Medicine in Novel Technology and Devices最新文献

{"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>² ​= ​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}

{"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}

{"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}

{"title":"Attention to competitive diving injuries: A systematic review","authors":"Xin Wang ,&nbsp;Meizi Wang ,&nbsp;Ming Zhang","doi":"10.1016/j.medntd.2024.100316","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100316","url":null,"abstract":"<div><p>Competitive diving is a popular sport that attracts numerous participants worldwide; unfortunately, competitive divers experience a notable frequency of injuries during training and competition. Despite this, injuries in diving often received less attention compared to those in other aquatic sports. The purpose of this study was to conduct a systematic review to update the scientific evidence on injury incidence in competitive divers to offer insights into the prevalent injury patterns and help develop injury prevention strategies. This involved analyzing injury data collected from the Injury Surveillance Programme (ISP) across various levels of competition events and assessing case reports involving a wide spectrum of diving injuries. Four online bibliographical databases were consulted: Google Scholar, PubMed, Scops, and Web of Science from their inception until December 6, 2023.819 studies were initially identified, and 15 studies were finally included in this review. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISM) guidelines and PRISMA in Exercise, Rehabilitation, Sport Medicine, and Sport Science (PERSiST) were followed. Two independent reviewers evaluated the methodological quality of the studies. The majority of diving injuries are concentrated on the upper body/trunk, including the shoulder, spine, hand/wrist, head/face, and neck, with overuse injury being a main contribution. Regarding diving incidence, the actual injury rate in competitive athletes could be even higher than currently reported, primarily due to limitations in implementing injury surveillance protocol for diving athletes. The latest injury data for diving in big competition events is absent, and there is a strong expectation for more new injury surveillance data to be published in the future. Additionally, the specific injury pattern, prevention strategy, and rehabilitation training plan for diving injury are severely deficient in the current literature.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100316"},"PeriodicalIF":0.0,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000328/pdfft?md5=cfb7c59ecde62e072a45f18455e67ce6&pid=1-s2.0-S2590093524000328-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480547","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}

{"title":"A multifunctional baicalin-coordinated borate ions/bacterial cellulose composite hydrogel for efficient treatment of chronic wounds","authors":"Wenxin Zhang ,&nbsp;Shubi Zhao ,&nbsp;Siwen Wu ,&nbsp;Tianran Song ,&nbsp;Qifeng Guan ,&nbsp;Junwei Xu ,&nbsp;Jingxi Wang ,&nbsp;Ping Li ,&nbsp;Yubo Fan","doi":"10.1016/j.medntd.2024.100315","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100315","url":null,"abstract":"<div><p>Microbial infection, poor vascular regeneration and abnormal inflammation often impede the smooth repair of skin wounds, and these problems need to be effectively addressed. Baicalin is a natural flavonoid compound with a wide range of beneficial pharmacological effects, including antibacterial, angiogenic and anti-inflammatory properties. However, its clinical application is severely limited by poor water solubility and low bioavailability. In this study, we developed a multifunctional baicalin-coordinated borate ions/bacterial cellulose (Bai-B/BC) composite hydrogel at a low gelation concentration to promote chronic wound healing. On the one hand, the mechanical property of the self-assembled Bai-B hydrogel network was improved by the BC hydrogel network in the composite hydrogel; on the other hand, the self-assembled Bai-B hydrogel network gave the composite hydrogel the ability to self-heal and continuously release baicalin and boron ions. Importantly, baicalin and borate ions in Bai-B/BC composite hydrogel dressing played a synergistic pharmacological role in wound healing. The <em>in vitro</em> results showed that the Bai-B/BC hydrogel had excellent biocompatibility, antibacterial activity and anti-inflammatory effects in comparison with the control group and other hydrogel groups. Further <em>in vivo</em> studies displayed that the Bai-B/BC hydrogel significantly accelerated the healing process of chronic wound by promoting uniform and orderly collagen deposition, granulation tissue formation and vascular regeneration. The Bai-B-based self-assembled hydrogel is set to become a star dressing in the treatment of chronic wounds.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100315"},"PeriodicalIF":0.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000316/pdfft?md5=2638301b5b4c00acaec68d18146b75e8&pid=1-s2.0-S2590093524000316-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480548","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}

{"title":"Therapeutic smart-footwear approach for management of neuropathic diabetic foot ulcers: Current challenges and focus for future perspective","authors":"Stanley I.R. Okoduwa ,&nbsp;Bernard E. Igiri ,&nbsp;Jerry I. Tagang ,&nbsp;Ugochi J. Okoduwa ,&nbsp;Abraham O. Adeyi","doi":"10.1016/j.medntd.2024.100311","DOIUrl":"10.1016/j.medntd.2024.100311","url":null,"abstract":"<div><p>Diabetic foot ulcers (DFU) have been connected to rising global mortality rates. An increased plantar tissue stress beneath the numb foot of neuropathy patients is associated with DFU. This article summarises essential therapeutic footwear concepts for the treatment of DFUs and shows how new sensor technologies have made this possible. People with neuropathic DFUs can address their foot problems with therapeutic footwear without being constrained in their daily activities. This intervention in maintaining DFUs must be discrete, power-efficient, accurate, and user-friendly in order to offer a trustworthy and acceptable way for effective health monitoring. The device can be inserted into a person's shoes from the plantar aspect of the foot to gather more information about their health. The findings showed that weight-bearing activities and sensor offloading devices can be employed as effective offloading therapies to heal DFU. This article examines the therapeutic footwear-based technological sensor system, which keeps track of many elements that are helpful in tracking foot ulcers, available treatments, and potential research areas in the future.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100311"},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000274/pdfft?md5=06bda3fa39c24d0460ec15be1f712d28&pid=1-s2.0-S2590093524000274-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141400582","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}

{"title":"Towards a new frontier in wrist rehabilitation: The traction-free posture orthosis","authors":"Paolo Boccolari ,&nbsp;Roberto Tedeschi ,&nbsp;Danilo Donati","doi":"10.1016/j.medntd.2024.100310","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100310","url":null,"abstract":"<div><p>This study presents the novel Traction-Free Posture Orthosis, designed to address wrist stiffness without the use of traditional traction methods. The orthosis employs a velcro system to stabilize the position of the wrist in flexion or extension, thereby avoiding the compression and rotational disadvantages associated with non-perpendicular traction forces. Triangular-shaped cuts in the brace allow for plastic material flexibility, ensuring movement and comfort. Significant is the absence of a traction strap, which traditionally reduces the support surface and could create pressure points leading to patient discomfort or treatment rejection. The design facilitates a wide contact surface with the hand, optimal load distribution, and the capacity to adjust dual traction straps independently, adapting to the natural wrist movement. This single-piece base orthosis offers a stable, cost-effective, and patient-friendly alternative to conventional splints. However, patients with stiffness in both flexion and extension may require two separate orthoses, potentially increasing costs and patient inconvenience. Overall, the Traction-Free Posture Orthosis represents an innovative step in wrist rehabilitation, providing a quick-to-construct, easy-to-wear solution with the promise of enhanced patient compliance and comfort.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"23 ","pages":"Article 100310"},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000262/pdfft?md5=61122efd397802b2b109baf7b6d9a3c6&pid=1-s2.0-S2590093524000262-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141298278","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}

{"title":"Novel succinoylated carboxymethyl guar gum nanocarriers of glimepiride for controlling type-2 diabetes","authors":"Harsh Yadav ,&nbsp;Biswajit Maji ,&nbsp;Sabyasachi Maiti","doi":"10.1016/j.medntd.2024.100309","DOIUrl":"10.1016/j.medntd.2024.100309","url":null,"abstract":"<div><p>In this study, guar gum (GG) was chemically modified to its carboxymethyl derivative, which was then esterified with octenyl succinic anhydride (OSA) using a nucleophilic catalyst 4-dimethylaminopyridine (DMAP) to render the derivative amphiphilic characteristics. The carboxymethyl guar gum (CMGG) and succinoylated CMGG was characterized using Fourier transform infrared spectroscopy (FTIR) spectroscopy. The amphiphilic CMGG synthesized using DMAP/OSA ratio of 0.5:1 (CMGGOSA-I), was found to be non-toxic. The amphiphilic guar gum self-assembled in water to form nanocarriers with mean diameter of 430 ​nm and zeta potential of −19.0 ​mV. Transmittance electron microscope (TEM) image showed spherical nature of the developed CMGGOSA-I nanocarriers. In presence of amphiphilic CMGG, the aqueous solubility of glimepiride was enhanced by about 67-fold. The nanocarriers released glimepiride in simulated gastrointestinal fluids for a period of more than 24 ​h, following Higuchi's kinetics. Korsmeyer-Peppas modeling of the drug release data revealed that a combination of swelling and diffusion mechanism was operative in the event of drug release. In streptozotocin-induced diabetic rat model, the nanocarriers outperformed pure drug suspensions in terms of anti-diabetic activity, which lasted up to 24 ​h. Overall; the newly synthesized amphiphilic CMGG nanocarriers demonstrated controlled drug release properties and showed promise for controlling type-2 diabetes.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"22 ","pages":"Article 100309"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000250/pdfft?md5=fcdcdd52e91910a841746156c442096d&pid=1-s2.0-S2590093524000250-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234300","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}

{"title":"Cover","authors":"","doi":"10.1016/S2590-0935(24)00028-6","DOIUrl":"https://doi.org/10.1016/S2590-0935(24)00028-6","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"22 ","pages":"Article 100312"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000286/pdfft?md5=01f7c4ee726d495d9b1bd0bb48d589b2&pid=1-s2.0-S2590093524000286-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141322950","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}

{"title":"A memory-friendly class-incremental learning method for hand gesture recognition using HD-sEMG","authors":"Yu Bai,&nbsp;Le Wu,&nbsp;Shengcai Duan,&nbsp;Xun Chen","doi":"10.1016/j.medntd.2024.100308","DOIUrl":"https://doi.org/10.1016/j.medntd.2024.100308","url":null,"abstract":"<div><p>Hand gesture recognition (HGR) plays a vital role in human-computer interaction. The integration of high-density surface electromyography (HD-sEMG) and deep neural networks (DNNs) has significantly improved the robustness and accuracy of HGR systems. These methods are typically effective for a fixed set of trained gestures. However, the need for new gesture classes over time poses a challenge. Introducing new classes to DNNs can lead to a substantial decrease in accuracy for previously learned tasks, a phenomenon known as “catastrophic forgetting,” especially when the training data for earlier tasks is not retained and retrained. This issue is exacerbated in embedded devices with limited storage, which struggle to store the large-scale data of HD-sEMG. Class-incremental learning (CIL) is an effective method to reduce catastrophic forgetting. However, existing CIL methods for HGR rarely focus on reducing memory load. To address this, we propose a memory-friendly CIL method for HGR using HD-sEMG. Our approach includes a lightweight convolutional neural network, named SeparaNet, for feature representation learning, coupled with a nearest-mean-of-exemplars classifier for classification. We introduce a priority exemplar selection algorithm inspired by the herding effect to maintain a manageable set of exemplars during training. Furthermore, a task-equal-weight exemplar sampling strategy is proposed to effectively reduce memory load while preserving high recognition performance. Experimental results on two datasets demonstrate that our method significantly reduces the number of retained exemplars to only a quarter of that required by other CIL methods, accounting for less than 5 ​% of the total samples, while still achieving comparable average accuracy.</p></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"22 ","pages":"Article 100308"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590093524000249/pdfft?md5=3029ec8dac29af1192a16ef30701452b&pid=1-s2.0-S2590093524000249-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141089954","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}