Medicine in Novel Technology and Devices最新文献

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Swallowing hydrodynamics visualization and aspiration quantification in a patient-specific pharyngolaryngeal model with varying epiglottis inversions 在会厌倒置程度不同的患者特异性咽喉模型中实现吞咽流体力学可视化和吸气量化
Medicine in Novel Technology and Devices Pub Date : 2024-08-23 DOI: 10.1016/j.medntd.2024.100326
Amr Seifelnasr , Chen Sun , Peng Ding , Xiuhua April Si , Jinxiang Xi
{"title":"Swallowing hydrodynamics visualization and aspiration quantification in a patient-specific pharyngolaryngeal model with varying epiglottis inversions","authors":"Amr Seifelnasr ,&nbsp;Chen Sun ,&nbsp;Peng Ding ,&nbsp;Xiuhua April Si ,&nbsp;Jinxiang Xi","doi":"10.1016/j.medntd.2024.100326","DOIUrl":"10.1016/j.medntd.2024.100326","url":null,"abstract":"<div><p>Impaired swallowing, or dysphagia, significantly affects patients' well-being and health. Nearly half of the patients with head and neck cancers experience dysphagia or aspiration following radiation therapy or surgery. However, current dysphagia management approaches are primarily symptom-based rather than etiology-specific, owing to a lack of clear understanding of aspiration mechanisms. This study aimed to understand the mechanisms of aspiration in an anatomically accurate pharyngolaryngeal model at different epiglottis angles. A biomechanical swallowing model was developed using transparent casts, and liquid flow dynamics were visualized using fluorescent dye from side and back views. Two liquids and two dispensing conditions were evaluated for their roles in aspiration. The results demonstrated distinct flow dynamics between water and a 1 ​% w/v methylcellulose aqueous solution and, to a lesser extent, between fast and slow dispensing for the same liquid. Three frequent aspiration sites were identified, including the interarytenoid notch, the cuneiform tubercular recess, and the vallecula, corresponding to aspiration mechanisms of notch overflow, recess overflow, and creeping flow, respectively. The angle of the epiglottis influenced flow dynamics in at least three ways: by facilitating gravity-assisted fluid movement, redistributing flow through the gap between the epiglottis tip and pharyngeal wall, and affecting creeping flow via the angle between the epiglottis base and hypopharynx. Slow dispensing of water to the anterior oropharynx resulted in a significantly high aspiration rate with a downward tilted epiglottis due to concurrent tubercle-recess overflow and vallecular creeping flow. The biomechanical model can serve as a testing platform for better understanding aspiration mechanisms and developing etiology-based strategies before and after treatments for head and neck cancers.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"24 ","pages":"Article 100326"},"PeriodicalIF":0.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000420/pdfft?md5=ebaf8d0111da407483d587fa78ea4ea5&pid=1-s2.0-S2590093524000420-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142095545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preclinical testing of immunotoxicity for animal-derived dermal materials 动物皮肤材料免疫毒性的临床前测试
Medicine in Novel Technology and Devices Pub Date : 2024-08-12 DOI: 10.1016/j.medntd.2024.100323
Huan Lian, Yu Liu, Han Wang, Jianxia Xu, Qianqian Han
{"title":"Preclinical testing of immunotoxicity for animal-derived dermal materials","authors":"Huan Lian,&nbsp;Yu Liu,&nbsp;Han Wang,&nbsp;Jianxia Xu,&nbsp;Qianqian Han","doi":"10.1016/j.medntd.2024.100323","DOIUrl":"10.1016/j.medntd.2024.100323","url":null,"abstract":"<div><p>Animal derived materials have been widely used in biomedical products owing to their good biocompatibility and appropriate mechanical properties. It is crucial to evaluate the immunotoxicity of such materials in preclinical testing to prevent severe immune responses in patients. In this study, a pipeline of immunotoxicity tests was established to evaluate animal-derived materials before de-cellularization and final products. This pipeline contains a serial of animal tests on BALB/c mice and an <em>in vitro</em> quantification test for a-Gal antigen. It is well-recognized that the interaction between materials and patients profoundly alters immune responses, thus, a comprehensive dataset including body weight, immune organ coefficient, histopathology, peripheral hematology, serum immunoglobulin level, spleen lymphocyte proliferation rate, and their subpopulation was created and analyzed using the SPSS tool. These results clearly suggested that the de-cellularized materials possessed better biocompatibility, in addition, the a-Gal antigen content was effectively decreased by 96.0 ​% after de-cellularization. Thus, this study confirmed that this multi-step enzymatic de-cellularization treatment is a potent method to reduce the immunotoxicity of animal-derived biomaterials. Moreover, the experimental pipeline will likely be transferable to other biomedical materials and products.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100323"},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000390/pdfft?md5=58975ddce0c4dde7199011713c2ea313&pid=1-s2.0-S2590093524000390-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A time-synchronized multimodal monitoring system for general anesthesia 用于全身麻醉的时间同步多模式监测系统
Medicine in Novel Technology and Devices Pub Date : 2024-08-05 DOI: 10.1016/j.medntd.2024.100324
Zhenhu Liang , Guanwei Geng , Qifeng Song , Mengmeng Tang
{"title":"A time-synchronized multimodal monitoring system for general anesthesia","authors":"Zhenhu Liang ,&nbsp;Guanwei Geng ,&nbsp;Qifeng Song ,&nbsp;Mengmeng Tang","doi":"10.1016/j.medntd.2024.100324","DOIUrl":"10.1016/j.medntd.2024.100324","url":null,"abstract":"<div><p>In clinical settings, different kinds of patient monitoring systems and depth of anesthesia monitoring (DoA) systems have been widely used to assess the depth of sedation and patient's state. However, all these monitoring systems are independent of each other. To date, no monitoring system has focused on the synchronized neural activities, cerebral metabolism, autonomic nervous system, and drug effects on the brain, as well as their interactions between neural activities and cerebral metabolism (i.e., neurovascular coupling), and between brain and heart (i.e., brain-heart coupling). In this study, we developed a time-synchronized multimodal monitoring system (TSMMS) that integrates electroencephalogram (EEG), near-infrared spectroscopy (NIRS), and standard physiological monitors (electrocardiograph, blood pressure, oxygen saturation) to provide a comprehensive view of the patient's physiological state during surgery. The coherence and Granger causality (GC) methods were used to quantify the neurovascular coupling and brain-heart coupling. The response surface model was used to estimate the combined propofol-remifentanil drug effect on the brain. TSMMS integrates data from various devices for a comprehensive analysis of vital signs. It enhances anesthesia monitoring through detailed EEG features, neurovascular, and brain-heart coupling indicators. Additionally, a response surface model estimates the combined effects of propofol and remifentanil, aiding anesthesiologists in drug administration. In conclusion, TSMMS provides a new tool for studying the coupling mechanism among neural activities, cerebral metabolism, and autonomic nervous system during general anesthesia.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100324"},"PeriodicalIF":0.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000407/pdfft?md5=452bb2dd86f1c20ab46d691c255d0d13&pid=1-s2.0-S2590093524000407-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141979477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Erratum regarding updating Declaration of Competing Interest and animal studies statements in previously published articles 关于更新先前发表文章中的竞争利益声明和动物研究声明的勘误
Medicine in Novel Technology and Devices Pub Date : 2024-07-18 DOI: 10.1016/j.medntd.2024.100306
{"title":"Erratum regarding updating Declaration of Competing Interest and animal studies statements in previously published articles","authors":"","doi":"10.1016/j.medntd.2024.100306","DOIUrl":"10.1016/j.medntd.2024.100306","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100306"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000225/pdfft?md5=045052dedc882e34445c1894735b9441&pid=1-s2.0-S2590093524000225-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141729624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent applications and molecular mechanisms of hyaluronic acid in skin aging and wound healing 透明质酸在皮肤老化和伤口愈合中的最新应用和分子机制
Medicine in Novel Technology and Devices Pub Date : 2024-07-14 DOI: 10.1016/j.medntd.2024.100320
Lin Shang , Man Li , Anjian Xu , Fenglin Zhuo
{"title":"Recent applications and molecular mechanisms of hyaluronic acid in skin aging and wound healing","authors":"Lin Shang ,&nbsp;Man Li ,&nbsp;Anjian Xu ,&nbsp;Fenglin Zhuo","doi":"10.1016/j.medntd.2024.100320","DOIUrl":"10.1016/j.medntd.2024.100320","url":null,"abstract":"<div><p>Skin aging and wound healing have always been significant topics in the skin field. Hyaluronic acid (HA), a natural glycosaminoglycan (GAG) presenting in the extracellular matrix (ECM), is extensively applied in the fields of anti-aging therapeutics and wound repair due to its unique physicochemical and biological properties. HA is indispensable in the regulation of diverse biological processes such as cellular proliferation, differentiation, migration, signaling, inflammatory responses, angiogenesis, and tissue regeneration. Consequently, HA-based formulations, including creams, gels, serums, and dermal fillers, are instrumental in combating wrinkles, enhancing skin hydration, correcting tear trough deformity, and restoring facial volume. Additionally, the inherent biocompatibility and high biodegradability of HA facilitates its chemical modification, rendering it an ideal material for wound healing and tissue regeneration. This review summarizes the recent advances and applications of the molecular mechanisms of HA and its derivatives in the field of anti-aging and wound healing; and discusses the prospects and challenges of HA-based compounds in tissue repair and skin regeneration.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100320"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000365/pdfft?md5=158cc6c6f2a015af5f386adc42733e12&pid=1-s2.0-S2590093524000365-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141715858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
NO transport characteristics in microcirculation and its implications in the assessment of microvascular dysfunction in type 2 diabetes mellitus 微循环中的 NO 转运特征及其对评估 2 型糖尿病患者微血管功能障碍的影响
Medicine in Novel Technology and Devices Pub Date : 2024-07-14 DOI: 10.1016/j.medntd.2024.100321
Ying He , Yongtao Liu , Lili Long , Yajie Wei , Yunxia Lu
{"title":"NO transport characteristics in microcirculation and its implications in the assessment of microvascular dysfunction in type 2 diabetes mellitus","authors":"Ying He ,&nbsp;Yongtao Liu ,&nbsp;Lili Long ,&nbsp;Yajie Wei ,&nbsp;Yunxia Lu","doi":"10.1016/j.medntd.2024.100321","DOIUrl":"10.1016/j.medntd.2024.100321","url":null,"abstract":"<div><p>Diabetes mellitus is a metabolic disorder syndrome caused by various pathogenic factors leading to imbalance of active substance secretion and endothelial dysfunction, causing macro and micro vascular complications. As the most important signal transduction molecule released by endothelium, NO participates in various physiological processes of microcirculation and plays an important role in vascular relaxation regulation. Extensive studies focus on the investigation of the analysis of NO transport in microvessels, RBC motion and its influence on NO transport since they are of extremely importance for understanding the mechanisms of vessel autoregulation and microcirculation lesion. NO transport characteristics are closely associated with hemorheology, hemodynamics and microvascular structure. Nevertheless, up to date, there are limited reports on NO transport characteristics in diabetic mellitus. The purpose of this review is to summarize the current advances in the investigation of NO transport characteristics from cellular to vascular level, which can provide effective ideas for the early diagnosis of vascular complications in diabetes.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100321"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000377/pdfft?md5=744a274c8e30955c65ad77c5af700a74&pid=1-s2.0-S2590093524000377-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141691876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges 基于深度学习的心肌梗塞检测方法:最新进展与新挑战综述
Medicine in Novel Technology and Devices Pub Date : 2024-07-14 DOI: 10.1016/j.medntd.2024.100322
Elshafey Radwa, Hamila Ridha, Bensaali Faycal
{"title":"Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges","authors":"Elshafey Radwa,&nbsp;Hamila Ridha,&nbsp;Bensaali Faycal","doi":"10.1016/j.medntd.2024.100322","DOIUrl":"10.1016/j.medntd.2024.100322","url":null,"abstract":"<div><p>Myocardial infarction (MI) is a severe heart disease requiring immediate and accurate detection for effective treatment. Deep learning (DL) algorithms have recently shown promise in enhancing MI diagnostic accuracy from electrocardiography (ECG) and echocardiogram (ECHO). This review presents a comprehensive literature overview focusing on recent innovative research on DL algorithms in ECG and ECHO analysis for MI identification. We examined relevant studies employing DL models, analyzing datasets, model architectures, preprocessing approaches, and performance measures. The findings reveal that DL-based algorithms substantially improve MI detection in terms of accuracy, sensitivity, specificity, and overall diagnostic performance. This is crucial for quicker, more reliable diagnoses and reducing the risk of complications. DL-based ECG and ECHO analyses emerge as pivotal tools for early and efficient MI identification. This review contributes to understanding the latest DL advancements in ECG and ECHO analysis for MI diagnosis, offering important directions for future research.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100322"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000389/pdfft?md5=23d0627e08ec6587649915132533654c&pid=1-s2.0-S2590093524000389-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of left ventricle ejection fraction from HRV in diabetics and cardiac diseased subjects: A mathematical model approach 根据心率变异预测糖尿病患者和心脏病患者的左心室射血分数:数学模型方法
Medicine in Novel Technology and Devices Pub Date : 2024-07-04 DOI: 10.1016/j.medntd.2024.100317
Ulka Shirole , Manjusha Joshi
{"title":"Prediction of left ventricle ejection fraction from HRV in diabetics and cardiac diseased subjects: A mathematical model approach","authors":"Ulka Shirole ,&nbsp;Manjusha Joshi","doi":"10.1016/j.medntd.2024.100317","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100317","url":null,"abstract":"<div><p>Heart Rate variability (HRV) is the variation between beat-to-beat intervals in a consecutive heartbeat. HRV provides enormous information about cardiac health. Electrocardiogram and echocardiography (2D echo) are the two major techniques used by medical practitioners to diagnose cardiac health. The 2D echo provides more accurate results as compared to electrocardiography but costs ten times more. This research provides low-cost solution for cardiac health diagnosis to the level of 2D echo derived from the electrocardiogram. ECG and the 2D echo data of the same cohort are collected from 15 diabetics and 15 cardiac-diseased subjects. In this research, we found a correlation between significant HRV parameters and 2D Echo parameters. Maximum correlation is obtained between LF/HF (low-frequency power to high-frequency power ratio), the HRV parameter, and LVEF (left ventricle ejection fraction), the 2D echo parameter. We derived various mathematical models, to predict the LVEF, from LF/HF for both cardiac diseased and diabetics separately. The combined best-fit model is obtained using nonlinear regression with the goodness of fit, <em>R</em><sup>2</sup> ​= ​94.54 %.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100317"},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259009352400033X/pdfft?md5=a8bc84ae014f1e86baa5f6347f30811a&pid=1-s2.0-S259009352400033X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new era in healthcare: The integration of artificial intelligence and microbial 医疗保健的新时代:人工智能与微生物的融合
Medicine in Novel Technology and Devices Pub Date : 2024-07-02 DOI: 10.1016/j.medntd.2024.100319
Daliang Huo , Xiaogang Wang
{"title":"A new era in healthcare: The integration of artificial intelligence and microbial","authors":"Daliang Huo ,&nbsp;Xiaogang Wang","doi":"10.1016/j.medntd.2024.100319","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100319","url":null,"abstract":"<div><p>The convergence of artificial intelligence (AI) and microbial therapeutics offers promising avenues for novel discoveries and therapeutic interventions. With the exponential growth of omics datasets and rapid advancements in AI technology, the next generation of AI is increasingly prevalent in microbiology research. In microbial research, AI is instrumental in the classification and functional annotation of microorganisms. Machine learning algorithms facilitate efficient and accurate categorization of microbial taxa, enabling the identification of functional traits and metabolic pathways within microbial communities. Additionally, AI-driven protein design strategies hold promise for engineering enzymes with enhanced catalytic activities and stabilities. By predicting protein structures, functions, and interactions, AI algorithms enable the rational design of proteins and enzymes tailored for specific applications. AI systems are already present in clinical microbiology laboratories in the form of expert rules used by some automated susceptibility testing and identification systems. In the future, microbiology technologists will rely more heavily on AI for initial screening, allowing them to focus on diagnostic challenges and complex technical interpretations. AI-driven approaches hold immense promise in advancing our understanding of microbial ecosystems, accelerating drug discovery processes, and fostering the development of groundbreaking therapeutic interventions. This review aims to summarize common algorithms in AI and their applications within microbiology and synthetic biology. We provide a comprehensive evaluation of AI’s utility in microbial research, discussing both its advantages and challenges. Finally, we explore future research directions and the bottlenecks faced by AI in the microbial field.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100319"},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000353/pdfft?md5=418a1e4fa070995d556897aac02b6475&pid=1-s2.0-S2590093524000353-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141594257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural network-based estimation of lower limb joint kinematics: A minimally intrusive approach for gait analysis 基于神经网络的下肢关节运动学估算:步态分析的微侵入方法
Medicine in Novel Technology and Devices Pub Date : 2024-06-28 DOI: 10.1016/j.medntd.2024.100318
Farid Kenas , Nadia Saadia , Amina Ababou , Noureddine Ababou , Mahdi Zabat , Karim BenSiSaid
{"title":"Neural network-based estimation of lower limb joint kinematics: A minimally intrusive approach for gait analysis","authors":"Farid Kenas ,&nbsp;Nadia Saadia ,&nbsp;Amina Ababou ,&nbsp;Noureddine Ababou ,&nbsp;Mahdi Zabat ,&nbsp;Karim BenSiSaid","doi":"10.1016/j.medntd.2024.100318","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100318","url":null,"abstract":"<div><p>The establishment of a quantitative gait analysis system holds paramount importance, particularly in the context of functional rehabilitation of the lower limbs. Clinicians emphasize the imperative for sensors to be portable, compact, integrated, and non-intrusive, crucial characteristics in the rehabilitation field to facilitate their use and ensure optimal integration into care protocols. This study investigates an innovative approach aimed at reducing the reliance on body-fixed sensors by harnessing their data within a neural network, thus concentrating on the joint kinematics of the lower limbs. The primary objective is to estimate the flexion-extension angles of the hip, knee, and ankle during walking, utilizing data collected by two sensors positioned on the subject's legs. Initially, the neural network undergoes training with calculated data (leg tilt angles and angular velocities) sourced from the OpenSim database, followed by further refinement with experimental data obtained from a subject walking on a treadmill, wherein leg tilt angles and angular velocities are measured. The significance of this research is underscored by the demonstrated capability, through conducted tests, of the implemented networks to efficiently fuse data from a minimal set of sensors. Consequently, the proposed approach emerges as both practical and minimally intrusive, facilitating a robust evaluation of gait kinematic parameters.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100318"},"PeriodicalIF":0.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000341/pdfft?md5=e4d2cdc7e0fb29d6d32c3c1fb5e1003b&pid=1-s2.0-S2590093524000341-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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