Health and Technology最新文献_第4页

An innovative 4.0 system to prevent the spreading of the diseases which threaten the globalized world 一个创新的4.0系统，以防止威胁全球化世界的疾病传播

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00773-z

Roberto Mosca, Marco Mosca, Roberto Revetria, Fabio Currò, Federico Briatore

{"title":"An innovative 4.0 system to prevent the spreading of the diseases which threaten the globalized world","authors":"Roberto Mosca, Marco Mosca, Roberto Revetria, Fabio Currò, Federico Briatore","doi":"10.1007/s12553-023-00773-z","DOIUrl":"https://doi.org/10.1007/s12553-023-00773-z","url":null,"abstract":"Abstract Purpose The purpose of this research is to provide an effective contribution to contrast the spread of Covid19. Therefore, the authors aimed to model a new strategy (technologies and processes), using the principles made available by Industry 4.0. Method The strategy consists in an IoT thermoscanner (developed by the authors, strategically placed throughout the settlement), and an innovative method of disinfection (achieved by redesigning the sanitization processes, using UV-C rays and gaseous Ozone produced by IoT machines, again conceptualized and developed by the authors, being capable of reproducing the Chapman Cycle and its associated benefits). This method was discussed in the article \"Sanitizing of Confined Spaces Using Gaseous Ozone Produced by 4.0 Machines,\" which was presented at the WCE 2021 IAENG Congress (Best Paper Award of the 2021 International Conference of Systems Biology and Bioengineering). Result The results consist in: 1. an absolute disinfection system based on a reversible cycle Oxygen-Ozone-Oxygen, with quick re-habitability of the treated rooms, at a minimum treatment costs, without expensive and harmful chemicals or moist water vapor (incompatible by nature with paper and electronics); 2. a 4.0 device for quick detection of fever; 3. clear processes for disease spread prevention. Conclusion The target contribution was widely achieved, providing machinery, processes and procedures. The authors aim now to extend the solution proposed to any other type virus, bacteria, or pathogen agent introduced by subjects who, despite being unaware of acting as vectors, develop infection along their stay in hotels, offices or any other public place.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134993821","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}

引用次数: 0

Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representation 利用深度视频表征从眼部注视模式量化帕金森病单侧受累

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00782-y

Juan Olmos, Brayan Valenzuela, Fabio Martínez

{"title":"Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representation","authors":"Juan Olmos, Brayan Valenzuela, Fabio Martínez","doi":"10.1007/s12553-023-00782-y","DOIUrl":"https://doi.org/10.1007/s12553-023-00782-y","url":null,"abstract":"Abstract Purpose Lateralisation of motor symptoms is a prevalent characteristic of Parkinson’s disease (PD). Hence, unilateral involvement is crucial for personalized treatments and measuring therapy effectiveness. Nonetheless, most motor symptoms, including lateralization, are mainly evident at advanced stages of the disease. Recently, ocular fixation instability emerged as a promising PD biomarker with a high sensitivity to discriminate PD. We hypothesize that unilateral involvement can be recovered from the assessment and quantification of PD-related ocular abnormalities. Methods This method proposes a computer-based strategy to quantify PD lateralization from ocular fixation patterns. The method follows a markerless strategy fed by slices with spatiotemporal eye movement information. A deep convolutional model was used to discriminate between PD and a control population. Additionally, model prediction probabilities were analyzed to select the dominant eye associated with unilateral involvement. Results The proposed approach reports an average accuracy of 91.92% classifying PD. Interestingly, using the dominant side, the approach achieves an average PD prediction probability of 93.3% (95% CI: [91.61,95.07]), evidencing capabilities to capture the most affected side. Besides, the reported results strongly correlate with the disease, even for patients categorized at early stages. A low-dimensional projection tool was used to support the classification results by finding a 2d space that eases the discrimination among classes. Conclusions The strategy is sensitive to detecting and classifying PD fixational patterns and determining the side with major impairments. This approach may be a potential tool to support the characterization of the disease and as an alternative to defining personalized treatments.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135637796","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}

引用次数: 0

Is medical device regulatory compliance growing as fast as extended reality to avoid misunderstandings in the future? 医疗器械法规遵从性的增长速度是否与扩展现实一样快，以避免未来的误解?

IF 2.5

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00775-x

F. Bini, Michela Franzo', A. Maccaro, Davide Piaggio, Leandro Pecchia, F. Marinozzi

引用次数: 0

Acceptance factors of digitalization in hospitals: a mixed-methods study 医院数字化接受因素的混合方法研究

IF 2.5

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00779-7

A. Burmann, Susann Schepers, Sven Meister

引用次数: 0

Electronic medical records and patient engagement: examining post-adoptive and non-adoptive behavior 电子医疗记录和患者参与:检查收养后和非收养行为

IF 2.5

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00778-8

Zeynep Altinay

引用次数: 0

Explainable and transparency machine learning approach to predict diabetes develop 可解释和透明的机器学习方法来预测糖尿病的发展

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00781-z

Francesco Curia

引用次数: 0

Physics audit of selected diagnostic X-Ray machines in Ghana: towards implementation of a national dosimetry audit programme 加纳选定诊断x射线机的物理审计:实施国家剂量学审计方案

IF 2.5

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00777-9

E. Sosu, M. Boadu, F. Hasford, S. Inkoom, S. Issahaku, T. Sackey, M. Pokoo-Aikins, T. Dery, E. Eduful, Linda Osei-Poku, L. A. Sarsah, K. O. Akyea-Larbi

引用次数: 0

The application of artificial intelligence: perceptions from healthcare professionals 人工智能的应用:来自医疗保健专业人员的看法

Health and Technology Pub Date : 2023-09-01 DOI: 10.1007/s12553-023-00780-0

Aishwarya Sonawane, Shrushti Shah, Suyog Pote, Mengying He

引用次数: 0

Occupational health professionals’ experiences with telehealth services: usage, perceived usefulness and ease of use 职业卫生专业人员远程保健服务的经验:使用情况、感知有用性和易用性

IF 2.5

Health and Technology Pub Date : 2023-08-30 DOI: 10.1007/s12553-023-00776-w

S. Nissinen, S. Pesonen, P. Toivio, E. Sormunen

引用次数: 0

Selecting the optimal transfer learning model for precise breast cancer diagnosis utilizing pre-trained deep learning models and histopathology images 利用预先训练的深度学习模型和组织病理学图像，为精确的乳腺癌诊断选择最佳的迁移学习模型

IF 2.5