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Journal articles on the topic 'Gait analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 22 June 2024

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1

Kim, Youngho, and Jinbok Yi. "Gait Analysis in Normal and Hemiplegic Patients Using Accelerometers(Gait & Motion Analysis)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 113–14. http://dx.doi.org/10.1299/jsmeapbio.2004.1.113.

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2

DeLuca, Peter A. "Gait analysis." Current Opinion in Orthopaedics 4, no. 6 (December 1993): 101–4. http://dx.doi.org/10.1097/00001433-199312000-00018.

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3

Paul, J. P. "Gait analysis." Annals of the Rheumatic Diseases 48, no. 3 (March 1, 1989): 179–81. http://dx.doi.org/10.1136/ard.48.3.179.

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4

Seidel, Geoffrey K. "Gait Analysis." American Journal of Physical Medicine & Rehabilitation 72, no. 6 (December 1993): 408. http://dx.doi.org/10.1097/00002060-199312000-00016.

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5

Perry, Jacquelin, Slac k, and Jon R. Davids. "Gait Analysis." Journal of Pediatric Orthopaedics 12, no. 6 (November 1992): 815. http://dx.doi.org/10.1097/01241398-199211000-00023.

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6

Eriksson, Ejnar. "Gait analysis." Knee Surgery, Sports Traumatology, Arthroscopy 10, no. 4 (June 19, 2002): 203. http://dx.doi.org/10.1007/s00167-002-0299-6.

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7

GAGE, JAMES R. "Gait Analysis." Clinical Orthopaedics and Related Research &NA;, no. 288 (March 1993): 126???134. http://dx.doi.org/10.1097/00003086-199303000-00016.

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8

GAGE, JAMES R., PETER A. DELUCA, and THOMAS S. RENSHAW. "Gait Analysis." Journal of Bone & Joint Surgery 77, no. 10 (October 1995): 1607–23. http://dx.doi.org/10.2106/00004623-199510000-00017.

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9

Hatze, Herbert. "Gait Analysis." Journal of Motor Behavior 19, no. 2 (June 1987): 280–87. http://dx.doi.org/10.1080/00222895.1987.10735413.

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10

Law, YC, AFT Mak, WN Wong, and M. Zhang. "THE VARIATION OF DYNAMIC FOOT PRESSURE WITH GAIT PARAMETER.(Gait & Motion Analysis)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 115–16. http://dx.doi.org/10.1299/jsmeapbio.2004.1.115.

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11

Umair Bin Altaf, M., Taras Butko, and Biing-Hwang Juang. "Acoustic Gaits: Gait Analysis With Footstep Sounds." IEEE Transactions on Biomedical Engineering 62, no. 8 (August 2015): 2001–11. http://dx.doi.org/10.1109/tbme.2015.2410142.

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12

MARUYAMA, Hitoshi. "Movement Analysis. Gait analysis." Journal of exercise physiology 8, no. 3 (1993): 147–52. http://dx.doi.org/10.1589/rika1986.8.147.

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13

Yanagizono, Taiichiro, Seiji Higuchi, Risa Kondo, Yoko Katsushima, Ichiro Kadouchi, and Akihiro Kawano. "Gait Analysis Using the Gillete Gait Index." Orthopedics & Traumatology 59, no. 2 (2010): 293–95. http://dx.doi.org/10.5035/nishiseisai.59.293.

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14

Ramakrishnan, Tyagi, Seok Hun Kim, and Kyle B. Reed. "Human Gait Analysis Metric for Gait Retraining." Applied Bionics and Biomechanics 2019 (November 11, 2019): 1–8. http://dx.doi.org/10.1155/2019/1286864.

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The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries. It can also combine subsets of the different gait parameters to provide a more thorough analysis. The single number quantifying gait could assist robotic rehabilitation methods to optimize the resulting gait patterns. CGAM will help define quantitative thresholds for achievable balanced overall gait asymmetry. The study presented here compares the combined gait parameters with clinical measures such as timed up and go (TUG), six-minute walk test (6MWT), and gait velocity. The comparisons are made on gait data collected on individuals with stroke before and after twelve sessions of rehabilitation. Step length, step time, and swing time showed a strong correlation to CGAM, but the double limb support asymmetry has nearly no correlation with CGAM and ground reaction force asymmetry has a weak correlation. The CGAM scores were moderately correlated with TUG and strongly correlated to 6MWT and gait velocity.

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15

Souza, R. "ABCs of gait and running gait analysis." Osteoarthritis and Cartilage 27 (April 2019): S18. http://dx.doi.org/10.1016/j.joca.2019.02.018.

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16

KITADA, Tatuo, Koji ITO, Yasuro KUROSE, and Yoshimasa UMENO. "A KNOWLEDGE-BASED GAIT ANALYSIS SUPPORTING SYSTEM (GAITS)." Biomechanisms 9 (1988): 207–16. http://dx.doi.org/10.3951/biomechanisms.9.207.

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17

Rui, Jing, M. Brett Runge, Robert J. Spinner, Michael J. Yaszemski, Anthony J. Windebank, and Huan Wang. "Gait Cycle Analysis." Annals of Plastic Surgery 73, no. 4 (October 2014): 405–11. http://dx.doi.org/10.1097/sap.0000000000000008.

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18

Kyriazis, Vasilios. "Gait analysis techniques." Journal of Orthopaedics and Traumatology 2, no. 1 (November 2001): 1–6. http://dx.doi.org/10.1007/pl00012205.

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19

Murphy, A. J., P. J. Rowe, R. J. Bowers, and C. B. Meadows. "Accessible gait analysis." Gait & Posture 36 (June 2012): S73—S74. http://dx.doi.org/10.1016/j.gaitpost.2011.10.307.

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20

Davis, R. B. "Clinical gait analysis." IEEE Engineering in Medicine and Biology Magazine 7, no. 3 (September 1988): 35–40. http://dx.doi.org/10.1109/51.7933.

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21

Fangzhe Chen, Fangzhe Chen, Xuwei Fan Fangzhe Chen, Jianpeng Li Xuwei Fan, Min Zou Jianpeng Li, and Lianfen Huang Min Zou. "Gait Analysis Based Parkinson’s Disease Auxiliary Diagnosis System." 網際網路技術學刊 22, no. 5 (September 2021): 989–97. http://dx.doi.org/10.53106/160792642021092205005.

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22

Rana, Priyanka, Shabnam Joshi, and Monika Bodwal. "QUANTITATIVE GAIT ANALYSIS IN PATIENTS WITH KNEE OSTEOARTHRITIS." International Journal of Physiotherapy and Research 4, no. 5 (October 11, 2016): 1684–88. http://dx.doi.org/10.16965/ijpr.2016.164.

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23

Kim, Jaewook, Yekwang Kim, and Seung-Jong Kim. "Biomechanical Task-Based Gait Analysis Suggests ReWalk Gait Resembles Crutch Gait." Applied Sciences 12, no. 24 (December 8, 2022): 12574. http://dx.doi.org/10.3390/app122412574.

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Current gait rehabilitation strategies rely heavily on motor learning principles, which involve facilitating active patient participation, high-doses of biomechanical task-related motor activities and accurate feedback. Furthermore, appropriate muscle groups need to be recruited for the joint movements that constitute the biomechanical task-related activities in order to effectively promote motor learning. Recently, exoskeleton-type robots utilizing crutches have been incorporated into overground gait rehabilitation programs. However, it is unclear which gait-related tasks are being trained because the joint movements and muscle recruitment patterns deviate from those of natural gait. This raises concerns because repetitive training with these devices may not lead to desirable rehabilitative gains. In this study, we compare the lower limb joint angles and electromyography patterns of healthy subjects walking with and without ReWalk in accordance with the three major biomechanical tasks required by bipedal gait: weight acceptance (WA), single-limb support, and limb advancement. Furthermore, we investigate whether the physical constraints of ReWalk, most noticeably the use of crutches and fixed ankle joints, were responsible for the specific changes by conducting additional walking sessions with either crutches or ankle foot orthoses. The results from the six healthy male volunteers suggest that the gait patterns observed with ReWalk deviate significantly from those of natural gait, particularly during the WA, and closely resemble those of crutch gait.

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24

Ueki, Riki, Masamori Shigematsu, Takami Higo, Tsutomu Motooka, and Takao Hotokebuchi. "Quantitative Gait Evaluation of Coxarthrosis Using Gait Analysis." Orthopedics & Traumatology 54, no. 4 (2005): 664–67. http://dx.doi.org/10.5035/nishiseisai.54.664.

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25

MIYASHITA, Hirotada, Hideyasu SUMIYA, and Masatake SHIRAISHI. "304 Gait Assessment from Human Gait Pattern Analysis." Proceedings of Ibaraki District Conference 2008 (2008): 65–66. http://dx.doi.org/10.1299/jsmeibaraki.2008.65.

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26

Gonzalez-Islas, Juan-Carlos, Omar-Arturo Dominguez-Ramirez, Omar Lopez-Ortega, Jonatan Peña-Ramirez, Jesus-Patricio Ordaz-Oliver, and Francisco Marroquin-Gutierrez. "Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics." Applied Sciences 12, no. 20 (October 11, 2022): 10197. http://dx.doi.org/10.3390/app122010197.

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Crouch gait is one of the most common gait abnormalities; it is usually caused by cerebral palsy. There are few works related to the modeling of crouch gait kinematics, crouch gait analysis, and visualization in both the workspace and joint space. In this work, we present a quaternion-based method to solve the forward kinematics of the position of the lower limbs during walking. For this purpose, we propose a modified eight-DoF human skeletal model. Using this model, we present a geometric method to calculate the gait inverse kinematics. Both methods are applied for gait analysis over normal, mild, and severe crouch gaits, respectively. A metric-based comparison of workspace and joint space for the three gaits for a gait cycle is conducted. In addition, gait visualization is performed using Autodesk Maya for the three anatomical planes. The obtained results allow us to determine the capabilities of the proposed methods to assess the performance of crouch gaits, using a normal pattern as a reference. Both forward and inverse kinematic methods could ultimately be applied in rehabilitation settings for the diagnosis and treatment of diseases derived from crouch gaits or other types of gait abnormalities.

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27

NAKAMURA, HIDETOMO. "Gait Analysis in Coxarthrosis." Kurume Medical Journal 46, no. 1 (1999): 1–7. http://dx.doi.org/10.2739/kurumemedj.46.1.

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28

Curran, Sarah A., and Howard J. Dananberg. "Future of Gait Analysis." Journal of the American Podiatric Medical Association 95, no. 2 (March 1, 2005): 130–42. http://dx.doi.org/10.7547/0950130.

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Despite the plethora of information on human gait analysis, its continued use as a clinical tool remains uncertain. Analysis of gait dysfunction has become integral to podiatric medical practice, and, like many specialized fields, it is rapidly changing to meet the needs of the future. Practice in the 21st century is predicated on the concept of multidisciplinary working approaches and a growing trend toward evidence-based practice, in which gait analysis could play a prominent role. This article provides a historical synopsis of instrumented gait analysis and its associated subcomponents and discusses the salient issues concerning its future role in podiatric medicine. (J Am Podiatr Med Assoc 95(2): 130–142, 2005)

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29

ISHIKAWA, Kazuo, Yan WANG, Yutaka SHIBATA, Weng Hoe WONG, and Yoshiaki ITASAKA. "Vertigo and Gait Analysis." Practica Oto-Rhino-Laryngologica 95, no. 5 (2002): 427–36. http://dx.doi.org/10.5631/jibirin.95.427.

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30

Ueki, Riki, Masamori Shigematsu, Tsutomu Motooka, and Takao Hotokebuchi. "Gait Analysis in Coxarthrosis." Orthopedics & Traumatology 54, no. 1 (2005): 173–75. http://dx.doi.org/10.5035/nishiseisai.54.173.

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31

CONDIE, DAVID N. "Gait Analysis — An Introduction." International Journal of Rehabilitation Research 15, no. 2 (June 1992): 181. http://dx.doi.org/10.1097/00004356-199206000-00017.

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32

Ranu, Harcharan Singh. "Gait Analysis of Amputees." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S261. http://dx.doi.org/10.1249/01.mss.0000274000.36138.b2.

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33

Sackley, Cath. "Gait Analysis — An introduction." Physiotherapy 82, no. 11 (November 1996): 641. http://dx.doi.org/10.1016/s0031-9406(05)66357-2.

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34

BOWKER, PETER. "Gait Analysis: An introduction." Physiotherapy 77, no. 11 (November 1991): 786. http://dx.doi.org/10.1016/s0031-9406(10)62081-0.

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35

Corr, S. A., C. C. McCorquodale, and M. J. Gentle. "Gait analysis of poultry." Research in Veterinary Science 65, no. 3 (November 1998): 233–38. http://dx.doi.org/10.1016/s0034-5288(98)90149-7.

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36

Zanchi, V., V. Papić, and M. Cecić. "Quantitative human gait analysis." Simulation Practice and Theory 8, no. 1-2 (April 2000): 127–39. http://dx.doi.org/10.1016/s0928-4869(00)00014-8.

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37

Yang, Yanming, Fang Lin, Bo Yuan, and Zheng Li. "Ultrasonic gait analysis system." Computer Standards & Interfaces 21, no. 2 (June 1999): 120. http://dx.doi.org/10.1016/s0920-5489(99)92007-x.

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38

Dalin, Goran, and Leo B. Jeffcott. "Locomotion and Gait Analysis." Veterinary Clinics of North America: Equine Practice 1, no. 3 (December 1985): 549–72. http://dx.doi.org/10.1016/s0749-0739(17)30750-2.

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39

Thomas, Susan Sienko, and Jenna Barnett. "Walking through Gait Analysis." Orthopaedic Nursing 13, no. 6 (November 1994): 7–13. http://dx.doi.org/10.1097/00006416-199411000-00003.

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40

Le Bras, Alexandra. "Gait analysis in mice." Lab Animal 49, no. 9 (August 20, 2020): 252. http://dx.doi.org/10.1038/s41684-020-0626-x.

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41

Harris, Gerald F., and Jacqueline J. Wertsch. "Procedures for gait analysis." Archives of Physical Medicine and Rehabilitation 75, no. 2 (February 1994): 216–25. http://dx.doi.org/10.1016/0003-9993(94)90399-9.

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42

Viehweger, E., L. Zürcher Pfund, M. Hélix, M. A. Rohon, M. Jacquemier, D. Scavarda, J. L. Jouve, G. Bollini, A. Loundou, and M. C. Simeoni. "Influence of clinical and gait analysis experience on reliability of observational gait analysis (Edinburgh Gait Score Reliability)." Annals of Physical and Rehabilitation Medicine 53, no. 9 (November 2010): 535–46. http://dx.doi.org/10.1016/j.rehab.2010.09.002.

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43

Sipari, Dario, Betsy D. M. Chaparro-Rico, and Daniele Cafolla. "SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis." International Journal of Environmental Research and Public Health 19, no. 16 (August 14, 2022): 10032. http://dx.doi.org/10.3390/ijerph191610032.

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The gait cycle of humans may be influenced by a range of variables, including neurological, orthopedic, and pathological conditions. Thus, gait analysis has a broad variety of applications, including the diagnosis of neurological disorders, the study of disease development, the assessment of the efficacy of a treatment, postural correction, and the evaluation and enhancement of sport performances. While the introduction of new technologies has resulted in substantial advancements, these systems continue to struggle to achieve a right balance between cost, analytical accuracy, speed, and convenience. The target is to provide low-cost support to those with motor impairments in order to improve their quality of life. The article provides a novel automated approach for motion characterization that makes use of artificial intelligence to perform real-time analysis, complete automation, and non-invasive, markerless analysis. This automated procedure enables rapid diagnosis and prevents human mistakes. The gait metrics obtained by the two motion tracking systems were compared to show the effectiveness of the proposed methodology.

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44

Shen, Zhe, and Takeshi Tsuchiya. "Gait Analysis for a Tiltrotor: The Dynamic Invertible Gait." Robotics 11, no. 2 (March 16, 2022): 33. http://dx.doi.org/10.3390/robotics11020033.

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A conventional feedback-linearization-based controller, when applied to a tiltrotor (eight inputs), results in extensive changes in tilting angles, which are not expected in practice. To solve this problem, we introduce the novel concept of “UAV gait” to restrict the tilting angles. The gait plan was initially used to solve the control problems in quadruped (four-legged) robots. Applying this approach, accompanied by feedback linearization, to a tiltrotor may give rise to the well-known non-invertible problem in the decoupling matrix. In this study, we explored invertible gait in a tiltrotor, and applied feedback linearization to stabilize the attitude and the altitude. The conditions necessary to achieve a full-rank decoupling matrix were deduced and simplified to near-zero roll and zero pitch. This paper proposes several invertible gaits to conduct an attitude–altitude control test. The accepted gaits within the region of interest were visualized. The simulation was conducted in Simulink, MATLAB. The results show promising responses in stabilizing attitude and altitude.

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45

Gonzalez-Islas, Juan Carlos, Omar Arturo Dominguez-Ramirez, Heydy Castillejos-Fernandez, and Felix Agustin Castro-Espinoza. "Human gait analysis based on automatic recognition: A review." Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI 10, Especial3 (August 31, 2022): 13–21. http://dx.doi.org/10.29057/icbi.v10iespecial3.8927.

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Gait analysis is one of the most important challenging research areas in clinical and computing settings. Gait biomechanics and gait human recognition are two major areas of interest. Alterations in walking can cause physical and metal health problems in people, so diagnoses and treatments derived from optimal gait analysis are very useful in clinical settings. This paper surveys the gait analysis methods, applications and platforms, gait biomechanics, as well as, gait recognition approaches, and datasets. Then, we describe contributions in gait forward kinematics, useful to assess gaits such as crouched and normal. Also, a framework for antalgic gait recognition based on human activity, using the gyroscope embedded in a smartphone is described. Different algorithms and metrics were used to perform the gait recognition, highlighting Support Vector Machines, Naive Bayes, k- Nearest Neighbours, and Accuracy and F-measure, respectively. Finally, we discuss the challenges and future perspectives on gait recognition.

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46

Watelain, Éric. "Human gait: From clinical gait analysis to diagnosis assistance." Movement & Sport Sciences 98, no. 4 (2017): 3. http://dx.doi.org/10.3917/sm.098.0003.

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47

SHINJI, tomoyuki, hirotada MIYASHITA, and hideyasu SUMIYA. "1002 Gait Assessment based on Human Gait Pattern Analysis." Proceedings of Ibaraki District Conference 2009 (2009): 255–56. http://dx.doi.org/10.1299/jsmeibaraki.2009.255.

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48

Petrofsky, J. S. "Microprocessor-based gait analysis system to retrain Trendelenburg gait." Medical & Biological Engineering & Computing 39, no. 1 (January 2001): 140–43. http://dx.doi.org/10.1007/bf02345278.

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49

Wisse, Martijn. "Bipedal walking robots: From gait analysis to gait synthesis." Gait & Posture 24 (December 2006): S4—S6. http://dx.doi.org/10.1016/j.gaitpost.2006.11.007.

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50

Wren, Tishya A. L., Khanh Patrick Do, Reiko Hara, Frederick J. Dorey, Robert M. Kay, and Norman Y. Otsuka. "Gillette Gait Index as a Gait Analysis Summary Measure." Journal of Pediatric Orthopaedics 27, no. 7 (October 2007): 765–68. http://dx.doi.org/10.1097/bpo.0b013e3181558ade.

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