Article
Chemistry, Analytical
Sofia Scataglini, Stijn Verwulgen, Eddy Roosens, Robby Haelterman, Damien Van Tiggelen
Summary: This study compared spatiotemporal gait parameters in 19 subjects using two different systems, finding differences in SPT between them with OptoGait showing a smaller error. Accurate detection of heel strike and toe-off was found to significantly impact the entire data acquisition.
Article
Chemistry, Analytical
Roua Walha, Karina Lebel, Nathaly Gaudreault, Pierre Dagenais, Andrea Cereatti, Ugo Della Croce, Patrick Boissy
Summary: This study assessed the accuracy and precision of a system combining IMU-instrumented socks and a validated algorithm for estimating gait spatio-temporal parameters. The results showed good agreement between the IMU-instrumented sock and motion capture system in estimating gait parameters during treadmill walking, with the sock performing better in estimating gait speed and stride length. The IMU-instrumented sock showed good to excellent precision for overground walking and fast treadmill walking, but moderate-to-good precision for slow and normal treadmill walking.
Article
Engineering, Civil
Cuiliu Yang, Zhao Pei
Summary: Pedestrian trajectory prediction in crowd scenes is important for intelligent transportation systems, but it faces challenges in learning motion patterns and addressing future uncertainty. Existing models based on RNNs or CNNs achieve high performance on short-term prediction but have limited scalability for long sequences. Our proposed LSSTA network combines a spatial encoder to capture spatial interactions, a transformer network to handle long-term temporal dependencies, and a TCN to aggregate features, offering superior performance compared to existing approaches.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Biotechnology & Applied Microbiology
Mingi Jung, Seungbum Koo
Summary: This study analyzes the gait differences caused by the physical factors of treadmill walking. The results show that the lower-limb joint kinematics are the same under ideal treadmill conditions, regardless of body mass and walking speed. However, kinematic differences are observed under non-ideal treadmill conditions.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Chemistry, Analytical
Andrew C. C. Hagen, Jordan S. S. Acosta, Chaia S. S. Geltser, Brett W. W. Fling
Summary: Multiple sclerosis (MS) is a neurodegenerative disease that causes degradation of the myelin sheath and impaired neural communication. Split-belt treadmill training can improve gait symmetry in MS patients, with those most asymmetrical at baseline showing the greatest improvement. Step length asymmetry (SLA) and phase coordination index (PCI) were used as primary outcome measures to assess spatial and temporal gait symmetries. The study found that MS patients retain the ability for gait adaptation and that spatial and temporal locomotor adjustments may involve separate neural mechanisms.
Article
Multidisciplinary Sciences
Ryan J. Downey, Natalie Richer, Rohan Gupta, Chang Liu, Erika M. Pliner, Arkaprava Roy, Jungyun Hwang, David J. Clark, Chris J. Hass, Todd M. Manini, Rachael D. Seidler, Daniel P. Ferris
Summary: This study investigated the effects of altering terrain unevenness on gait kinematics, and found that increasing terrain unevenness led to greater stride-to-stride variability and reduced perceived stability in participants.
Article
Engineering, Civil
Cyril Furtlehner, Jean-Marc Lasgouttes, Alessandro Attanasi, Marco Pezzulla, Guido Gentile
Summary: The probabilistic forecasting method described in this study is designed to leverage the spatial and temporal dependency of urban traffic networks, to provide accurate short-term predictions and meaningful forecasts up to several hours in advance. The method can handle missing data, predict the entire network's state in one pass, and has an execution time that scales linearly with the network size. By carefully analyzing the model, it is possible to distinguish modeling bias from the intrinsic noise of traffic phenomena and its measurement process.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Yifan Chen, Xuelong Li
Summary: Gait recognition is a popular technology for identification due to its ability to capture gait features over long distances without cooperation. However, current methods face challenges as they use a single network to extract both temporal and spatial features. To solve this problem, we propose a two-branch network that focuses on spatial and temporal feature extraction separately. By combining these features, we can effectively learn the spatio-temporal information of gait sequences.
PATTERN RECOGNITION
(2024)
Article
Rehabilitation
Anke Van Bladel, Roel De Ridder, Tanneke Palmans, Ruth Van der Looven, Dirk Cambier
Summary: This study examined the use of a self-paced treadmill as an alternative for overground gait analysis in persons after stroke. The results showed that although the velocity on the treadmill was slower, there were significant changes in other spatiotemporal parameters. Therefore, the use of a self-paced treadmill should be considered when performing gait analysis in persons after stroke.
DISABILITY AND REHABILITATION
(2023)
Article
Veterinary Sciences
Anna Bystrom, Hilary M. Clayton, Elin Hernlund, Lars Roepstorff, Marie Rhodin, Filipe S. Braganca, Maria T. Engell, Rene van Weeren, Michael A. Weishaupt, Agneta Egenvall
Summary: The study found that high-level dressage horses exhibited slightly more asymmetric movement when ridden in a dressage frame compared to the unridden condition. There were significant associations between asymmetries at walk and trot, with some variables showing positive slopes.
EQUINE VETERINARY JOURNAL
(2021)
Article
Neurosciences
Klaudia Kozlowska, Miroslaw Latka, Bruce J. West
Summary: The study investigated the effects of random changes in treadmill belt speed on the trend properties and scaling exponents of stride time and length. The results showed modifications in trend duration, Cauchy distribution scale parameter, and ST/SL scaling indices due to perturbations in belt speed, leading to weak persistence/antipersistence of ST/SL time series. The presence of strongly anti-persistent fluctuations about gentle, persistent trends at normal and moderate treadmill speeds highlights the complex dynamics of treadmill gait.
Article
Chemistry, Multidisciplinary
Daekyoo Kim, Phillip C. Desrochers, Cara L. Lewis, Simone V. Gill
Summary: The study found that there are differences in the transfer of split-belt treadmill adaptation to over-ground walking between adults with obesity and normal weight, with obese individuals exhibiting greater asymmetry in double-limb support time and lower transfer effects compared to normal weight individuals. This suggests potential challenges in rehabilitating atypical gait patterns in obese individuals through gait training.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Daisey Vega, Helen J. Huang, Christopher J. Arellano
Summary: A rope-pulley system can reduce metabolic cost during walking in healthy individuals, but it may affect walking balance, which is important to consider in gait rehabilitation.
Article
Thermodynamics
Shuo Shan, Zhetong Ding, Kanjian Zhang, Haikun Wei, Chenxi Li, Qibin Zhao
Summary: With the development of renewable energy, the installed capacity of photovoltaic power plants is expanding. This study proposes an Attention Graph Convolution Long short term memory neural network with Tensor Regression (AGCL-TR) to improve the prediction of spatio-temporal short-term solar irradiance for distributed PV systems. The proposed method outperforms existing prediction methods, achieving an improvement of 11.9%-19.8% in RMSE on an open access dataset.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Neurosciences
Gerda Strutzenberger, Lara Leutgeb, Lisa Claussen, Hermann Schwameder
Summary: This study found that walking on a treadmill results in shorter step length and shorter contact time, with increased step frequency compared to walking on a ramp, regardless of slope gradient. Uphill walking on the treadmill increased hip and knee flexion angles, while downhill walking showed a significant decrease in dorsiflexion.
Review
Health Care Sciences & Services
Dariusz Latka, Klaudia Kozlowska, Grzegorz Miekisiak, Kajetan Latka, Jacek Chowaniec, Tomasz Olbrycht, Miroslaw Latka
THERAPEUTICS AND CLINICAL RISK MANAGEMENT
(2019)
Article
Clinical Neurology
Dariusz Latka, Grzegorz Miekisiak, Klaudia Kozlowska, Tomasz Olbrycht, Jacek Chowaniec, Kajetan Latka, Marcin Niedzwiecki, Ruth Ruscheweyh, Pawel Jarmuzek
JOURNAL OF PAIN RESEARCH
(2019)
Article
Biochemical Research Methods
Klaudia Kozlowska, Miroslaw Latka, Bruce J. West
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Neurosciences
Klaudia Kozlowska, Miroslaw Latka, Bruce J. West
Summary: The study investigated the effects of random changes in treadmill belt speed on the trend properties and scaling exponents of stride time and length. The results showed modifications in trend duration, Cauchy distribution scale parameter, and ST/SL scaling indices due to perturbations in belt speed, leading to weak persistence/antipersistence of ST/SL time series. The presence of strongly anti-persistent fluctuations about gentle, persistent trends at normal and moderate treadmill speeds highlights the complex dynamics of treadmill gait.
Article
Neurosciences
Kajetan Latka, Klaudia Kozlowska, Marek Waligora, Waldemar Kolodziej, Tomasz Olbrycht, Jacek Chowaniec, Stanislaw Hendryk, Miroslaw Latka, Dariusz Latka
Summary: Ethanol gel therapy shows promising outcomes in patients with degenerative disc disease, providing effective relief for chronic lumbar discogenic and radicular leg pain. After one year of treatment, patients experienced significant improvements in pain and symptoms, with a high percentage no longer requiring analgesics.
Review
Psychiatry
Katarzyna Anna Romanowicz, Klaudia Kozlowska, Adam Wichniak
POSTEPY PSYCHIATRII I NEUROLOGII
(2019)
Proceedings Paper
Engineering, Biomedical
Dariusz Latka, Marek Waligora, Kajetan Latka, Grzegorz Miekisiak, Michal Adamski, Klaudia Kozlowska, Miroslaw Latka, Katarzyna Fojcik, Dariusz Man, Ryszard Olchawa
BIOMEDICAL ENGINEERING AND NEUROSCIENCE
(2018)