Article
Biophysics
Rishi S. Gupta, Daniel Berrellez, Neha Chhugani, Carlos Luna Lopez, Amir Maldonado, Sameer B. Shah
Summary: This study showed that paclitaxel treatment significantly increased the tensile viscoelastic properties of nerves at the tissue level in experimentally treated mice, indicating heterogeneous effects on nerve biomechanical properties.
JOURNAL OF BIOMECHANICS
(2021)
Article
Multidisciplinary Sciences
Chiara Guidolin, Jonatan Mac Intyre, Emmanuelle Rio, Antti Puisto, Anniina Salonen
Summary: Foams are unstable jammed materials whose evolution over time is crucial for applications. Despite the importance of foams made from viscoelastic fluids, the coarsening mechanism is not well understood. In this study, we investigated the impact of continuous phase viscoelasticity on foam coarsening using foamed emulsions and found that bubble size evolution is slowed down and foam structure is greatly affected. The absence of continuous phase redistribution and the complex link between foam structure and mechanical properties contribute to spatially heterogeneous coarsening. These findings not only have implications for designing foamy materials, but also provide a macroscopic understanding of phase separation in viscoelastic mediums.
NATURE COMMUNICATIONS
(2023)
Article
Health Care Sciences & Services
Yusuke Saigusa, Shinto Eguchi, Osamu Komori
Summary: The generalized linear mixed model (GLMM) is a common method for analyzing longitudinal and clustered data in biological sciences. However, issues of model complexity and misspecification can arise. This paper extends the standard GLMM to a nonlinear mixed-effects model based on quasi-linear modeling, providing an estimation algorithm and a conditional AIC for the proposed model. Performance under model misspecification is evaluated in simulation studies, and the proposed model is shown to capture heterogeneity in respiratory illness data.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2022)
Article
Mechanics
Harold Berjamin, Michel Destrade, William J. Parnell
Summary: Originating from biomechanics, Fung's model of quasi-linear viscoelasticity (QLV) is a popular constitutive theory used to compute the time-dependent relationship between stress and deformation in soft solids. This study discusses the thermodynamic consistency of the QLV model incorporating a single scalar relaxation function, highlighting similarities with other internal variable models. The dissipative features of compressible QLV materials are illustrated in simple tension.
MECHANICS RESEARCH COMMUNICATIONS
(2021)
Article
Urology & Nephrology
Jianli Wang, Jiawei Chen, Xincheng Gao, Bing Li
Summary: This study aims to evaluate the viscoelastic properties of fresh porcine ureter and demonstrates the applicability of the QLV theory in describing its stress relaxation function. The eight constants of ureteral tissue are determined through data fitting with the model.
INTERNATIONAL UROLOGY AND NEPHROLOGY
(2022)
Article
Materials Science, Multidisciplinary
A. R. Dusane, P. Lenarda, M. Paggi
Summary: This study experimentally characterizes and computationally models the viscoelastic response of commercially available backsheet materials, proposing small-strain viscoelastic models based on Prony-series and Fractional Calculus. The models are validated with experimental data and show good predictability, aiding in the design and simulation of a more comprehensive digital-twin model of PV modules.
MECHANICS OF MATERIALS
(2023)
Article
Engineering, Biomedical
Sowmya N. Sundaresh, John D. Finan, Benjamin S. Elkin, Andrew Basilio, Guy M. McKhann, Barclay Morrison
Summary: This study characterizes the mechanical properties of human brain tissue and suggests that the linear viscoelastic approach is more suitable for modeling the tissue. Regional differences in stiffness were observed, but age and sex did not have a significant impact. The findings can enhance the accuracy of predicting brain tissue deformation.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Biophysics
Hamed Helisaz, Mattia Bacca, Mu Chiao
Summary: This study introduces a novel method based on QLV theory to describe time-dependent behavior of soft materials, characterizing elastic and viscous properties separately for accurate material characterization. The model shows potential for diagnosis in prostate cancer but requires further clinical studies.
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Biomedical
Othniel J. Aryeetey, Martin Frank, Andrea Lorenz, Sarah-Jane Estermann, Andreas G. Reisinger, Dieter H. Pahr
Summary: This study proposes a reduced-parameter AQLV model for accurately characterising the properties of soft biological tissues at finite strain ranges. By reducing the number of model layers and experimental steps, the number of model parameters can be significantly reduced, resulting in a decrease in experimental time.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Anoush Sepehri, Hamed Helisaz, Mu Chiao
Summary: The mechanical properties of tissues play a significant role in the progression of different types of cancers. Therefore, it is crucial to have a reliable and robust method for characterizing the properties of soft materials, which might aid in early cancer diagnosis. This study introduces a tactile sensor utilizing fiber Bragg grating technology to assess the elastic and viscous properties of soft materials during tissue palpation. The results demonstrate that the sensor, along with the proposed quasi-linear viscoelastic model, can effectively determine the elastic and viscous properties, making it a potential tool for distinguishing between cancerous and healthy tissue in the future.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Materials Science, Multidisciplinary
H. Helisaz, M. Bacca, M. Chiao
Summary: This study investigates the effects of different factors on the indentation behavior of viscoelastic materials and proposes a material characterization method based on indentation tests. The method provides a fast and straightforward approach to calculate material parameters, with high precision and good accuracy.
EXPERIMENTAL MECHANICS
(2022)
Article
Engineering, Biomedical
Peng Su, Chao Yue, Likun Cui, Qinjian Zhang, Baoguo Liu, Tian Liu
Summary: The purpose of this study is to obtain the digital twin parameters of the thyroid gland and to build a constitutional model of the thyroid gland based on continuum mechanics. The establishment of a surgical training system for the thyroid surgery robot and the development of the digital twin of the thyroid gland can benefit from this research.
JOURNAL OF FUNCTIONAL BIOMATERIALS
(2022)
Article
Multidisciplinary Sciences
Guillaume Fle, Elijah Van Houten, Gaudeline Remillard-Labrosse, Greg FitzHarris, Guy Cloutier
Summary: In recent years, researchers have explored cellular biomechanical properties as a new method of oocyte selection in reproductive science. The reconstruction of viscoelastic parameter images in such materials remains a challenge. This study proposes a framework for mapping viscoelasticity at the subcellular scale and successfully applies it to live mouse oocytes.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Biochemical Research Methods
Tianzheng Guo, Xiaoyu Zou, Shalini Sundar, Xinqiao Jia, Charles Dhong
Summary: Recent advances have introduced a microfluidic platform that utilizes graphene and palladium nanoislands to measure the viscoelastic properties of cellular monolayers. This platform provides higher resolution compared to other methods and can accurately measure changes in viscoelasticity over both short and long durations.
Article
Biochemical Research Methods
Tianzheng Guo, Xiaoyu Zou, Shalini Sundar, Xinqiao Jia, Charles Dhong
Summary: This article introduces a microfluidic platform that utilizes strain sensors made from graphene decorated with palladium nanoislands to measure the viscoelasticity of cellular monolayers in situ. The platform provides higher resolution compared to other platforms and is able to resolve changes in viscoelastic properties of cellular events, enabling the translation of new mechanical biomarkers.
Article
Medicine, Research & Experimental
Han-Wei Huang, Jing-Jane Tsai, Pei-Fang Su, Yu-Lin Mau, Yi-Jen Wu, Wen-Chi Wang, Chou-Ching K. Lin
Article
Oncology
Chou-Ching K. Lin, Chih-Hsuan Yang, Ming-Shaung Ju
CANCER CHEMOTHERAPY AND PHARMACOLOGY
(2020)
Article
Engineering, Biomedical
Jiun-Yi Chiou, Tamer Abd-Elrehim, Chou-Ching Lin, Gin-Shin Chen
JOURNAL OF NEURAL ENGINEERING
(2020)
Article
Biochemistry & Molecular Biology
Chung-Yao Chien, Szu-Wei Hsu, Tsung-Lin Lee, Pi-Shan Sung, Chou-Ching Lin
Summary: This study demonstrates that using an artificial neural network to process dopamine transporter single-photon emission computed tomography images shows higher predictive accuracy, sensitivity, and specificity in differentiating Parkinson's disease from parkinsonism caused by other disorders compared to using a support vector machine.
Article
Engineering, Biomedical
Shuenn-Yuh Lee, Yi-Wen Hung, Yao-Tse Chang, Chou-Ching Lin, Gia-Shing Shieh
Summary: Epilepsy is a common clinical disease that can be life-threatening if not detected and treated promptly. Observing EEG signals is crucial for correct epilepsy diagnosis. Using a convolutional neural network for detecting and classifying epilepsy can achieve high accuracy results.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2021)
Article
Oncology
Pi-Shan Sung, Pei-Wen Chen, Chia-Jui Yen, Meng-Ru Shen, Chih-Hung Chen, Kuen-Jer Tsai, Chou-Ching K. Lin
Summary: The study revealed that memantine could potentially treat paclitaxel-induced chemotherapy-induced cognitive impairment (CICI) by enhancing neurogenesis and modulating inflammation. Different treatment strategies may lead to variations in the treatment efficacy.
Article
Mechanics
A. A. Yakovenko, Y-X Lai, I. G. Goryacheva, M-S Ju, M. Z. Dosaev, Y. D. Selyutskiy
Summary: This study focuses on experimental investigation of the interaction between a biopsy needle and a brain phantom model made of agar gel. An analytical mathematical model describing the force of interaction under different conditions was proposed and validated through experiments, showing good agreement with the data. The general model can be applied not only in biomechanics but also in other fields.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
(2021)
Article
Computer Science, Artificial Intelligence
Chih-Hsu Huang, Chou-Ching K. Lin
Summary: The density-based neural mass model (dNMM) is a novel approach to model the dynamics of adaptive exponential integrate-and-fire neurons, capturing essential neuronal features such as voltage-dependent conductance-based synaptic interactions and adaptation of firing rate responses. It accurately estimates firing rate responses of neuronal populations to different inputs and describes the impact of spike-frequency adaptation on the generation of asynchronous irregular activity in excitatory-inhibitory cortical networks. The dNMM is a promising candidate for building large-scale network models involving multiple brain areas due to its biological realism and computational efficiency.
Article
Engineering, Biomedical
Van-Truong Nguyen, Yi-Hsuan Lu, Chun-Wei Wu, Pi-Shan Sung, Chou-Ching Lin, Pei-Yi Lin, Shun-Min Wang, Fu-Yu Chen, Jia-Jin Jason Chen
Summary: This study evaluated interhemispheric synchronization and cortical activities in acute stroke patients using non-invasive NIRS technology. The results suggest that NIRS could be used as a tool for early stroke assessment and evaluation of the efficacy of post-stroke rehabilitation.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Hsiang-Wei Hu, Chih-Hao Liu, Yi-Chun Du, Kuan-Yu Chen, Hsuan-Ming Lin, Chou-Ching Lin
Summary: This study implemented a real-time multi-bed monitoring system to detect and quantify venous needle dislodgement in hemodialysis patients by combining a leakage-detection device and IoMT technology. The results showed that the system had high accuracy and sensitivity, reducing the workload of medical staff and improving patient safety.
Article
Biochemistry & Molecular Biology
Chih-Hsu Huang, Peng-Hsiang Wang, Ming-Shaung Ju, Chou-Ching K. Lin
Summary: In this study, a parameter ratio derived from CSCKF was formulated to quantify the excitability of the neural network and compared with three commonly used indicators. The results showed that CSCKF had the potential to accurately reflect the neural network excitability and quantify the severity of epileptiform discharges in EEG with a preserved DC component.
Article
Biochemistry & Molecular Biology
Chun-Wei Wu, Jia-Jin Chen, Chou-Ching K. Lin, Chien-An Chen, Chun-Ie Wu, Ing-Shiou Hwang, Tsung-Hsun Hsieh, Bor-Shing Lin, Chih-Wei Peng
Summary: This study investigated the changes in brain tissue optical properties using frequency-domain near-infrared spectroscopy (FD-NIRS) and established the relationship between cerebral hemodynamics and infarct variation in a middle cerebral artery occlusion (MCAO) model. The results suggest that FD-NIRS parameters may be associated with the severity of the infarction and subsequent pathologies in MCAO.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Public, Environmental & Occupational Health
Chung-Yao Chien, Jung-Der Wang, Chou-Ching Lin
Summary: The applicability of nerve excitability tests (NETs) in evaluating lead intoxication was investigated in this study. The results showed that NETs had a better correlation with blood lead level compared to conventional electrophysiological parameters, indicating the potential of NETs for early detection of lead neuropathy.
JOURNAL OF OCCUPATIONAL MEDICINE AND TOXICOLOGY
(2023)
Article
Computer Science, Information Systems
Wei-En Lee, Chieh Tsou, Zhan-Xian Liao, Po-Yen Lu, Tsung-Hsien Lin, Shuenn-Yuh Lee, Chou-Ching K. Lin, Gia-Shing Shieh
Summary: The presented system is a two-channel real-time intelligent electroencephalography (EEG) measurement system for seizure detection and suppression, with software control through a wireless interface.
Article
Computer Science, Information Systems
Ju-Yi Chen, Chou-Ching K. Lin, Che-Wei Lin, Fan-Ming Yu, Kuan-Jung Li, Liang-Miin Tsai
Article
Biophysics
Nathan D. Camarillo, Rafael Jimenez-Silva, Frances T. Sheehan
Summary: This article discusses the statistical dependence between multiple measurements from the same participant and provides recommendations for using these measurements when they are not independent.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
J. Huet, A. -S. Boureau, A. Sarcher, C. Cornu, A. Nordez
Summary: Standard compression in freehand 3D ultrasound induces a bias in volume calculations, but minimal compression and gel pad methods have similar results. With a trained examiner and precautions, the bias can be minimized and become acceptable in clinical applications.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
C. Lariviere, A. H. Eskandari, H. Mecheri, F. Ghezelbash, D. Gagnon, A. Shirazi-Adl
Summary: Recent developments in musculoskeletal modeling have focused on model customization. Personalization of the spine profile may affect estimates of spinal loading and stability. This study investigates the biomechanical consequences of changes in the spinal profile and finds that personalizing the spine profile has medium to large effects on trunk muscle forces and negligible to small effects on spinal loading and stability.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Luke T. Mattar, Arash B. Mahboobin, Adam J. Popchak, William J. Anderst, Volker Musahl, James J. Irrgang, Richard E. Debski
Summary: Exercise therapy fails in about 25.0% of cases for individuals with rotator cuff tears, and one reason for this failure may be the inability to strengthen and balance the muscle forces that keep the humeral head in the correct position. This study developed computational musculoskeletal models to compare the net muscle force before and after exercise therapy between successfully and unsuccessfully treated patients. The study found that unsuccessfully treated patients had less inferiorly oriented net muscle forces, which may increase the risk of impingement.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Natsuki Sado, Takeshi Edagawa, Toshihide Fujimori, Shogo Hashimoto, Yoshikazu Okamoto, Takahito Nakajima
Summary: The existing methods for predicting hip and lumbosacral joint centres in Japanese adults are biased and differ between sexes. We propose new regression equations that consider soft-tissue thickness, sex differences, and a height-directional measure, and validate them using leave-one-out cross-validation.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Peimin Yu, Xuanzhen Cen, Qichang Mei, Alan Wang, Yaodong Gu, Justin Fernandez
Summary: This study aimed to explore the intra-foot biomechanical differences among individuals with chronic ankle instability (CAI), copers, and healthy individuals during dynamic tasks. The study found that copers and CAI individuals had smaller dorsiflexion angles and copers presented a more eversion position compared to healthy participants. Copers also had greater dorsiflexion angles in the metatarsophalangeal joint and more inversion moments in the subtalar joint during certain tasks. These findings can help in designing interventions to restore ankle joint functions in CAI individuals.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Jon Skovgaard Jensen, Anders Holsgaard-Larsen, Anders Stengaard Sorensen, Per Aagaard, Jens Bojsen-Moller
Summary: This study investigates the biomechanical effects of robot-assisted body weight unloading (BWU) on gait patterns in healthy young adults. The results show that dynamic robot-assisted BWU enables reduced kinetic requirements without distorting biomechanically normal gait patterns during overground walking.
JOURNAL OF BIOMECHANICS
(2024)
