{"title":"Evaluation of laboratory accuracy of forehead radiation thermometers using blackbody sources for tympanic thermometers defined by international standards with adaptors.","authors":"Li Wang, Choon Heng Goh","doi":"10.1080/03091902.2022.2096135","DOIUrl":"https://doi.org/10.1080/03091902.2022.2096135","url":null,"abstract":"<p><p>In view of the gaps between the current clinical thermometer standards and the commercially available products, in particular the introduction of forehead radiation thermometers into the market, ISO initiated a review on standard for clinical thermometers. The original clinical thermometer standard includes requirements for evaluating tympanic (ear) thermometers using identified reference blackbody sources. However, one of the challenges in reviewing the standard is to understand if the reference blackbody sources identified for ear thermometers are still usable for evaluating the laboratory accuracy of forehead thermometers. In order to answer this challenge, four brand new forehead thermometers from two different manufacturers are evaluated at NMC. Two reference blackbody sources, one JIS standard source with very small opening and one NMC source with larger opening, are used for the evaluation. In order to use JIS standard source, two types of adaptors, one supplied by one of the manufactures, one 3D printed, are evaluated. The measurement results together with their measurement uncertainties are presented and analysed. Suitable adaptors are identified and recommended.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"29-34"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10827346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Steven Lathers, Mahesh Krishnamoorthy, Nikhil Vasdev, Gary Tegan
{"title":"Distribution of surgical smoke particles within a simulated laparoscopic cavity utilizing an AirSeal<sup>®</sup> system.","authors":"Steven Lathers, Mahesh Krishnamoorthy, Nikhil Vasdev, Gary Tegan","doi":"10.1080/03091902.2022.2096134","DOIUrl":"10.1080/03091902.2022.2096134","url":null,"abstract":"<p><p>An exploratory study was performed to determine the distribution of surgical smoke particulate matter (SSPM) and evacuation times within an AirSeal<sup>®</sup> System and a traditional insufflation access system in various simulated surgical scenarios. Identified trends showed statistical significance when setting the AirSeal<sup>®</sup> System to Low smoke evacuation that it reduces the percentage of particulate matter at the Access Port opening. Additionally, it was observed that when utilising a laparoscopic tool a similar trend in particle distributions were seen between either insufflation and access system at the opening of the Access Port and trocar. Evacuation times for SSPM removal within the AirSeal<sup>®</sup> System showed an overall average to ≥95% reduction of 5.64 min within the surgical cavity, 3.69 min at the Access Port opening, and 3.61 min within the smoke evacuation line. The overall average for the traditional insufflation and access system was 9.38 min within the surgical cavity and 6.06 min at the trocar opening. Results showed that when using the traditional system compared to the AirSeal<sup>®</sup> System, it resulted in a percent change increase in evacuation times of 66.31% within the surgical cavity and 64.23% at the trocar opening.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"12-28"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10843741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Myller Augusto Santos Gomes, João Luiz Kovaleski, Regina Negri Pagani, Vander Luiz da Silva, Tatiana Cabreira de Severo Pasquini
{"title":"Transforming healthcare with big data analytics: technologies, techniques and prospects.","authors":"Myller Augusto Santos Gomes, João Luiz Kovaleski, Regina Negri Pagani, Vander Luiz da Silva, Tatiana Cabreira de Severo Pasquini","doi":"10.1080/03091902.2022.2096133","DOIUrl":"https://doi.org/10.1080/03091902.2022.2096133","url":null,"abstract":"<p><p>In different studies in the field of healthcare, big data analytics technology has been shown to be effective in observing the behaviour of data, of which analysed to allow the discovery of relevant insights for strategy and decision making. The objective of this study is to present the results of a systematic review of the literature on big data analytics in healthcare, focussing in technologies, main areas and purposes of adoption. To reach its objective, the study conducts an exploratory research, through a systematic review of the literature, using the Methodi Ordinatio protocol supported by content analysis. The results reveal that the use of tools implies work performance at the clinical and managerial level, improving the cost-benefit ratio and reducing the time factor in the practice of the workforce in health services. Thus, this study hopes to contribute to the technological advancement of computational intelligence applied to healthcare.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10475641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Valve interstitial cells under impact load, a mechanobiology study.","authors":"Dylan Goode, Ruby Dhaliwal, Hadi Mohammadi","doi":"10.1080/03091902.2022.2097328","DOIUrl":"https://doi.org/10.1080/03091902.2022.2097328","url":null,"abstract":"<p><p>Understanding the relationship between mechanobiology and the biosynthetic activities of the valve interstitial cells (VICs) in health and disease under severe dynamic loading conditions is of particular interest. The purpose of this study is to further understand the mechanobiology of heart valve leaflet tissue and the VICs under impact forces. Two novel computational and experimental platforms were developed to study the effect of impact load on the VICs to monitor for apoptosis. The first objective was to design and develop an apparatus to experimentally study viability (apoptosis) of the porcine heart valve leaflet tissue VICs in the aortic position under controlled impact forces. Apoptosis was assessed based on terminal transferase dUTP nick end-labelling (TUNEL) assay. The second objective was to develop a computational platform to estimate the stress and strain fields in the vicinity of VICs when the tissue experiences impact forces. A nonlinear finite element (FE) model with an anisotropic, hyperelastic and heterogeneous material model for the matrix and cells was developed. Preliminary results confirm that interstitial cells are successfully resistant to impact loads up to 30 times more than normal physiological conditions. Additionally, the structure and composition of heart valve leaflet tissue provides a mechanical shield for VICs protecting them from excessive mechanical forces such as impact loads. Although, the entire tissue may experience excessive stresses, which may lead to structural damage, the stresses around and near VICs remain consistency low. Results of this study may be used for heart valve leaflet tissue-engineering, as well as further understanding the mechanobiology of the VICs in health and disease.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"54-66"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10475644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease.","authors":"Nancy Noella R S, Priyadarshini J","doi":"10.1080/03091902.2022.2097326","DOIUrl":"https://doi.org/10.1080/03091902.2022.2097326","url":null,"abstract":"<p><p>Dementia is a general term used to indicate any disorder related to human memory. The various memory-related problems severely affect the human brain and so the individual feels difficulty in doing their normal physical as well as mental activities. There are different types of dementia that exist, but the commonly seen and fatal types of dementia are Alzheimer's disease (AD) and Parkinson's disease (PD). In this paper different efficient Machine Learning Techniques are selected analysed their behaviours in the diagnosis of AD and PD using Positron Emission Tomography (PET). The PET image dataset used in this work consists of 1050 images with AD, PD and Healthy Brain images. The total number of images is split into two different categories in the ratio of 7:3 for training and testing respectively. The different machine learning classifiers used are Bagged Ensemble, ID3, Naive Bayes and Multiclass Support Vector Machine. The classification of the AD and PD with the reference of a healthy brain is done by comparing the input image with the trained samples in the PET image database. In the comparison of trained samples with the input image for the PET images, the bagged ensemble learning classifier worked better than the other classification algorithms and yielded an accuracy of 90.3%.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"35-43"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10843775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Otisma: an integrated application and humanoid robot as an educational tool for children with autism.","authors":"Rayane Bouhali, Haniah Al-Tabaa, Sarah Abdelfattah, Manar Atiyeh, Seyed Esmaeili, Hanan Al-Tabbakh","doi":"10.1080/03091902.2022.2097327","DOIUrl":"https://doi.org/10.1080/03091902.2022.2097327","url":null,"abstract":"<p><p>Autistic children have difficulty communicating wants, needs, and thoughts. In cases of low functioning autism, an individual can have serious speech and language disabilities. In response to the need of parents and therapists dealing with autistic children, social robots have been developed and incorporated into assisting children with autism. Research studies have proved the possibility of improving autistic children's lives using social robots. However, not any social robot can successfully fulfil this task, since autistic children are sensitive to certain behaviours, shapes, and colours. The proposed integrated application and humanoid robot, Otisma has been designed and developed after an intensive literature research. Otisma can be used as an educational and communicational tool with autistic children. Otisma aids educators by using applied behaviour analysis (ABA) which is a scientifically validated method that helps autistic children work through areas of severe developmental delay, like language and nonverbal communication. Different lessons can be explored using an application that is controlled by the therapist. Otisma is an efficient educational tool that facilitates the learning process to maximise social skills for children with autism. Otisma is portable, affordable, user friendly, and can be equally used by therapists in clinics or parents at home.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"44-53"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10827331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A review of medical wearables: materials, power sources, sensors, and manufacturing aspects of human wearable technologies.","authors":"Mohammad Y Al-Daraghmeh, Richard T Stone","doi":"10.1080/03091902.2022.2097743","DOIUrl":"https://doi.org/10.1080/03091902.2022.2097743","url":null,"abstract":"<p><p>Wearable technology is a promising and revolutionary technology that is changing some aspects of our standard of living to a great extent, including health monitoring, sport and fitness, performance tracking, education, and entertainment. This article presents a comprehensive literature review of over 160 articles related to state-of-the-art human wearable technologies. We provide a thorough understanding of the materials, power sources, sensors, and manufacturing processes, and the relationships between these to capture opportunities for enhancement and challenges to overcome in wearables. As a result of our review, we have determined the need for the development of a comprehensive, robust manufacturing system alongside specific standards and regulations that take into account wearables' unique characteristics. Seeing the whole picture will provide a frame reference and road map for researchers and industries through the design, manufacturing, and commercialisation of effective, portable, self-powered, multi-sensing ultimate future wearable devices and create opportunities for new innovations and applications.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"47 1","pages":"67-81"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10468985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"News and product update.","authors":"","doi":"10.1080/03091902.2022.2153516","DOIUrl":"https://doi.org/10.1080/03091902.2022.2153516","url":null,"abstract":"Manufacturers are invited to send details of new products to be included in this section. All information supplied should be strictly factual. The text may be altered by the editors. There is no charge to the manufacturers of products featured in this section and the journal accepts no responsibility for the accuracy of the information provided. Please send details to Dr J. Fenner, Associate Editor (JMET), Medical Physics (Dept. Infection, Immunity and Cardiovascular Disease), Faculty of Medicine Dentistry and Health, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK. E-mail: j.w.fenner@sheffield.ac.uk.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10749240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"News and product update","authors":"","doi":"10.1080/03091902.2022.2116218","DOIUrl":"https://doi.org/10.1080/03091902.2022.2116218","url":null,"abstract":"Manufacturers are invited to send details of new products to be included in this section. All information supplied should be strictly factual. The text may be altered by the editors. There is no charge to the manufacturers of products featured in this section and the journal accepts no responsibility for the accuracy of the information provided. Please send details to Dr J. Fenner, Associate Editor (JMET), Medical Physics (Dept. Infection, Immunity and Cardiovascular Disease), Faculty of Medicine Dentistry and Health, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK. E-mail: j.w.fenner@sheffield.ac.uk.","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":"46 1","pages":"703 - 706"},"PeriodicalIF":0.0,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49275177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pallavi Sachdeva, Ashrit R M, Rahul Shukla, Ashish Sahani
{"title":"A review on artificial pancreas and regenerative medicine used in the management of Type 1 diabetes mellitus.","authors":"Pallavi Sachdeva, Ashrit R M, Rahul Shukla, Ashish Sahani","doi":"10.1080/03091902.2022.2095049","DOIUrl":"https://doi.org/10.1080/03091902.2022.2095049","url":null,"abstract":"<p><p>Diabetes mellitus is one of the fastest-growing lifestyle disorders in the world. While numerous regimes have been developed to manage diabetes, there continue to be high numbers of diabetes-related deaths worldwide. The review gives a brief introduction to the pathology and aetiology of the disorder, different solutions developed over time with their advantages and disadvantages, and highlights the technological components and challenges of the latest technologies: artificial pancreas and regenerative medicine. The study is restricted to a set of high-quality publications from the last decade.</p>","PeriodicalId":39637,"journal":{"name":"Journal of Medical Engineering and Technology","volume":" ","pages":"693-702"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40572588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}