Avery Foote, Emma de Waal, Frederico Caiado, Amr Samman, Arkadiy Ukolov
{"title":"A comprehensive review of deep brain stimulation for Parkinson's disease: The history, current state of the art and future possibilities","authors":"Avery Foote, Emma de Waal, Frederico Caiado, Amr Samman, Arkadiy Ukolov","doi":"10.1016/j.medntd.2025.100362","DOIUrl":"10.1016/j.medntd.2025.100362","url":null,"abstract":"<div><div>Parkinson's Disease (PD) is a neurodegenerative condition that results in the death of dopamine-producing neurons that mainly affects the motor cortex and causes such symptoms as tremors and difficulty speaking. White early treatments for PD included ablative and stereotactic surgeries, the precise destruction of specific brain structures, these lost favor with the emergence of levodopa in the second half of the 20th century. Nevertheless, the shortcomings of this drug, such as the reduced patient sensitivity to the treatment, sparked a new interest in surgical procedures, which in turn gave rise to the Deep Brain Stimulation (DBS) technology. In this paper, we explore the history of PD treatments with a focus on DBS, as well as the developments and advancements of the technology, including innovations in software, hardware and targeting techniques. We highlight the state of the art of PD treatment and outline future possibilities in this field.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100362"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760541","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}
Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu
{"title":"Mandarin speech reconstruction from surface electromyography based on generative adversarial networks","authors":"Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu","doi":"10.1016/j.medntd.2025.100359","DOIUrl":"10.1016/j.medntd.2025.100359","url":null,"abstract":"<div><div>The loss of speech function due to conditions such as laryngectomy and vocal cord paralysis significantly impacts the quality of life for patients. Achieving effective communication for these patients is a goal pursued by researchers. This study primarily explores a method for reconstructing Mandarin speech based on voice-related neck and facial surface electromyography (sEMG). Neck and facial sEMG signals and speech waveform were synchronously collected during normal speech production. A speech reconstruction model for Mandarin speech, based on multi-scale feature extraction from EMG and a generative adversarial network (GAN), was developed. Both subjective and objective evaluations were conducted to assess the speech reconstruction performance of the model. The evaluation results indicate that the model effectively reconstructs speech from neck and facial sEMG signals. The reconstructed speech closely matches the original in terms of spectrogram and fundamental frequency, with mel-cepstrum distortion of 8.45 dB, log F0 RMSE of 0.40, F0 correlation coefficient of 0.71 and F0 voiced/unvoiced estimation accuracy of 0.80. The character error rate of the reconstructed speech is 0.32, while the tone error rate is 0.26. The subjective listening test results show that the naturalness of the reconstructed speech is acceptable, with a mean opinion score greater than 3. This study demonstrates the potential of deep learning techniques in effectively reconstructing Mandarin speech from sEMG.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619501","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}
Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan
{"title":"A review of evaluation methods for Duchenne muscular dystrophy","authors":"Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan","doi":"10.1016/j.medntd.2025.100358","DOIUrl":"10.1016/j.medntd.2025.100358","url":null,"abstract":"<div><div>In recent years, the study of body movement performance in disease assessment has attracted significant attention. Duchenne Muscular Dystrophy (DMD) is a disease that significantly affects mobility. It is crucial to assess the movement of both the upper and lower limbs to diagnose this condition effectively. This research categorizes DMD assessment methods into two types: human-based assessments (based on questionnaires) and Machine-based assessments (using motion tracking and computer algorithms). The validity of human-based assessments, which often focus on daily activities and muscle strength, may be called into question. This issue underscores the necessity of utilizing qualitative and observational methods to achieve more accurate assessments. In contrast, Machine-based assessment have benefited from recent technological advancements that enable innovative techniques for disease evaluation, thereby improving the accuracy and validity of DMD diagnosis. The integration of motion tracking systems with artificial intelligence algorithms mitigates the limitations of visual and subjective assessments, providing more precise and objective results. These advancements aim to enhance the accuracy, reliability, and validity of DMD diagnosis while offering a more comprehensive approach to assessing individuals with the condition. In this study, the existing assessment methods in both categories are introduced and compared, analyzing their advantages and limitations to provide an accurate evaluation of their performance in diagnosing DMD. The aim of this review is to identify the best methods for diagnosing and monitoring DMD based on accuracy, reliability, and efficiency.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642422","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(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}
Chi Zhang , Yaowen Dong , Tongxi Liu , Jin She , Jian Yang , Deyu Li , Sheng Xie
{"title":"Estimating pulmonary arterial pressure from 4D flow images","authors":"Chi Zhang , Yaowen Dong , Tongxi Liu , Jin She , Jian Yang , Deyu Li , Sheng Xie","doi":"10.1016/j.medntd.2025.100354","DOIUrl":"10.1016/j.medntd.2025.100354","url":null,"abstract":"<div><div>The non-invasive method for estimating the pulmonary arterial pressure (PAP) plays an important role in the screening and diagnosis of pulmonary arterial hypertension (PAH). We aimed to establish a phase-contrast magnetic resonance imaging (PC-MRI) based method to estimate PAP. Through analyzing a patient's morphologic and hemodynamic features, this method could be used to identify PAH, and provide diagnostic and grading information for PAH. We selected 39 study participants, comprising 18 healthy volunteers and 21 patients with PAH. Morphologic and hemodynamic parameters of each participant's pulmonary arteries were obtained from 4D Flow images. Hemodynamic features were performed selected by principal component analysis (PCA). PAH identification model was built with binary logistic regression. Furthermore, A multiple linear regression (MLR) model was developed to estimate PAP, the accuracy of which was evaluated by comparing it with the value measured by right heart catheterization (RHC). PAH identification was achieved with high accuracy, using the features of pulmonary arterial morphology or blood flow velocity (BFV). Compared with RHC, MLR results showed that using pulmonary arterial morphology and BFV features in combination can greatly improve the accuracy of PAP estimation. Our results showed that the mean relative error of PAP estimation in PAH patients could reach <10 %. A highly accurate PC-MRI based method for PAH identification and PAP estimation was successfully established. Using hemodynamic features of the pulmonary artery could improve PAP estimation accuracy, which highlights the importance of hemodynamic evaluation of pulmonary arteries in the screening and diagnosis of PAH.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100354"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520107","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":"Differences in gait dynamic stability of healthy subjects due to age, body mass, height, BMI, and walking speed","authors":"Anam Raza , Imran Mahmood , Tayyaba Sultana , Salma Sultana","doi":"10.1016/j.medntd.2025.100355","DOIUrl":"10.1016/j.medntd.2025.100355","url":null,"abstract":"<div><div>Gait deformities are usually assessed by comparing patients' data with healthy subjects. However, the variability among healthy subjects due to age, body mass, height, BMI, and walking speed could influence the baseline data and hence rehabilitation measurements. Recent studies reported gait variability among healthy subjects considering age as a variant. The independent effect of other variants such as body mass, height, BMI, and walking speed on variability in the baseline data has remained unknown, hence investigated in this study. The centre of pressure signals collected from 205 male subjects was categorised for each of the mentioned five variants. Gait variability was evaluated in terms of walking stability. The centre of pressure signals was analysed by applying Nyquist and Bode methods to compute walking stability during the gait loading and unloading phases. A statistical comparison (one-way ANOVA, p < 0.05) revealed significant variability in the baseline data for variables (age, height, walking speed) during the loading phase and in the anterior-posterior direction. In the medial-lateral direction, these differences were observed as significant during both loading (age, body mass, speed) and unloading phases (age, body mass, height). Overall, the subgroups in respective variants i.e. age: 27 ± 0.8yr, body mass: 73 ± 0.4 kg, height: 177 ± 0.5 cm, and walking speed: 1.42 ± 0.01 m/s exhibited relatively higher stability. Further, the Pearson correlation illustrated a signification stability relationship between body mass and other variants. This study provides evidence that the diversity in the healthy subjects’ composition can cause uncertainty in diagnostic and rehabilitation measurements, which is important to consider in gait evaluations.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100355"},"PeriodicalIF":0.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520108","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 , Rishabha Malviya , Dhanalekshmi Unnikrishnan Meenakshi , 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":"2025-02-01","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":"The history, current state and future possibilities of the non-invasive brain computer interfaces","authors":"Frederico Caiado, 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":"2025-02-01","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":"Diabetes mellitus: The pathophysiology as a canvas for management elucidation and strategies","authors":"Franklyn Nonso Iheagwam , 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":"2025-01-30","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":"Development and validation of a multiplex RT-qPCR method for the simultaneous detection of influenza type A, B and SARS-COV-2 viruses","authors":"Samira Karimkhani , Ehsan Lotfi , Fatemeh Karamali , Mahsa DarestaniFarahani , Reza Keikha , Mahmood Barati","doi":"10.1016/j.medntd.2025.100350","DOIUrl":"10.1016/j.medntd.2025.100350","url":null,"abstract":"<div><div>The study aimed to evaluate the diagnosis between SARS-COV-2 and influenza viruses using the Multiplex qPCR molecular method, highlighting the importance of these methods in disease management.</div><div>In this study, primers and probes were designed for the hemagglutinin region (HA) of influenza A, the M region of influenza B virus, and the RdRp region of SARS-COV-2. Optimization was performed using qPCR methods, and the method's analytical sensitivity and specificity were assessed. Finally, the process was compared to the commercial kit, Generi-Biotech Company (GB SARS-CoV-2 Influenza A/B).</div><div>The best annealing temperature for this method was determined to be 58 °C. Analytical sensitivity showed detection limits of 500 copies of the virus genome for SARS-CoV-2, 250 copies for influenza A, and 500 copies for influenza B. Clinical evaluations confirmed that the designed kit exhibited 100 % sensitivity and specificity, identical to the GB commercial kit, establishing its comparable diagnostic performance.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"25 ","pages":"Article 100350"},"PeriodicalIF":0.0,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143159481","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}