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Parkinson's disease tremor prediction towards real-time suppression: A self-attention deep temporal convolutional network approach

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Computers in Biology and Medicine 2025年 188卷 109814-109814页

作者： Tan, Guan Yuan Bakibillah, A.S.M. Chan, Ping Yi Tan, Chee Pin Nurzaman, Surya School of Engineering Monash University Bandar Sunway47500 Malaysia School of Information Technology Monash University Bandar Sunway47500 Malaysia Department of Systems and Control Engineering School of Engineering Institute of Science Tokyo Tokyo152-8552 Japan

Accurate prediction of Parkinson's disease tremor (PDT) is crucial for developing assistive technologies;however, this is challenging due to the nonlinear, stochastic, and nonstationary characteristics of PDT, which substantially vary among patients and their activities. Moreover, most models only have one-step prediction capabilities, which causes delays in real-time applications. This paper proposes a self-attention deep temporal convolutional network (SADTCN) model for the real-time prediction of hand-arm PDT signals from different activities and joint angular motions. The SADTCN can capture both short- and long-term dependencies and complex temporal and spatial dynamics of PDT signals and hence, can effectively adapt to varying tremor characteristics. The performance of the proposed model is evaluated using experimental hand-arm PDT data. The results show that the SADTCN outperforms existing deep learning (DL) models by accurately predicting varying tremor amplitudes and frequencies multi-step ahead. Moreover, we performed spectrum analysis on the measured and predicted signal using the short-time Fourier transform (STFT) as a measure of potential active tremor control and found that SADTCN can accurately determine the transience of tremor amplitude in frequency and time. Finally, we run the Wilcoxon signed-rank statistical test and the results show a statistically significant improvement in the proposed model over the other DL models in all conditions. Therefore, the SADTCN can overcome the nonstationary, nonlinear, and stochastic nature of PDT to perform multi-step prediction with high accuracy, robustness, and generalizability in unseen testing data. © 2025 The Authors

关键词： Prediction models

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Estimation of Body Sway Dynamics in a Soft Actuators-based Exercise Game with Squat Motions

Estimation of Body Sway Dynamics in a Soft Actuators-based E...

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IEEE/SICE International Symposium on System Integration

作者： Priyanka Ramasamy Koji Shimatani Yuichi Kurita Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Department of Physical Therapy Prefectural University of Hiroshima

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Postural stability is a significant aspect that needs to be investigated to prevent the risk of injuries and falls in all age groups. Moreover, developing reliable techniques and feedback modalities to enhance the posture control evaluation is crucial. The study investigates the effects of incorporating self-simulated gaming exercises with haptic feedback on posture control in young adults. Participants were randomly assigned to three groups: a control group (n=10) which performed conventional squatting within prescribed time intervals; an intervention group A (n=9), which engaged in virtual reality (VR)-based squatting; and an intervention group B (n=9), which performed squatting in a VR environment while wearing a soft actuator suit. The gaming interface dynamically optimizes the difficulty of squatting based on the user’s knee tremor. We evaluated several center of pressure (COP) parameters: displacement, root mean square (RMS), area, median frequency, and mean velocity in the mediolateral (ML) and anterior-posterior (AP) directions. Statistical analysis using ANOVA revealed significant effects in the ML displacement between the control group and intervention group B (p = 0.027), ML RMS between the control group and intervention group A (p = 0.001), and between the control group and intervention group B (p = 0.001). Additionally, significant differences were observed in the circumference area between the control group and intervention group A (p = 0.035) and between the control group and intervention group B (p = 0.001). The findings indicate that the developed prototype, which provides visual and haptic guidance, shows promise as a tool for improving postural control.

关键词： Visualization Prototypes Games Virtual reality System integration Soft robotics Stability analysis Haptic interfaces Reliability Root mean square

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Self-Consistent Field Theory for Semiflexible Gaussian Chain Model

arXiv

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arXiv 2025年

作者： Oya, Yutaka Kawakatsu, Toshihiro Department of Material Science and Technology Graduate School of Advanced Engineering Tokyo University of Science Tokyo125-8585 Japan Department of Physics Graduate School of Science Tohoku University Sendai980-8578 Japan

Self-consistent field theory (SCFT) is one of the useful methods to simulate phase separated structures of multi-component polymer systems. In this article, we propose an SCFT for semiflexible polymer melts, where the basic equations for the SCFT are derived by introducing a bending stiffness into a flexible Gaussian bead-spring model and taking its continuous limit. Our SCFT is described by a coupled modified diffusion equations for the statistical weight of the chain conformation (path integral), which is a perturbation to semiflexible chains from the flexible Gaussian chain model. Using our modified diffusion equations, we investigated the influences of the bending stiffness on the conformations of symmetric semiflexible diblock copolymer in a strongly segregated lamellar structures and on the order-disorder transition. © 2025, CC BY.

关键词： Conformations

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Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning

Identifying Inflammatory Bowel Disease-Associated Gene Ontol...

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18th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

作者： Ersoz, Nur Sebnem Bakir-Gungor, Burcu Yousef, Malik Department of Bioengineering Graduate School of Engineering and Science Abdullah Gul University Kayseri Turkey Department of Computer Engineering Faculty of Engineering Abdullah Gul University Kayseri38080 Turkey Department of Bioengineering Faculty of Life and Natural Sciences Abdullah Gul University Kayseri Turkey Department of Information Systems Zefat Academic College Zefat Israel Zefat Academic College Zefat Israel

Inflammatory bowel disease (IBD) is a chronic inflammatory disease. Complex pathogenesis behind disease formation and progression necessitated the development of new approaches to identify disease related genes and affected gene ontology (GO) terms. In this study, via exploiting GeNetOntology method, we have reanalysed a gene expression data including Crohn’s Disease (CD) and Ulcerative colitis (UC) patients and controls. In order to identify IBD related genes and affected GO terms, GeNetOntology uses GO hierarchy as the biological domain knowledge while performing gene expression data analysis based on machine learning (ML). In the training part of GeNetOntology, genes annotated with selected ontology terms have been utilized to perform a two-class classification task which generates an important set of ontologies as an output. IBD data samples were obtained from peripheral blood and colon tissue. In order to investigate the effect of different collection sites, IBD data have been analysed under different scenarios;i.e., all samples, only tissue samples and only blood samples. Experimental findings indicate that GeNetOntology can successfully determine significant disease-related ontology terms. Performance of the model slightly differs according to the sample source. Via analysing the differences/commonalities between affected gene ontologies under different scenarios, we attempt to enlighten IBD development mechanisms. © 2025 by SCITEPRESS– science and Technology Publications, Lda.

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Tendon-Like Tissue Regeneration Via an Electrospun Nanofiber Scaffold and Cyclic Stretch Stimulation

SSRN

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SSRN 2025年

作者： Morita, Yasuyuki Omata, Seiji Matsubara, Fuga Kimura, Yasuhiro Toku, Yuhki Ju, Yang Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Graduate Department of Micro-Nano Mechanical Science and Engineering Graduate School of Engineering Nagoya University Nagoya Japan Department of Mechanical Engineering Faculty of Engineering Kyushu University Fukuoka Japan State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China Kumamoto University Kumamoto Japan

Tendons are important biological tissues that support skeletal muscule activity and lack the ability to heal because of the low number of cells in the ***, regenerative medical techniques have been used to treat tendon tissues in recent *** hypothesized that the unidirectional orientation of the extracellular matrix in tendon tissues, such as collagen, is an important factor in terms of physical and cellular *** addition, because the tendon tissue repeatedly expands during exercise, it is necessary to add a similar mechanical stimulus to the regenerated tendon *** such an environment, it is necessary to appropriately induce undifferentiated mesenchymal stem cells to differentiate into tendon cells to generate the physical structure of the tendon ***, we aimed to clarify the relationship between the induction of tendon cell differentiation and changes in tissue structure in response to mechanical stimuli during tendon tissue *** study used electrospinning to stack nanofibers on silicone rubber substrates, which are incubator materials for the effecient and reproducible fabrication of nanofibers. The layered nanofiber film was capable of building up sufficient thickness and succeeded in building up a thickness of 100 $\mu$*** effects of the elasticity and hardness of the incubator material seemed to be sufficiently small because the laminate was several times thicker than the cells, which had an adherent and spreading *** fiber diameter of the stacked nanofibers is 0.2-1 $\mu$m, which is sufficiently smaller than the size of cells, so the cell adhesion group formed when cells adhere is then small and can easily be strongly induced in the fiber *** results showed that when scleraxis-programmed tendon progenitors in human mesenchymal stem cell (hMSC-SCX) were seeded in a culture vessel with a nanofiber layer, cell proliferation was promoted and there was no decrease in gene expression spe

关键词： Stem cells

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Closer through commonality: Enhancing hypergraph contrastive learning with shared groups

arXiv

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arXiv 2025年

作者： Roh, Daeyoung Han, Donghee Kim, Daehee Han, Keejun Yi, Mun Graduate School of Data Science KAIST Korea Republic of School of Computer Engineering Hansung University Korea Republic of Department of Industrial and Systems Engineering KAIST Korea Republic of

Hypergraphs provide a superior modeling framework for representing complex multidimensional relationships in the context of real-world interactions that often occur in groups, overcoming the limitations of traditional homogeneous graphs. However, there have been few studies on hypergraph-based contrastive learning, and existing graph-based contrastive learning methods have not been able to fully exploit the high-order correlation information in hypergraphs. Here, we propose a Hypergraph Fine-grained contrastive learning (HyFi) method designed to exploit the complex high-dimensional information inherent in hypergraphs. While avoiding traditional graph augmentation methods that corrupt the hypergraph topology, the proposed method provides a simple and efficient learning augmentation function by adding noise to node features. Furthermore, we expands beyond the traditional dichotomous relationship between positive and negative samples in contrastive learning by introducing a new relationship of weak positives. It demonstrates the importance of fine-graining positive samples in contrastive learning. Therefore, HyFi is able to produce high-quality embeddings, and outperforms both supervised and unsupervised baselines in average rank on node classification across 10 datasets. Our approach effectively exploits high-dimensional hypergraph information, shows significant improvement over existing graph-based contrastive learning methods, and is efficient in terms of training speed and GPU memory cost. The source code is available at https://***/Noverse0/***. © 2025, CC BY.

关键词： Contrastive Learning

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A Cholesky decomposition-based asset selection heuristic for sparse tangent portfolio optimization

arXiv

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arXiv 2025年

作者： Bae, Hyunglip Jeon, Haeun Park, Minsu Lee, Yongjae Kim, Woo Chang Department of Industrial and Systems Engineering KAIST Korea Republic of Graduate School of Data Science KAIST Korea Republic of Department of Industrial Engineering UNIST Korea Republic of Artificial Intelligence Graduate School UNIST Korea Republic of

In practice, including large number of assets in mean-variance portfolios can lead to higher transaction costs and management fees. To address this, one common approach is to select a smaller subset of assets from the larger pool, constructing more efficient portfolios. As a solution, we propose a new asset selection heuristic which generates a pre-defined list of asset candidates using a surrogate formulation and re-optimizes the cardinality-constrained tangent portfolio with these selected assets. This method enables faster optimization and effectively constructs portfolios with fewer assets, as demonstrated by numerical analyses on historical stock returns. Finally, we discuss a quantitative metric that can provide a initial assessment of the performance of the proposed heuristic based on asset covariance. © 2025, CC BY.

关键词： Constrained optimization

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Adaptive Absolute-Relative Rating for Noise Rejection in Behavioral Cloning based on Tsallis Statistics

Adaptive Absolute-Relative Rating for Noise Rejection in Beh...

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IEEE/SICE International Symposium on System Integration

作者： Taisuke Kobayashi Tadayoshi Aoyama National Institute of Informatics (NII) Graduate University for Advanced Studies (SOKENDAI) Tokyo Japan Department of Micro-Nano Mechanical Science and Engineering Graduate School of Engineering Nagoya University Nagoya Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

In robot control from demonstrations, a sufficient dataset cannot be collected for many of the tasks that require experts with qualifications to special skills. Unfortunately, insufficient expert dataset would manifest various types of noise hidden in it. Since adding data is difficult as well, offline imitation learning needs to be robust to such a noise. In the conventional work, a behavioral cloning method based on Tsallis statistics has been developed. However, it weights each data with absolute rating with a fixed threshold, which would fail to imitate coarse/diverse motions. Therefore, this paper improves the conventional method by adding the function of relative rating for each data, which should enable robots to imitate non-noisy data even from coarse/diverse motions. This function can be obtained from a different derivation way of the optimization problem with Tsallis statistics. By integrating it with the conventional derivation way, the proposed method can adjust between the absolute and relative ratings. Finally, for more convenience, we design optimization tricks for the hyperparameters to maximize the variance of weights with avoiding extremely large weights. In numerical simulations and real-robot experiments, we demonstrate the robustness of the proposed method.

关键词： Sensitivity Imitation learning Noise Robot control Cloning System integration Numerical simulation Robustness Optimization Qualifications

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High-Precision Thin-Film Bending Sensor with Fully Sliding Packaging Structure for Robotic Surgical Endoscope

High-Precision Thin-Film Bending Sensor with Fully Sliding P...

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International Conference on Electronics Packaging (ICEP)

作者： Hao Liu Michitaka Yamamoto Toshihiro Itoh Seiichi Takamatsu Department of Precision Engineering Graduate School of Engineering The University of Tokyo Tokyo Japan School of Systems Science and Industrial Engineering Thomas J. Watson College of Engineering and Applied Science State University of New York at Binghamton New York USA

ISBN: (数字)9784991191190

ISBN: (纸本)9798331514747

Accurate real-time tracking of the posture of catheters and endoscopes is essential for maintaining surgical precision and ensuring patient safety during minimally invasive and interventional procedures. In order to overcome the challenges of high sensitivity, durability, and practicality under extreme bending conditions, we developed a high-precision bending sensor using 5 µm ultra-thin silicon integrated onto a tough polyimide substrate. The sensor is packaged in a dual-layer, silicone oil-filled package, offering excellent flexibility, environmental resilience, and good linearity. It can accurately detect curvature and diameter changes in endoscopes, even under extreme bending and fluctuating conditions. With reliable performance in high-humidity, fluid-exposed environments, this sensor provides an effective and practical solution for real-time posture monitoring in surgical applications, enhancing both safety and precision.

关键词： Endoscopes Linearity Bending Robot sensing systems Silicon Real-time systems Safety Monitoring Substrates Testing

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Artificial Finger Consisting of Closed Linkages and a Single Planetary Gear System: control of a Reaction Force Vector Yielded at a Fingertip

Artificial Finger Consisting of Closed Linkages and a Single...

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IEEE/SICE International Symposium on System Integration

作者： Y. Eto K. Koganezawa Y. Kai Graduate School of Science and Technology Tokai University Hiratsuka Japan Tokai University Department of Mechanical Systems Engineering Tokai University

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

The authors have developed a five-finger robot hand with artificial fingers consisting of closed linkages and a Single Planetary Gear System. Recently, we developed a new finger mechanism equipping a hyperextension joint at the fingertip that acts passively by two torsion springs. This paper aims to investigate how the hyperextension joint allows to control the reaction force vector that the fingertip applies to an external object in kinematic & kinetic theoretical point of view.

关键词： Couplings Gears Simulation Force System integration Motors Vectors Springs Sun Robots

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