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Journal articles on the topic 'Gait type'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Kozlow, Patrick, Noor Abid, and Svetlana Yanushkevich. "Gait Type Analysis Using Dynamic Bayesian Networks." Sensors 18, no. 10 (2018): 3329. http://dx.doi.org/10.3390/s18103329.

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This paper focuses on gait abnormality type identification—specifically, recognizing antalgic gait. Through experimentation, we demonstrate that detecting an individual’s gait type is a viable biometric that can be used along with other common biometrics for applications such as forensics. To classify gait, the gait data is represented by coordinates that reflect the body joint coordinates obtained using a Microsoft Kinect v2 system. Features such as cadence, stride length, and other various joint angles are extracted from the input data. Using approaches such as the dynamic Bayesian network,

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Albuquerque, Pedro, João Pedro Machado, Tanmay Tulsidas Verlekar, Paulo Lobato Correia, and Luís Ducla Soares. "Remote Gait Type Classification System Using Markerless 2D Video." Diagnostics 11, no. 10 (2021): 1824. http://dx.doi.org/10.3390/diagnostics11101824.

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Several pathologies can alter the way people walk, i.e., their gait. Gait analysis can be used to detect such alterations and, therefore, help diagnose certain pathologies or assess people’s health and recovery. Simple vision-based systems have a considerable potential in this area, as they allow the capture of gait in unconstrained environments, such as at home or in a clinic, while the required computations can be done remotely. State-of-the-art vision-based systems for gait analysis use deep learning strategies, thus requiring a large amount of data for training. However, to the best of our

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3

IHASHI, TAKAAKI. "Research on feedback type gait training equipment." Journal of Life Support Engineering 10, no. 2 (1998): 65–66. http://dx.doi.org/10.5136/lifesupport.10.65.

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4

Kim, Jaewook, Yekwang Kim, and Seung-Jong Kim. "Biomechanical Task-Based Gait Analysis Suggests ReWalk Gait Resembles Crutch Gait." Applied Sciences 12, no. 24 (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 be

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Li, Chenghao, Kah Phooi Seng, and Li-Minn Ang. "Gait-To-Gait Emotional Human–Robot Interaction Utilizing Trajectories-Aware and Skeleton-Graph-Aware Spatial–Temporal Transformer." Sensors 25, no. 3 (2025): 734. https://doi.org/10.3390/s25030734.

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The emotional response of robotics is crucial for promoting the socially intelligent level of human–robot interaction (HRI). The development of machine learning has extensively stimulated research on emotional recognition for robots. Our research focuses on emotional gaits, a type of simple modality that stores a series of joint coordinates and is easy for humanoid robots to execute. However, a limited amount of research investigates emotional HRI systems based on gaits, indicating an existing gap in human emotion gait recognition and robotic emotional gait response. To address this challenge,

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6

S., Sophia, K.Sowmiya, Vinesha P., Rajarajeshwari S., and Athithya Janani A. "Gait Abnormality Classification in Clinical Field." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 128–31. https://doi.org/10.35940/ijeat.C6388.049420.

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This paper presents a novel technique of classifying the abnormalities in gait. Determining or analyzing the different movements in the limbs of human beings, gait assessment can be made. Gait prediction plays a dynamic role in the clinical field to improve the outcome of the treatment. By predicting the type of abnormalities of gait, the patients can be provided with the proper treatment and thus improving the quality of life. In the proposed method, convolutional neural network and support vector machine algorithm have been used in classifying the various abnormalities of gait such as freezi

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Sorrentino, Pierpaolo, Antonio Barbato, Luigi Del Gaudio, et al. "Impaired gait kinematics in type 1 Gaucher’s Disease." Journal of Parkinson's Disease 6, no. 1 (2016): 191–95. http://dx.doi.org/10.3233/jpd-150660.

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TOMOKUNI, Yuya, Nobutaka TSUJIUCHI, Akihito ITO, Yuto KAJITANI, and Carlos Omar Vazquez Mondragon. "Gait Analysis Using Belt Type Load-controlled Treadmill." Proceedings of Conference of Kansai Branch 2023.98 (2023): 20807. https://doi.org/10.1299/jsmekansai.2023.98.20807.

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9

Makita, Shinobu, Takashi Kodera, Masashi Hisano, Yuhei Yamaguchi, and Junji Furusho. "Transition Gait by Horse-type Quadruped Robot PONY." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2002 (2002): 67. http://dx.doi.org/10.1299/jsmermd.2002.67_4.

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KAEDE, Kazunori, and Tooru NOGAI. "305 Gait Generation for Crutches-Type Walking Robot." Proceedings of the JSME annual meeting 2006.5 (2006): 9–10. http://dx.doi.org/10.1299/jsmemecjo.2006.5.0_9.

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11

Tiffreau, Vincent, Christine Detrembleur, Peter Van Den Bergh, et al. "Gait among Patients with Myotonic Dystrophy Type 1." Journal of the International Society of Physical and Rehabilitation Medicine 1, no. 2 (2018): 65–71. http://dx.doi.org/10.4103/ijprm.ijprm_8_18.

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12

McCarley, Joseph M., Marie M. Kelly, Madison R. Taylor, et al. "Methylation Percentage Among FSHD Type 1 Relates To Gait Impairment Analyzed Using Custom Gait Application." Medicine & Science in Sports & Exercise 54, no. 9S (2022): 563. http://dx.doi.org/10.1249/01.mss.0000882124.66338.85.

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13

Nadkarni, Neelesh K., Stephanie A. Studenski, Subashan Perera, et al. "White Matter Hyperintensities, Exercise, and Improvement in Gait Speed: Does Type of Gait Rehabilitation Matter?" Journal of the American Geriatrics Society 61, no. 5 (2013): 686–93. http://dx.doi.org/10.1111/jgs.12211.

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14

Naito, Makiko, Sayaka Aoki, Anri Kamide, et al. "Gait analysis in Down syndrome pediatric patients using a sheet-type gait analyzer: Pilot study." Pediatrics International 57, no. 5 (2015): 860–63. http://dx.doi.org/10.1111/ped.12691.

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15

Patterson, L., E. A. Staiger, and S. A. Brooks. "DMRT3is associated with gait type in Mangalarga Marchador horses, but does not control gait ability." Animal Genetics 46, no. 2 (2015): 213–15. http://dx.doi.org/10.1111/age.12273.

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16

Herman, Mariana, Amanda Manara Caceres, Ana Luísa H. Albuquerque, et al. "DMRT3 Allele Frequencies in Batida- and Picada-Gaited Donkeys and Mules in Brazil." Animals 13, no. 24 (2023): 3829. http://dx.doi.org/10.3390/ani13243829.

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In Brazil, the production of mules with a comfortable gait involves primarily the breeding of marching saddle mules. This is achieved by crossing gaited Pêga donkeys with horses from the Mangalarga Marchador and Campolina breeds. The DMRT3:g.22999655C>A SNP is implicated in regulating gait phenotypes observed in various horse breeds, including the batida (CC) and picada (CA) gaits found in these horse breeds. We aimed to determine if genotypes influenced gait type in 159 mules and 203 donkeys genotyped for the DMRT3 SNP using PCR-RFLP analysis. About 47% of mules had the CC-genotype, while

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17

Lee, Myeounggon, Changhong Youm, Byungjoo Noh, and Hwayoung Park. "Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking." Sensors 20, no. 7 (2020): 2095. http://dx.doi.org/10.3390/s20072095.

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This study investigated the gait characteristics of healthy young adults using shoe-type inertial measurement units (IMU) during treadmill walking. A total of 1478 participants were tested. Principal component analyses (PCA) were conducted to determine which principal components (PCs) best defined the characteristics of healthy young adults. A non-hierarchical cluster analysis was conducted to evaluate the essential gait ability, according to the results of the PC1 score. One-way repeated analysis of variance with the Bonferroni correction was used to compare gait performances in the cluster g

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18

MAHONEY, DIANA. "BP, Gait Linked to Cognitive Deficits in Type 2." Family Practice News 40, no. 17 (2010): 62. http://dx.doi.org/10.1016/s0300-7073(10)71090-2.

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19

Wada, Naoki. "The Type of Abnormal Gait and the Causative Disease." Japanese Journal of Rehabilitation Medicine 55, no. 9 (2018): 730–34. http://dx.doi.org/10.2490/jjrmc.55.730.

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20

Makita, Sinobu, Masashi Hisano, Takashi Kodera, Yuhei Yamaguti, and Junji Furusho. "Transition and Trot gait of Horse-type Quadruped Robot." Proceedings of the International Conference on Motion and Vibration Control 6.1 (2002): 385–90. http://dx.doi.org/10.1299/jsmeintmovic.6.1.385.

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21

Garman, Christina R., Adam Graf, Joseph Krzak, Angela Caudill, Peter Smith, and Gerald Harris. "Gait Deviations in Children With Osteogenesis Imperfecta Type I." Journal of Pediatric Orthopaedics 39, no. 8 (2019): e641-e646. http://dx.doi.org/10.1097/bpo.0000000000001062.

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22

YASE, Hayato, and Daisuke SASAKI. "Study on gait assist by spinal type holding device." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (2019): 1P1—I02. http://dx.doi.org/10.1299/jsmermd.2019.1p1-i02.

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23

Petrofsky, Jerrold, Scott Lee, and Salameh Bweir. "Gait characteristics in people with type 2 diabetes mellitus." European Journal of Applied Physiology 93, no. 5-6 (2004): 640–47. http://dx.doi.org/10.1007/s00421-004-1246-7.

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24

Garman, Christina, Adam Graf, Joseph Krzak, and Peter Smith Gerald Harris. "Gait Deviations in Children with Osteogenesis Imperfecta Type I." Archives of Physical Medicine and Rehabilitation 98, no. 10 (2017): e71. http://dx.doi.org/10.1016/j.apmr.2017.08.222.

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25

Ogasawara, Takayuki, Yasuyuki Itoh, Kei Kuwabara, and Ryoichi Kasahara. "Gait Analysis Using a Wearable T-shirt Type Sensor." NTT Technical Review 14, no. 4 (2016): 47–53. http://dx.doi.org/10.53829/ntr201604ra1.

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26

Park, Jihyun, So Young Joo, Byung-Ok Choi, et al. "Gait Pattern in Charcot-Marie-Tooth Disease Type 1A According to Disease Severity." Journal of Personalized Medicine 13, no. 10 (2023): 1473. http://dx.doi.org/10.3390/jpm13101473.

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The aim of this study was to evaluate the characteristics of gait patterns in Charcot-Marie-Tooth disease type 1A (CMT1A) patients according to disease severity. Twenty-two CMT1A patients were enrolled and classified into two groups, according to the disease severity. The healthy control group consisted of 22 subjects with no gait impairment. Full barefoot three-dimensional gait analysis with temporospatial, kinematic, and kinetic data was performed among the mild and moderate CMT1A group and the control group. Minimal hip abduction, maximal hip extension generation, peak knee flexion moment a

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27

Mio, Kimito, Takatsugu Okamoto, Yasuhide Nakayama, Daigo Sakamoto, Kentaro Yoshida, and Masahiro Abo. "Gait analysis using a suit-type wearable device in rehabilitation therapy after stroke: A case report." Medicine 104, no. 27 (2025): e43137. https://doi.org/10.1097/md.0000000000043137.

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Rationale: In poststroke patients with hemiplegia, gait disorders often remain as a sequela. Although gait analysis commonly focuses on lower limb dysfunction, there is limited evidence addressing the contribution of upper limb movement to gait improvement after stroke. A 3D optical motion analysis is commonly used to treat gait disorders, as it allows precise assessment of gait disorders by measuring joint range of motion, stride length, and time. However, these require multiple cameras and sensors, making the setup time-consuming. In this case, we conducted gait analysis using a newly introd

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28

Tanaka, Sachiko, Katsuhiko Kubota, Osamu Yoshimura, et al. "Gait Analysis after Total Knee Arthroplasty. Comparison of Cemented Type and Cementless Type." Journal of Physical Therapy Science 12, no. 2 (2000): 101–5. http://dx.doi.org/10.1589/jpts.12.101.

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29

Lee, Sung-Sin, Sang Tae Choi, and Sang-Il Choi. "Classification of Gait Type Based on Deep Learning Using Various Sensors with Smart Insole." Sensors 19, no. 8 (2019): 1757. http://dx.doi.org/10.3390/s19081757.

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In this paper, we proposed a gait type classification method based on deep learning using a smart insole with various sensor arrays. We measured gait data using a pressure sensor array, an acceleration sensor array, and a gyro sensor array built into a smart insole. Features of gait pattern were then extracted using a deep convolution neural network (DCNN). In order to accomplish this, measurement data of continuous gait cycle were divided into unit steps. Pre-processing of data were then performed to remove noise followed by data normalization. A feature map was then extracted by constructing

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30

Figueirêdo, Bárbara Bernardo, Paulo Magalhães, Breno Azevedo, Maria Lucila Cavalcanti, Maria Emília Melo, and Cinthia Vasconcelos. "Knee and ankle disorders during functional gait in mucopolysaccharidosis type VI." Fisioterapia e Pesquisa 28, no. 1 (2021): 117–23. http://dx.doi.org/10.1590/1809-2950/21003228012021.

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ABSTRACT To evaluate knee and ankle disorders during functional gait assessment in individuals with Mucopolysaccharidosis type VI (MPS VI). 19 subjects were included in this cross-sectional study and allocated in three groups according to age: Children Group (n=11); Adolescent Group (n=4); and Adult Group (n=4). Subphases of one gait cycle were analyzed: Initial contact; Medium support, and Pre-Balance. All volunteers with MPS VI presented greater knee and ankle flexion angles, in all gait subphases, when compared to the normal values defined by literature (p<0.05). Initial contact subphase

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31

Cherni, Yosra, Simon Laurendeau, Maxime Robert, and Katia Turcot. "The Influence of Transtibial Prosthesis Type on Lower-Body Gait Adaptation: A Case Study." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 439. http://dx.doi.org/10.3390/ijerph20010439.

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Gait parameters are altered and asymmetrical in individuals with transtibial amputation. The purpose of this study was to evaluate and compare the effect of four different prosthetic feet on lower-limb biomechanics during gait. A 34-year-old man with transtibial amputation performed four gait analysis sessions with four foot–ankle prostheses (Variflex, Meridium, Echelon, and Kinterra). Kinematic and kinetic parameters and gait symmetry were analyzed in different prosthetic conditions. The type of prosthesis had little effect on the participant’s spatiotemporal parameters. Throughout the stance

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32

Seo, Jeong-Woo, and Hyeong-Sic Kim. "Biomechanical Analysis in Five Bar Linkage Prototype Machine of Gait Training and Rehabilitation by IMU Sensor and Electromyography." Sensors 21, no. 5 (2021): 1726. http://dx.doi.org/10.3390/s21051726.

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The prototype machine of gait training and rehabilitation (MGTR) with a five-bar linkage structure was designed to improve the common end-effector type. Additionally, the study was conducted to evaluate the joint angle and muscle activity during walking for the evaluation of prototype: (1) Background: The gait rehabilitation systems are largely divided into exoskeletal type and end-effector type. The end-effector type can be improved a gait trajectory similar to normal gait according to this prototype. Therefore, a new design of prototype MGTR is proposed in this study. (2) Methods: The gait e

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33

OKAMOTO, Jun, Mariko NOMURA, Yu KUMASAKA, et al. "2A1-C17 Development of a geostationary satellite type gait analysis system : System concept and gait measurement experiment." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _2A1—C17_1—_2A1—C17_2. http://dx.doi.org/10.1299/jsmermd.2008._2a1-c17_1.

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34

Alcock, Lisa, Brook Galna, Jeffrey M. Hausdorff, Sue Lord, and Lynn Rochester. "Gait & Posture Special Issue: Gait adaptations in response to obstacle type in fallers with Parkinson’s disease." Gait & Posture 61 (March 2018): 368–74. http://dx.doi.org/10.1016/j.gaitpost.2018.01.030.

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35

Kim, Seung Ki, Dong Wook Rha, and Eun Sook Park. "Botulinum Toxin Type A Injections Impact Hamstring Muscles and Gait Parameters in Children with Flexed Knee Gait." Toxins 12, no. 3 (2020): 145. http://dx.doi.org/10.3390/toxins12030145.

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The aim of this study was to determine if botulinum toxin type A (BoNT-A) injection into the medial hamstring can improve gait kinematics and muscle-tendon length in spastic cerebral palsy (CP) with a flexed knee gait (FKG). Twenty-nine children with spastic CP (Gross Motor Function Classification System I–III) with FKG were recruited for this prospective study. BoNT-A was injected into the semitendinosus and semimembranosus (SM) muscles under ultrasonography guidance. Assessments included Gross Motor Function Measure (GMFM), Modified Ashworth Scale (MAS), Modified Tardieu Scale (MTS), 3-dimen

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36

Tsitlakidis, Stefanos, Martin Schwarze, Fabian Westhauser, et al. "Gait Indices for Characterization of Patients with Unilateral Cerebral Palsy." Journal of Clinical Medicine 9, no. 12 (2020): 3888. http://dx.doi.org/10.3390/jcm9123888.

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As cerebral palsy (CP) is a complex disorder, classification of gait pathologies is difficult. It is assumed that unclassified patients show less functional impairment and less gait deviation. The aim of this study was to assess the different subgroups and the unclassified patients with unilateral CP using different gait indices. The Gillette Gait Index (GGI), Gait Deviation Index (GDI), Gait Profile Score (GPS) and spatiotemporal parameters derived from instrumented 3D-Gait Analysis (IGA) were assessed. Subgroups were defined using morphological and functional classification systems. Regardin

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37

Herings, Pieter M. R., Adam H. Dyer, Sean P. Kennelly, et al. "Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND." Sensors 22, no. 15 (2022): 5710. http://dx.doi.org/10.3390/s22155710.

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Type 2 Diabetes Mellitus (T2DM) in midlife is associated with a greater risk of dementia in later life. Both gait speed and spatiotemporal gait characteristics have been associated with later cognitive decline in community-dwelling older adults. Thus, the assessment of gait characteristics in uncomplicated midlife T2DM may be important in selecting-out those with T2DM at greatest risk of later cognitive decline. We assessed the relationship between Inertial Motion Unit (IMUs)-derived gait characteristics and cognitive function assessed via Montreal Cognitive Assessment (MoCA)/detailed neuropsy

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38

Mamedov, U. F., T. I. Dolganova, O. I. Gatamov, and D. A. Popkov. "Gait analysis characteristic features in children with spastic hemiplegia." Genij Ortopedii 30, no. 2 (2024): 234–44. http://dx.doi.org/10.18019/1028-4427-2024-30-2-234-244.

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Introduction There are not enough published studies on the impact of early isolated triceps lengthening operations in hemiparesis on the state of motor characteristics and on the development of orthopedic complications in children with GMFCS II.Purpose Analyze motor locomotion in children with spastic hemiplegia who had not previously been operated on and those who had undergone isolated surgical lengthening of the triceps at an early age.Material and methods Four groups of children with spastic hemiplegia according to Rodda et Graham types: I) type 2a gait (4 children), II) type 3 (3 children

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39

Monteiro Leitão, Roberto, Marco Orsini, Mariana Pontes do Nascimento Mateus, Renan Falconi, Antônio Marcos da Silva Catarino, and Gilberto Canedo Martins Jr. "Spinocerebellar ataxia type 7: A case report." International Journal of Case Reports and Images 15, no. 2 (2024): 53–57. http://dx.doi.org/10.5348/101470z01rl2024cr.

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Introduction: Spinocerebellar ataxia type 7 is part of a rare group of neurodegenerative diseases, characterized by lesions in the brainstem, cerebellum, spinal cord, and retina, manifesting as motor disturbances associated with signs of pyramidal involvement and amaurosis. The dysfunction is caused by autosomal dominant genetic alterations, with disease severity and the age of symptom onset being directly linked to the patient’s genetic expression. Case Report: We present the case of a 24-year-old woman, previously healthy, who denied smoking, drinking alcohol, or taking any other drugs. She

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SUZUKI, Hidekazu, Norikazu MORISAKI, Kaori WATANABE, Yasuko HAYASHIBARA, and Hitoshi NISHI. "Gait Generation and Impression Evaluation for Animal Type Quadrupedal Robot." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 24, no. 5 (2012): 1012–22. http://dx.doi.org/10.3156/jsoft.24.1012.

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41

Tanaka, Atsushi, Hideyuki Okuzumi, Iwao Kobayashi, Norio Murai, Kenichi Meguro, and Takashi Nakamura. "Gait Disturbance of Patients with Vascular and Alzheimer-Type Dementias." Perceptual and Motor Skills 80, no. 3 (1995): 735–38. http://dx.doi.org/10.2466/pms.1995.80.3.735.

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The gaits of 15 patients with senile dementia of the Alzheimer type and 15 with vascular dementia were compared with those of 15 healthy control subjects. Patients with senile dementia showed significantly slower velocity and shorter step length than the healthy controls, and those with vascular dementia exhibited a reduction on these two variables relative to patients with senile dementia of the Alzheimer type.

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42

Rahmawati, Linda, Olle Hjelmstrom, Ns Widada, and Burlian Mughnie. "GAIT ANALYSIS: THE EFFECT OF SUSPENSION TYPE IN TRANSFEMORAL PATIENT." Journal of Prosthetics Orthotics and Science Technology 1, no. 1 (2022): 1–5. http://dx.doi.org/10.36082/jpost.v1i1.630.

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Background: common problems that occur in patients with transfemoral is the lack of stability during using the prosthesis and will result in gait deviation. One of the most important components in improving the stability of the patient is the selection of the type of suspension that appropriate to the patient's needs so as to improve gait. Objective: This study aimed to determine the difference Cadance, walking speed and step length transfemoral patients when using different types of suspension Methods: The study was conducted using the method of observation. Sample research is 4 transfemoral

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43

Johnson, Barbara. "Cognitive dysfunction, gait, and motor impairment in neurofibromatosis type 1." Developmental Medicine & Child Neurology 56, no. 5 (2014): 415. http://dx.doi.org/10.1111/dmcn.12408.

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44

Lee, Sung-Sin, Seok-Ho Chang, and Sang-Il Choi. "Gait Type Classification Based on Deep Learning Using Smart Insole." Journal of Korean Institute of Communications and Information Sciences 43, no. 8 (2018): 1378–81. http://dx.doi.org/10.7840/kics.2018.43.8.1378.

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45

MAHONEY, DIANA. "Systolic BP, Gait Linked to Cognitive Deficits in Type 2." Clinical Psychiatry News 38, no. 12 (2010): 29. http://dx.doi.org/10.1016/s0270-6644(10)70502-6.

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46

Svoboda, Z., M. Janura, L. Kralova, and I. Vareka. "The influence of foot type on pressure distribution during gait." Gait & Posture 39 (June 2014): S67. http://dx.doi.org/10.1016/j.gaitpost.2014.04.092.

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47

Deng, Fang, Yeyun Cai, Xinyu Fan, Peng Gui, and Jie Chen. "Pressure-type generator for harvesting mechanical energy from human gait." Energy 171 (March 2019): 785–94. http://dx.doi.org/10.1016/j.energy.2019.01.039.

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48

KODERA, Takashi, Shinobu MAKITA, Daisuke NISHIMURA, et al. "243 Control of Trot Gait by Horse-type Quadruped Robot." Proceedings of the Symposium on the Motion and Vibration Control 2001.7 (2001): 322–24. http://dx.doi.org/10.1299/jsmemovic.2001.7.322.

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49

Rochester, Lynn, Brook Galna, Sue Lord, Dadirayi Mhiripiri, Gail Eglon, and Patrick F. Chinnery. "Gait impairment precedes clinical symptoms in spinocerebellar ataxia type 6." Movement Disorders 29, no. 2 (2013): 252–55. http://dx.doi.org/10.1002/mds.25706.

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50

Błażkiewicz, Michalina, and Anna Hadamus. "Influence of Perturbation’s Type and Location on Treadmill Gait Regularity." Applied Sciences 14, no. 2 (2024): 493. http://dx.doi.org/10.3390/app14020493.

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Background: This study aimed to investigate how —external perturbations caused by a treadmill belt’s acceleration (Acc) and deceleration (Dec) during the Initial-Contact (Initial), Mid-Stance (Mid), and Pre-Swing (ToeOff) phases affect gait regularity in young adults. Methods: Twenty-one healthy young females walked on a treadmill in a virtual environment (Motek GRAIL), in which four unexpected perturbations were applied to the left belt at the Initial, Mid, and ToeOff stages. Sample entropy (SampEn) was calculated for the center of mass (CoM) displacements for six perturbation scenarios in th

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