous overground and treadmill walking. , 2001, Journal of biomechanical engineering.

[23]  Bijan Najafi,et al.  A proof-of-concept study for measuring gait speed, steadiness, and dynamic balance under various footwear conditions outside of the gait laboratory. , 2010, Journal of the American Podiatric Medical Association.

[24]  Kamiar Aminian,et al.  Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applications , 2004, Comput. Animat. Virtual Worlds.

[25]  Kamiar Aminian,et al.  Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly , 2002, IEEE Transactions on Biomedical Engineering.