Academic literature on the topic 'Gait balance'

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Journal articles on the topic "Gait balance"

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Ondo, William. "Gait and balance disorders." Medical Clinics of North America 87, no. 4 (July 2003): 793–801. http://dx.doi.org/10.1016/s0025-7125(03)00005-1.

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Zackowski, Kathleen. "Gait and Balance Assessment." Seminars in Neurology 36, no. 05 (September 23, 2016): 474–78. http://dx.doi.org/10.1055/s-0036-1584949.

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Mak, Margaret. "SY2.5. Balance and gait assessment." Clinical Neurophysiology 132, no. 8 (August 2021): e42. http://dx.doi.org/10.1016/j.clinph.2021.02.032.

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VUNDAVILLI, PANDU RANGA, SAMBIT KUMAR SAHU, and DILIP KUMAR PRATIHAR. "DYNAMICALLY BALANCED ASCENDING AND DESCENDING GAITS OF A TWO-LEGGED ROBOT." International Journal of Humanoid Robotics 04, no. 04 (December 2007): 717–51. http://dx.doi.org/10.1142/s0219843607001266.

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The present paper deals with dynamically balanced ascending and descending gait generations of a 7 DOF biped robot negotiating a staircase. During navigation, the foot of the swing leg is assumed to follow a trajectory, after ensuring its kinematic constraints. Dynamic balance margin of the gaits are calculated by using the concept of zero-moment point (ZMP). In the present work, an approach different from the well-known semi-inverse method has been developed for trunk motion generation, in which it is initially generated based on static balance and then checked for its dynamic balance. The joint torques are determined utilizing the Lagrange–Euler formulation, and the average power consumption at each joint is calculated. Moreover, variations of the dynamic balance margin are studied for both the ascending as well as descending gaits of the biped robot. Average dynamic balance margin and average power consumption in the ascending gait are found to be more than that of the descending gait. The effect of trunk mass on the dynamic balance margin and average power consumption for both the ascending and descending gaits are studied. The dynamic balance margin and average power consumption are found to decrease and increase, respectively with the increase in the trunk mass.
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Syczewska, Malgorzata, Ewa Szczerbik, Malgorzata Kalinowska, Anna Swiecicka, and Grazyna Graff. "Are Gait and Balance Problems in Neurological Patients Interdependent? Enhanced Analysis Using Gait Indices, Cyclograms, Balance Parameters and Entropy." Entropy 23, no. 3 (March 17, 2021): 359. http://dx.doi.org/10.3390/e23030359.

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Background: Balance and locomotion are two main complex functions, which require intact and efficient neuromuscular and sensory systems, and their proper integration. In many studies the assumption of their dependence is present, and some rehabilitation approaches are based on it. Other papers undermine this assumption. Therefore the aim of this study was to examine the possible dependence between gait and balance in patients with neurological or sensory integration problems, which affected their balance. Methods: 75 patients (52 with neurological diseases, 23 with sensory integration problems) participated in the study. They underwent balance assessment on Kistler force plate in two conditions, six tests on a Balance Biodex System and instrumented gait analysis with VICON. The gait and balances parameters and indices, together with entropy and cyclograms were used for the analysis. Spearman correlation, multiple regression, cluster analysis, and discriminant analysis were used as analytical tools. Results: The analysis divided patients into 2 groups with 100% correctly classified cases. Some balance and gait measures are better in the first group, but some others in the second. Conclusions: This finding confirms the hypothesis that there is no direct link between gait and balance deficits.
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Ando, Takeshi, Eiichi Ohki, Yasutaka Nakashima, Yutaka Akita, Hiroshi Iijima, Osamu Tanaka, and Masakatsu G. Fujie. "Pilot Study of Split Belt Treadmill Based Gait Rehabilitation System for Symmetric Stroke Gait." Journal of Robotics and Mechatronics 24, no. 5 (October 20, 2012): 884–93. http://dx.doi.org/10.20965/jrm.2012.p0884.

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A split belt treadmill for gait rehabilitation was developed to improve the symmetry of the stance phase time of patients with stroke. The system, which increases the stance phase time of the affected leg and then realizes a well-balanced gait, is divided into two components. First, the stance phases of the sound and affected legs were measured and presented visually in real time to the patient and physical therapist as biofeedback. Second, using stance phase biofeedback, the physical therapist sets two different velocities of treadmill belts for sound and affected legs. In an experiment, 11 patients with chronic stroke participated in a short-term intervention trial (20 gait cycles) of the developed treadmill system. Three of the five subjects who had lost balance between the stance phase of the sound leg and that of the affected one improved their gait balance in the intervention trial. In addition, one subject kept the well-balanced gait after the intervention.
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Pradhan, Anwesh, Rishi Raj, Gargi Ray Chaudhuri, Shabnam Agarwal, and Tanusree Basak. "Functional balance & gait balance in normal geriatric population: By gait training with multiple task." Indian Journal of Physiotherapy and Occupational Therapy - An International Journal 12, no. 4 (2018): 39. http://dx.doi.org/10.5958/0973-5674.2018.00077.1.

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Park, Jinse. "Quantitative Analysis of Gait and Balance." Journal of the Korean Neurological Association 35, no. 4 suppl (October 27, 2017): 5–9. http://dx.doi.org/10.17340/jkna.2017.4.24.

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Berg, Katherine, and Kathleen E. Norman. "Functional Assessment of Balance and Gait." Clinics in Geriatric Medicine 12, no. 4 (November 1996): 705–23. http://dx.doi.org/10.1016/s0749-0690(18)30197-6.

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Wolfson, Leslie I., Robert Whipple, Paula Amerman, Jerry Kaplan, and Alison Kleinberg. "Gait and Balance in the Elderly." Clinics in Geriatric Medicine 1, no. 3 (August 1985): 649–59. http://dx.doi.org/10.1016/s0749-0690(18)30930-3.

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Dissertations / Theses on the topic "Gait balance"

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Hall, Courtney D. "Assessment of Balance and Gait." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/5378.

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Barker, Susan P. Freedman William. "Changes in gait, balance, and function with vestibular rehabilitation /." Philadelphia, Pa. : Drexel University, 2004. http://dspace.library.drexel.edu/handle/1860/300.

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Pettersson, Anna. "Motor function and cognition : aspects on gait and balance /." Stockholm, 2005. http://diss.kib.ki.se/2005/91-7140-431-7/.

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Lyon, Ian Nicholas Philip. "The control of balance in human stepping." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286329.

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Menant, Jasmine Charlotte Christiane Public Health &amp Community Medicine Faculty of Medicine UNSW. "Effects of footwear on balance and gait in older people." Publisher:University of New South Wales. Public Health & Community Medicine, 2008. http://handle.unsw.edu.au/1959.4/41474.

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Although footwear has been recognised as a risk factor for falls in older people, it remains unclear as to which features of shoes are beneficial or detrimental to balance. This project aimed to systematically investigate the effects of common shoe features, namely: an elevated heel, a soft sole, a hard sole, a flared sole, a bevelled heel, a high-collar and a tread sole, on balance and gait in older community-dwelling people. The experimental shoes were compared to standard shoes in three studies examining: (i) standing balance, leaning balance and stepping in 29 older people, (ii) centre of mass (COM)-base of support (BOS) margins, vertical and braking loading rates, and perceived shoe comfort and stability in 11 young and 15 older people walking on even and uneven surfaces, and (iii) temporal-spatial gait variables, pelvis acceleration, and gait termination in 10 young and 26 older people, on level, irregular and wet surfaces. Elevated heel shoes impaired overall performance in functional tests of balance and stepping. They were also perceived as lacking comfort and stability and led to a conservative walking pattern characterised by increased step width and double-support time, reduced braking and vertical loading rates and medio-lateral (ML) pelvis accelerations on various surfaces. Soft sole shoes increased lateral COM-BOS margin and step width, indicating reduced ML walking stability. When wearing these shoes, subjects had longer total stopping times and on the wet surface, smaller step lengths and shoe/floor angles at heel strike, suggesting a potential risk of slipping. When wearing high-collar shoes, subjects had better balance as demonstrated by small but significant increases in lateral COM-BOS margin, double-support time and step width, and decreases in ML pelvis accelerations on varying surfaces and in total stopping time on the wet surface. Shoes with hard, flared or tread soles or a bevelled heel did not affect balance. In conclusion, providing that they are fitted, have adequate fastening and perhaps a slip-resistant sole, shoes with a low square heel, a sole of medium hardness (shore A-40) and a high-collar provide the greatest stability for older people when walking on dry, wet and irregular surfaces.
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Stephenson, Jeannie B. "Longitudinal Quantitative Analysis of Gait and Balance in Friedreich's Ataxia." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5623.

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Friedreich's Ataxia (FA) is an autosomal-recessive, neurodegenerative disease characterized by progressive lower extremity muscle weakness and sensory loss, balance deficits, limb and gait ataxia, and dysarthria. FA is considered a sensory ataxia because the dorsal root ganglia and spinal cord dorsal columns are involved early in the disease, whereas the cerebellum is affected later. Balance deficits and gait ataxia are often evaluated clinically and in research using clinical rating scales. Recently, quantitative tools such as the Biodex Balance System SD and the GAITRite Walkway System have become available to objectively assess balance and gait, respectively. However, there are limited studies using instrumented measures to quantitatively assess and characterize balance and gait disturbances in FA, and longitudinal, quantitative analyses of both balance and gait have not been investigated in this patient cohort. The purpose of the present study was to characterize gait patterns of adults with FA and to identify changes in gait and balance over time using clinical rating scales and quantitative measures. Additionally, this study investigated the relationship between disease duration, clinical rating scale scores and objective measures of gait and balance. This study used a longitudinal research design to investigate changes in balance and gait in 8 adults with genetically confirmed FA and 8 healthy controls matched for gender, age, height, and weight. Subjects with FA were evaluated using the Berg Balance Scale (BBS), the Friedreich's Ataxia Rating Scale (FARS) and instrumented gait and balance measures at baseline, 6 months, 12 months and 24 months. Controls underwent the same tests at baseline and 12 months. Gait parameters were measured utilizing the GAITRite Walkway system with a focus on gait velocity, cadence, step and stride lengths, step and stride length variability and percent of the gait cycle in swing, stance and double limb support. Balance was assessed using the BBS and the Biodex Balance System; the latter included tests of postural stability and limits of stability. At baseline, there were significant differences in gait and balance parameters, BBS scores and FARS total scores between FA subjects and controls as determined using paired t-tests (p This is the first longitudinal study to demonstrate changes over time in gait and balance of adults with FA using both quantitative measures and clinical rating scales. This study provided a detailed characterization of the gait pattern and balance of adults with FA. The GAITRite Walkway system proved to be a sensitive measure, and able to detect subtle changes in gait parameters over time in adults with FA. In addition, the BBS was an appropriate and sensitive assessment to detect changes in static and dynamic balance in this patient cohort. Finally, results revealed a strong and consistent relationship between clinical rating scale scores, postural stability indices, limits of stability scores, and step and stride length variability in individuals with FA.
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Siu, Ka-Chun. "The contribution of attentional factors to balance constraints during gait in healthy and balance-impaired older adults." view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1251883161&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2006.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 127-135). Also available for download via the World Wide Web; free to University of Oregon users.
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Turnbull, George Innes. "A study of balance and gait following stroke : implications for rehabilitation." Thesis, Rhodes University, 1994. http://hdl.handle.net/10962/d1016251.

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This study examined: the features and extent of the gait velocity decrement following stroke; the nature of the balance disorder and; investigated relationships between gait and balance. Twenty, fully-ambulant, hemiplegic subjects (12 men and 8 women), with a mean age of 57.2 years (± 10.7), were compared with 20 age- and sex-matched controls. Spatiotemporal gait kinematics were measured at five walking speeds ranging from "very slow" to "very fast". Balance was then measured while subjects maintained a variety of weight shift postures both with feet parallel and then in diagonal positions similar to those assumed during the double support phases of gait. Location and variability of centre of pressure (CP) were measured and the ranges over which CP could be shifted were calculated. Stroke subjects walked very slowly with their "fastest" walking speed (0.5 stat/s ± 0.23) no different from the "slowest" speed (0.38 stat/s ± 0.11) of the controls (p > 0.05). Differences between the other parameters were also found, many of which could be attributed to the differences in walking speeds. However, where the subjects walked at similar velocities, the hemiplegic sample walked with quicker and shoner strides suggesting a "cautious" gait pattern. The single support asymmetry of the strokes decreased with increasing walking speed. The positions of CP in the hemiplegic sample were found to be significantly displaced towards the unaffected leg and deficiencies were found in posterior shifts (p < 0.05). Postural sway was significantly greater in the hemiplegic sample implying less stable balance and the ranges over which the hemiplegic sample shifted weight were significantly less than the controls. The diagonal weight shift tests revealed the difficulty the stroke subjects experienced in shifting CP posterolaterally over the affected leg. Significant correlations were detected confmning the presence of relationships between static balance performance and gait. However, these correlation findings left considerable percentages of variance unexplained. These findings suggest that future rehabilitation should address the poverty of range of walking speed possessed by hemiplegic subjects as well as the reduced ability to weight shift over the hemiplegic limb, particularly posterolaterally. Further study to test these proposals is indicated.
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Gatts, Strawberry K. "Neural and biomechanical mechanisms underlying balance improvement with short term tai chi training in balance impaired older adults." view abstract or download file of text, 2005. http://www.oregonpdf.org.

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Koushyar, Hoda. "Effects of Obesity and Age on Muscle Strength, Gait, and Balance Recovery." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/79720.

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Obese and older adults are reported to have a higher rate of mobility limitation and are at a higher risk of fall compared to healthy-weight and young counterparts. To help identify potential mechanisms of these mobility limitations and higher risk of falls, the purpose of the research within this dissertation was to investigate the effects of obesity and age on muscle strength, gait, and balance recovery. Three experimental studies were conducted. The purpose of the first study was to investigate the effects of obesity and age on extension and flexion strength at the hip, knee, and ankle. Absolute strength among obese participants was higher in dorsiflexion, knee extension, and hip flexion compared to healthy-weight participants. Strength relative to body mass was lower among obese participants in all joints/exertions. This lack of uniformity across the 6 exertions is likely due to the still unclear underlying biomechanical mechanism responsible for these strength differences, which may also be influenced by aging. The purpose of the second study was to investigate the effects of obesity, age and, their interactions on relative effort at the hip, knee, and ankle during gait. The peak relative effort for each joint/exertion was expressed by peak NMM during gait as a percentage of the maximum available NMM. The relative effort in hip, knee, and ankle was higher among obese compared to healthy-weight participants. This higher relative effort in hip, knee, and especially in the ankle can be a contributing factor to compromised walking ability among obese individuals. The purpose of the third study was to investigate the effects of age-related strength loss on non-stepping balance recovery capability after a perturbation while standing, without constraining the movements to ankle strategy. The balance recovery capability was quantified by the maximum recoverable platform displacement (MRPD) that was withstood without stepping. Two experiments were conducted. The first experiment involved human subjects and the results suggested that MRPD was lower among older participants compared to young participants. The second experiment involved a simulation study to manipulate muscle strength at hip, knee, and ankle. The results suggested that MRPD was reduced in cases of loss of strength in ankle plantar flexion and hip flexion compared to the young model and did not differ in rest of the cases. The finding suggested that plantar flexor strength plays a major role in capability to recover balance even though the movement was not constrained to the ankle.
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Books on the topic "Gait balance"

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Sandrini, Giorgio, Volker Homberg, Leopold Saltuari, Nicola Smania, and Alessandra Pedrocchi, eds. Advanced Technologies for the Rehabilitation of Gait and Balance Disorders. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72736-3.

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E, Harris Susan. Horse gaits, balance, and movement. New York: Howell Book House, 1993.

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Books, Prevention Magazine Health, ed. The sugar solution: Balance your blood sugar naturally to prevent disease, lose weight, gain energy and feel great. London: Rodale, 2006.

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The body balance diet plan: Lose excess weight, gain energy and feel fantastic with the science of Ayurveda. London: Watkins, 2015.

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Lord, Stephen R., and Brian L. Day. Balance, Gait, and Falls. Elsevier, 2018.

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Balance, Gait, and Falls. Elsevier, 2018. http://dx.doi.org/10.1016/c2016-0-01144-0.

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Innes, Keith. Posture, Gait, Balance and Rehabilitation. Jones & Bartlett Publishers, 2008.

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(Editor), Adolfo M. Bronstein, Thomas Brandt (Editor), Marjorie H. Woollacott (Editor), and John G. Nutt (Editor), eds. Clinical Disorders of Balance, Posture and Gait. 2nd ed. A Hodder Arnold Publication, 2004.

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Christen, Y., B. Vellas, M. Toupet, L. Rubenstein, J. L. Albarede, and Albarè. Falls, Balance and Gait Disorders in the Elderly. Elsevier Science Ltd, 1992.

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Clinical Disorders of Balance, Posture and Gait, 2Ed. CRC Press, 1996. http://dx.doi.org/10.1201/b13189.

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Book chapters on the topic "Gait balance"

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Patikas, Dimitrios. "Gait and Balance." In Comorbid Conditions in Individuals with Intellectual Disabilities, 317–49. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15437-4_11.

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Dolezal, Ondrej. "Balance and Gait Problems." In Clinical Cases in Neurology, 155–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16628-1_23.

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Cruz-Oliver, Dulce M. "Gait, Balance and Falls." In Pathy's Principles and Practice of Geriatric Medicine, 1091–110. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119952930.ch91.

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Patikas, Dimitrios. "Erratum to: Gait and Balance." In Comorbid Conditions in Individuals with Intellectual Disabilities, E1. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15437-4_15.

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Hsieh, Christine, Stephanie Fleegle, and Christine A. Arenson. "Mobility, Gait, Balance, and Falls." In Geriatric Urology, 89–102. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9047-0_7.

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Crowther, Robert George, and Jessica May Pohlmann. "Gait Retraining for Balance Improvement." In Handbook of Human Motion, 1–9. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30808-1_188-1.

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Frucht, Steven J., and Pichet Termsarasab. "Phenomenology of Gait and Balance." In Movement Disorders Phenomenology, 203–13. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36975-0_13.

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Crowther, Robert G., and Jessica May Pohlmann. "Gait Retraining for Balance Improvement." In Handbook of Human Motion, 977–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_188.

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Bloem, Bastiaan R., Alexander C. Geurts, S. Hassin-Baer, and Nir Giladi. "Treatment of Gait and Balance Disorders." In Therapeutics of Parkinson's Disease and Other Movement Disorders, 417–43. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470713990.ch28.

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Schauer, Thomas, and Thomas Seel. "Gait Training by FES." In Advanced Technologies for the Rehabilitation of Gait and Balance Disorders, 307–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72736-3_22.

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Conference papers on the topic "Gait balance"

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Koopman, B., J. H. Meuleman, E. H. F. van Asseldonk, and H. van der Kooij. "Lateral balance control for robotic gait training." In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR 2013). IEEE, 2013. http://dx.doi.org/10.1109/icorr.2013.6650363.

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Seok Hun Kim and Kyle B. Reed. "Robot-assisted balance training for gait modification." In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR 2013). IEEE, 2013. http://dx.doi.org/10.1109/icorr.2013.6650421.

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Miller, W. Thomas, Paul J. Latham, and Stephen M. Scalera. "Bipedal Gait Adaptation For Walking With Dynamic Balance." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791649.

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Webb, Jacob, Alexander Leonessa, and Dennis Hong. "Gait design and gain-scheduled balance controller of an under-actuated robotic platform." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7354102.

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Munawar, Hammad, Mustafa Yalcin, and Volkan Patoglu. "Redundant kinematics and workspace centering control of AssistOn-Gait overground gait and balance trainer." In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487556.

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Wang, Wei-Hsin, Pau-Choo Chung, Guo-Liang Yang, Chien-Wen Lin, Yu-Liang Hsu, and Ming-Chyi Pai. "An inertial sensor based balance and gait analysis system." In 2015 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2015. http://dx.doi.org/10.1109/iscas.2015.7169227.

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Mummolo, Carlotta, Sukyung Park, Luigi Mangialardi, and Joo H. Kim. "Loaded Versus Unloaded Gait Balance Stability: A Measure of Dynamic Walking." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47741.

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Several stability indices exist in the literature, each within their contexts and perspectives of quantification. However, no relevant index for the quantification of gait balance stability has been rigorously developed. Here, the novel Dynamic Gait Measure (DGM) is used to characterize the distinct gait balance stability of loaded walking, as compared to normal human walking. The DGM quantifies the normalized effects of inertia of a given gait with respect to the time-varying foot support region. The DGM is formulated in terms of the gait parameters reflecting a given gait strategy, and is extended to multiple steps of the gait cycle. The altered gait kinematics observed during load carriage (decreased single support duration, inertia effects, and step length) results in decreased DGM values (p < 0.0001), indicating that loaded walking is more statically stable compared with the unloaded walking. The DGM is compared with other common gait stability indices to validate its unique ability to catch the alteration (due to load carriage) in its corresponding gait stability characteristics.
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Zhang, Ting, and He Helen Huang. "Enhancing gait balance via a 4-DoFs wearable hip exoskeleton." In 2017 International Symposium on Wearable & Rehabilitation Robotics (WeRob). IEEE, 2017. http://dx.doi.org/10.1109/werob.2017.8383824.

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Fagert, Jonathon, Mostafa Mirshekari, Shijia Pan, Pei Zhang, and Hae Young Noh. "Characterizing left-right gait balance using footstep-induced structural vibrations." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Jerome P. Lynch. SPIE, 2017. http://dx.doi.org/10.1117/12.2260376.

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Mummolo, Carlotta, William Z. Peng, Carlos Gonzalez, and Joo H. Kim. "Contact-Dependent Balance Stability of Walking Robots." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68272.

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A novel theoretical framework for the identification of the balance stability regions of biped systems is implemented on a real robotic platform. With the proposed method, the balance stability capabilities of a biped robot are quantified by a balance stability region in the state space of center of mass (COM) position and velocity. The boundary of such a stability region provides a threshold between balanced and falling states for the robot by including all possible COM states that are balanced with respect to a specified feet/ground contact configuration. A COM state outside of the stability region boundary is the sufficient condition for a falling state, from which a change in the specified contact configuration is inevitable. By specifying various positions of the robot’s feet on the ground, the effects of different contact configurations on the robot’s balance stability capabilities are investigated. Experimental walking trajectories of the robot are analyzed in relationship with their respective stability boundaries, to study the robot balance control during various gait phases.
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Reports on the topic "Gait balance"

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Alshahrani, Mastour Saeed, Kumar Gular, Jayashanker Tedla, Kangaraj Rengaramanujam, Venkata Nagaraj Kakaraparthi, Snehil Dixit, and Ravi Shankar Reddy. Effect of Lower Limb Constrained Induced Movement Therapy on Gait, Balance, and Cardiovascular parameters-A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0008.

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Osterheld, A. L., R. S. Walling, and B. K. F. Young. Ionization balance and gain calculations for neon-like selenium x-ray laser plasmas. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10153997.

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