Medicine in Novel Technology and Devices最新文献

{"title":"Cover","authors":"","doi":"10.1016/S2590-0935(25)00007-4","DOIUrl":"10.1016/S2590-0935(25)00007-4","url":null,"abstract":"","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100356"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563252","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":"Corchorus olitorius (Jute) fiber enforced sustainable polymeric dressing material for antimicrobial activity","authors":"Gupta Swati Sanjaykumar ,&nbsp;Rishabha Malviya ,&nbsp;Dhanalekshmi Unnikrishnan Meenakshi ,&nbsp;Sathvik Belagodu Sridhar","doi":"10.1016/j.medntd.2025.100352","DOIUrl":"10.1016/j.medntd.2025.100352","url":null,"abstract":"<div><div>Drug delivery to wounds has developed over time from the rudimentary administration of medication on the wound or the site of infection to more sophisticated drug delivery systems. For effectively and rapidly curing wounds, a diverse range of anti-bacterial drug delivery systems must be developed. The current study investigates the possibility of using an inexpensive and environment-friendly sustainable <em>Corchorus olitorius</em> fiber (COF) as a drug carrier for the antibacterial drug tetracycline HCl and its potential as a dressing material. The fibers were purified, grafted using acrylamide monomer, and tested for SEM, FT-IR, TGA, swelling index, swelling-de- swelling behavior, and chemical resistance. Drug loading was carried out, the highest drug loading percentage was found at 99.97 ​% and the formulation released medication according to the Baker-Lonsdale release kinetics pattern. The anti-microbial study showed effective inhibition of Staphylococcus aureus. The study demonstrates the successful synthesis and application of acrylamide-grafted COF loaded with tetracycline HCl, showcasing its potential as an effective wound dressing for wound care and management. Corchorus olitorius fiber is a cost-effective and eco-friendly material for preparing medicated polymeric dressings.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100352"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297054","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":"Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction","authors":"Shuo Zhang ,&nbsp;Biao Chen ,&nbsp;Chaoyang Chen ,&nbsp;Maximillian Hovorka ,&nbsp;Jin Qi ,&nbsp;Jie Hu ,&nbsp;Gui Yin ,&nbsp;Marie Acosta ,&nbsp;Ruby Bautista ,&nbsp;Hussein F. Darwiche ,&nbsp;Bryan E. Little ,&nbsp;Carlos Palacio ,&nbsp;John Hovorka","doi":"10.1016/j.medntd.2024.100341","DOIUrl":"10.1016/j.medntd.2024.100341","url":null,"abstract":"<div><div>Abnormal gaits including pelvic obliquity gait and knee hyperextension gait are common clinical symptoms related to flat-ground fall among elder adults. This study aimed to determine the feasibility of using lower limb myoelectrical signals (electromyographic signals, EMG) for gait pattern recognition and to identify the optimal machine learning (ML) algorithms for EMG signal processing. Seven healthy subjects were recruited with their EMG signals collected from eight muscles of the lower limbs during walking with normal and abnormal gaits. Four basic ML algorithms including support vector machine (SVM), K-nearest neighbor (kNN), decision tree (DT), and naive Bayes (NB), and five deep learning models including convolutional neural network (CNN), long-short term memory (LSTM), bidirectional long short-term memory (BiLSTM), and CNN-BiLSTM were used to process the EMG signals recorded under different gaits. Statistical analysis was performed to compare the accuracy of individual ML algorithms in discriminating gait patterns. The overall accuracy was 95.78 % for SVM, 95.09 % for CNN-LSTM, and 96.28 % for CNN-BiLSTM, respectively. The overall accuracy was 90.25 % for DT, 92.62 ​% for kNN, 91.27 ​% for NB, and 90.34 ​% for CNN, respectively. The accuracy was 67.39 % for LSTM and 74.75 % for BiLSTM, respectively. Most ML algorithms in this study had an accuracy greater than 90 ​% in EMG-based abnormal gait pattern recognition except for LSTM and BiLSTM. This study provides novel technology for evaluation of gait pattern recognition related to flat ground fall.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100341"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703127","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":"Diabetes mellitus: The pathophysiology as a canvas for management elucidation and strategies","authors":"Franklyn Nonso Iheagwam ,&nbsp;Olawumi Toyin Iheagwam","doi":"10.1016/j.medntd.2025.100351","DOIUrl":"10.1016/j.medntd.2025.100351","url":null,"abstract":"<div><div>Diabetes mellitus (DM) is a progressive metabolic disease characterised by high blood glucose due to autoimmune destruction of the β-islet of Langerhans or gradual development of insulin resistance and β-cell degeneration. Numerous risk factors, from genetic to environmental, are associated with this disease. Based on the global observed cases and etiopathogenesis, DM falls into three broad categories: type 1, 2, and gestational diabetes mellitus. A comprehensive search was used to identify relevant publications using targeted keywords associated with DM, pathophysiology, medication, characterised compounds, and others across prominent databases like PubMed, Scopus, and Web of Science. This review examines how DM pathophysiology influences the type of diagnosis, screening, treatment, and management regimen that is implemented. The link between DM and some mechanistic factors and activated glucose metabolic changes is discussed. Insights on the medications targeting various DM pathophysiology mechanisms, antidiabetic mechanisms of characterised compounds from natural products and computer-aided identification of antidiabetics from natural sources are reviewed. These findings could lay the groundwork for inventive therapeutic strategies and leads from natural products based on the proper elucidation of antidiabetic mechanisms, thereby improving management and the impact of DM.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100351"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297053","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 systematic review on recent methods on deep learning for automatic detection of Alzheimer's disease","authors":"Radhakrishna Chamakuri,&nbsp;Hyma Janapana","doi":"10.1016/j.medntd.2024.100343","DOIUrl":"10.1016/j.medntd.2024.100343","url":null,"abstract":"<div><div>Alzheimer's disease (AD) is the most frequent cause of dementia, however, and it is caused by a number of different disorders. With regard to the elderly population all over the world, Alzheimer's disease is the seventh largest cause of mortality, disability, and reliance. Depression, social isolation, inactivity, alcohol, smoking, obesity, diabetes, high blood pressure, and age are all variables that can increase the likelihood of getting dementia. Other risk factors include social isolation, depression, and smoking. A diagnosis of Alzheimer's disease at an earlier stage may improve the odds of receiving care and therapy. Medical professionals often diagnose AD based on a limited number of symptoms. On the other hand, it is now possible to identify and categorize Alzheimer's disease (AD) because of technological advancements such as artificial intelligence (AI). However, to identify the current AI-enabled approaches, we must conduct an investigation into the state of the art. This breakthrough in diagnosis methodologies will enable the development of the Clinical Decision Support System (CDSS), capable of automatically diagnosing Alzheimer's disease (AD) without human expertise. In this publication, we conduct a systematic review of sixty research articles previously reviewed by other researchers. The systematic review sheds light on the synthesis of new knowledge and ideas. This study discusses the current approaches for machine learning, deep learning methods, ensemble models, transfer learning, and methods used for early Alzheimer's disease diagnosis. This paper provides answers to a large number of research issues and synthesizes fresh information that is helpful to the reader on many elements of AI-enabled approaches for Alzheimer's disease diagnosis. In addition, it has the potential to stimulate additional research into more effective methods of computer-based intelligent identification of Alzheimer's disease.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703128","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":"Blastocyst cavity expansion promotes DNA methylation during early development of mouse embryos","authors":"Zheng Guo,&nbsp;Jing Du","doi":"10.1016/j.medntd.2024.100347","DOIUrl":"10.1016/j.medntd.2024.100347","url":null,"abstract":"<div><div>DNA methylation is an important epigenetic modification that plays a key role in the complex process of mouse embryonic development. The blastocyst cavity expansion is crucial during the second cell fate specification in mouse embryos, yet its impact on DNA methylation remains unclear. In this study, we investigate the effects of blastocyst cavity expansion on DNA methylation through two different methods: hypertonic exposure or disruption of TE (Trophectoderm) cortical tension. We found that inhibition of the blastocyst cavity expansion, either through hypertonic exposure or through disruption of TE cortical tension, suppresses the level of 5 ​MC (5-Methylcytosine) marker of DNA methylation. As a key upstream regulator of 5 ​MC, the expression variance of DNMT3L (DNA methyltransferase 3-like protein) is similar to that of 5 ​MC during the embryonic stages E2.5 to E3.5. This study reveals the function of mechanical behavior of embryos in the epigenetic modification of early mammalian embryos.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100347"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159777","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":"The history, current state and future possibilities of the non-invasive brain computer interfaces","authors":"Frederico Caiado,&nbsp;Arkadiy Ukolov","doi":"10.1016/j.medntd.2025.100353","DOIUrl":"10.1016/j.medntd.2025.100353","url":null,"abstract":"<div><div>This study explores the history and current state of Brain-Computer Interfaces (BCIs), focusing on non-invasive, EEG-based devices. BCIs have evolved from early studies in neurophysiology to real-world applications that convert brain impulses into executable commands. The study discusses the two main categories of BCIs: invasive and non-invasive, highlighting their benefits and limitations. Invasive BCIs provide precise signals but carry higher risks and ethical concerns, while non-invasive BCIs are safer but face challenges with signal deterioration and external noise. The study also evaluates the potential of wider use and availability of non-invasive interfaces by analysing their existing capabilities, limits, and potential future developments. Solutions to overcome technological and ethical challenges are explored to improve usability, user experience, and impact in areas such as healthcare, rehabilitation, entertainment, and cognitive enhancement.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100353"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297052","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":"Change in EEG-EMG synchronization reflecting abnormal functional corticomuscular coupling following stroke: A pilot study","authors":"Xiaoling Chen ,&nbsp;Jinyuan Zhang ,&nbsp;Yingying Hao ,&nbsp;Ying Liu ,&nbsp;Yinan Yang ,&nbsp;Ping Xie","doi":"10.1016/j.medntd.2024.100335","DOIUrl":"10.1016/j.medntd.2024.100335","url":null,"abstract":"<div><div>Stroke is a common clinical cardiovascular and cerebrovascular disease, which can cause severe motor dysfunction. Therefore, it is an important topic to investigate the abnormality mechanism of the cerebral cortex and the corresponding muscles after stroke. In this study, we investigated the functional corticomuscular coupling (FCMC) at specific frequencies by analyzing differences between stroke patients and healthy controls in hand movements. The transfer spectral entropy (TSE) method was used to analyze simultaneous electroencephalography (EEG) and electromyography (EMG) in the right-hand steady state force task. The results illustrated that healthy subjects had the highest TSE values at the beta band in the EMG→EEG and EEG→EMG directions, and the TSE value in the EEG→EMG direction was higher than that in the EMG→EEG direction. In contrast, for stroke patients, beta band coupling was weakened, and there was a notably higher enhancement of alpha and gamma bands in the EMG→EEG direction relative to the EEG→EMG direction. Further analysis found significant correlations between TSE area values at beta2 and gamma2 bands and clinical rating scales. This study demonstrates the frequency specificity properties of FCMC estimated by TSE can assess the rehabilitation status of stroke patients and contribute to our comprehension of the potential mechanism of motor control systems.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"24 ","pages":"Article 100335"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538754","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":"Hotspots and emerging trend analysis of extracorporeal membrane oxygenation complication research: A qualitative systematic review of literature","authors":"Xiaowei Dong ,&nbsp;Yuan Li ,&nbsp;Zejian Jin ,&nbsp;Sheng Liu ,&nbsp;Zengsheng Chen","doi":"10.1016/j.medntd.2024.100342","DOIUrl":"10.1016/j.medntd.2024.100342","url":null,"abstract":"<div><div>As an effective extracorporeal life support technology, ECMO is mainly used in patients with acute cardiopulmonary failure, but it can still cause related complications such as thrombosis, bleeding, infection, and cannulation problems, seriously endangering patients' lives and health. This review used bibliometric methods to retrieve a total of 2789 relevant documents from 2003 to March 2023 from the core database of Web of Science, used CiteSpace to draw a knowledge map, and conducted publication trend analysis, subject journal analysis, keyword co-occurrence analysis, cluster analysis, timeline and time zone diagram analysis, emergent keyword analysis. Quantitatively and qualitatively analyze the research hotspots of ECMO and its complications, and then predict the development trend in this field. It aims to provide clinicians, scientists, and related practitioners with an overview of the latest research related to the optimal design of ECMO systems, avoidance and mitigation of complications, and provide directions for subsequent research.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"24 ","pages":"Article 100342"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697929","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":"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":"2024-12-01","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}