Vision Based Health Monitoring

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Deep learning-based structural health monitoring - ScienceDirect

(7 days ago) WEBThis article provides a comprehensive review of deep learning-based structural health monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and applications including nondestructive approaches; computer vision-based …

https://www.sciencedirect.com/science/article/pii/S0926580524000645

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Computer Vision for Structural Dynamics and Health Monitoring

(2 days ago) WEBProvides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring. This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of

https://onlinelibrary.wiley.com/doi/book/10.1002/9781119566557

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Vision-Based Patient Monitoring and Management in Mental …

(3 days ago) WEBSuccessful adoption of novel noncontact physiological measurement and physical monitoring requires analysis of how they support patient care. We review available technologies and present our vision-based patient monitoring and management system, supported by a framework enabling its integration within clinical workflows.

https://journals.lww.com/jcejournal/Abstract/2021/01000/Vision_Based_Patient_Monitoring_and_Management_in.13.aspx

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Vision-based patient monitoring: a comprehensive review of …

(9 days ago) WEBVision-based monitoring for assisted living is gaining increasing attention, especially in multi-modal monitoring systems owing to the several advantages of vision-based sensors. Pantelopoulos A, Bourbakis NG (2010) A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans Syst Man Cybern …

https://link.springer.com/article/10.1007/s12652-015-0328-1

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Artificial Intelligence in Vision-Based Structural Health Monitoring

(6 days ago) WEBUnique Book Features: • Provide a comprehensive review of the rapidly expanding field of vision-based structural health monitoring (SHM) using artificial intelligence approaches. • Re-organize fundamental knowledge specific to the machine and deep learning in vision tasks. • Include comprehensive details about the procedure of conducting

https://link.springer.com/book/10.1007/978-3-031-52407-3

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Vision‐based real‐time marine and offshore structural health …

(4 days ago) WEBStructural health monitoring (SHM) plays an increasingly vital role in guaranteeing the operation success of marine and offshore (MO) structures while reducing their risks of structural failure. underwater monitoring robots, vision-based image processing and analyzing, and time-dependent damage assessing and early warning. …

https://onlinelibrary.wiley.com/doi/10.1111/mice.12993

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A review of computer vision–based structural health monitoring at …

(1 days ago) WEBStructural identification using computer vision–based bridge health monitoring. J Struct Eng 2018; 144: 04017202. Crossref. Google Scholar. 25. Zaurin R, Catbas F. Structural health monitoring using video stream, influence lines, and statistical analysis. Struct Heal Monit 2010; 10: 309–332.

https://journals.sagepub.com/doi/abs/10.1177/1475921720935585

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A framework for computer vision-based health monitoring of a …

(9 days ago) WEBComputer vision (CV) methods for measurement of structural vibration are less expensive, and their application is more straightforward than methods based on sensors that measure physical quantities at particular points of a structure. However, CV methods produce significantly more measurement errors. Thus, computer vision-based …

https://link.springer.com/article/10.1007/s11803-023-2154-3

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A Review of Machine Vision-Based Structural Health Monitoring

(9 days ago) WEBIn the past two decades, a significant number of innovative sensing and monitoring systems based on the machine vision-based technology have been exploited in the field of structural health monitoring (SHM). This technology has some inherent distinctive advantages such as noncontact, nondestructive, long distance, high precision, immunity …

https://www.hindawi.com/journals/js/2016/7103039/

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A review of computer vision–based structural health monitoring at …

(Just Now) WEBA general overview of the concepts, approaches, and real-life practice of computer vision–structural health monitoring along with some relevant literature that is rapidly accumulating is presented. Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health …

https://www.semanticscholar.org/paper/A-review-of-computer-vision%E2%80%93based-structural-health-Dong-Catbas/08cc923c0386cdc92630bcc3cb00a337a0d91212

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Vision‐based multipoint displacement measurement for structural …

(6 days ago) WEBThe results of structural modal analysis based on the measurements by the vision sensor and reference accelerometers also agree well. Moreover, the identified modal parameters are used to update the finite element model of the structure, demonstrating the potential of the vision sensor for structural health monitoring applications.

https://onlinelibrary.wiley.com/doi/abs/10.1002/stc.1819

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A Review of Computer Vision-Based Structural Deformation …

(1 days ago) WEBComputer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision deformation monitoring systems towards …

https://www.mdpi.com/1424-8220/22/10/3789

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(PDF) A review of computer vision–based structural health …

(Just Now) WEBA review of computer vision–based structural health monitoring at local and global levels. July 2020. Structural Health Monitoring 20 (2):147592172093558. DOI: 10.1177/1475921720935585. Authors

https://www.researchgate.net/publication/343101694_A_review_of_computer_vision-based_structural_health_monitoring_at_local_and_global_levels

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Sensors Free Full-Text Vision-Based Tunnel Lining Health …

(1 days ago) WEBTunnel structural health inspections are predominantly done through periodic visual observations, requiring humans to be physically present on-site, possibly exposing them to hazardous environments. These surveys are subjective (relying on the surveyor experience), time-consuming, and may demand operation shutdown. These …

https://www.mdpi.com/1424-8220/21/12/4040

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Structural Identification Using Computer Vision–Based Bridge …

(Just Now) WEBAbstractThis paper presents a new structural identification (St-Id) framework along with a damage indicator, displacement unit influence surface using computer vision–based measurements for bridge health monitoring. Unit influence surface (UIS) of …

https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29ST.1943-541X.0001925

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Intelligent Diagnosis of Concrete Defects Based on Improved …

(1 days ago) WEBWith the rapid development of artificial intelligence, computer vision techniques have been successfully applied to concrete defect diagnosis in bridge structural health monitoring. To enhance the accuracy of identifying the location and type of concrete defects (cracks, exposed bars, spalling, efflorescence and voids), this paper …

https://www.mdpi.com/2076-3417/14/10/4148

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Looking Ahead: Improving Our Vision for the Future Vision …

(8 days ago) WEBCDCʼs Vision Health Initiative. Assesses the impact of vision loss and identifies populations at risk. Uses applied public health research to develop evidence-based interventions and understand the costs of vision loss. Aims to increase awareness of vision and eye health, improve access to vision care, and promote the health of …

https://www.cdc.gov/vision-health/data-research/vision-loss-facts/improving-vision-for-future.html

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The Benefits of AI in Healthcare IBM

(7 days ago) WEBThey can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems. AI solutions—such as big data applications, machine learning algorithms and deep learning algorithms—might also be used to help humans analyze large data sets to help clinical and other decision-making. AI might also

https://www.ibm.com/think/insights/ai-healthcare-benefits

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Multiattribute multitask transformer framework for vision‐based

(4 days ago) WEBUsing deep learning (DL) to recognize building and infrastructure damage via images is becoming popular in vision-based structural health monitoring (SHM). However, many previous studies solely work on the existence of damage in the images and directly treat the problem as a single-attribute classification or separately focus on finding the

https://onlinelibrary.wiley.com/doi/10.1111/mice.13067

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Glaucoma Vision and Eye Health Surveillance System CDC

(9 days ago) WEBDiagnosed glaucoma. VEHSS reports the annual prevalence of diagnosed glaucoma identified based on the presence of International Classification of Diseases (ICD)-9 and ICD-10 codes in patient claims or electronic health record (EHR) systems. Patients with one or more diagnosis codes associated with a VEHSS subgroup are …

https://www.cdc.gov/vision-health-data/case-definitions/glaucoma.html

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Age-Related Macular Degeneration (AMD) Vision and Eye Health

(7 days ago) WEBThe VEHSS prevalence estimate of AMD is CDC’s primary estimate of the prevalence of AMD in the United States. These estimates are generated by combining multiple sources of data available in VEHSS, including National Health and Nutrition Examination Survey (NHANES) graded retinal images, abstracted data from published …

https://www.cdc.gov/vision-health-data/case-definitions/age-related-macular-degeneration-amd.html

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A lightweight convolutional neural network for multipoint

(Just Now) WEBEmerging computer vision measurement methods overcome the limitations of traditional sensors. However, conventional digital image processing algorithms encounter issues of low precision and timeliness when performing vibration displacement measurements in complex operating conditions. Therefore, this paper builds a deep …

https://link.springer.com/article/10.1007/s11071-024-09673-x

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These are the Vision Pro apps Apple says will transform healthcare

(7 days ago) WEB"With the ability to transform a user's space, display 3D objects at life-size, and see all relevant data in one view, the opportunities for health developers to use Apple Vision Pro to help

https://www.zdnet.com/article/these-are-the-vision-pro-apps-apple-says-will-transform-healthcare/

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Vision‐based algorithms for damage detection and localization in

(7 days ago) WEBVision-based algorithms for damage detection and localization in structural health monitoring. Ziemowit Dworakowski, Corresponding Author. Ziemowit Dworakowski. In this paper, a vision-based method applied for in-plane displacement field measurement of cantilever beams is presented. The deflection curve of the analyzed structure is …

https://onlinelibrary.wiley.com/doi/full/10.1002/stc.1755

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Patients staying connected by wearing monitoring devices

(Just Now) WEBNutanben Gandhi, a technician who was watching 446 patients on her monitor that morning, said when she gets an alert, she looks at the patient’s health record to see if the anomaly can be easily

https://fortune.com/well/2024/05/06/artificial-intelligence-wearable-call-button-hospital/

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An Intelligent Non-Invasive Blood Pressure Monitoring System …

(9 days ago) WEBHypertension is a common cause of cardiovascular diseases, closely associated with the high mortality and disability rates of cardiovascular diseases such as stroke and coronary heart disease. Therefore, developing a comfortable and sustainable device for monitoring human pulse signals holds practical significance for the …

https://www.mdpi.com/2072-666X/15/5/659

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Electronic Health Record–Based Algorithm for Monitoring …

(4 days ago) WEBWe used the Electronic Medical Record Support for Public Health (ESP, https://www.esphealth.org) public health surveillance platform to develop the RAVIOLI algorithm.ESP is open-source software that uses automated daily extracts of EHR data to identify and report conditions of public health interest to health departments …

https://wwwnc.cdc.gov/eid/article/30/6/23-0473_article

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Diabetic Retinopathy (DR) Vision and Eye Health Surveillance …

(1 days ago) WEBDiagnosed DR. VEHSS reports the annual prevalence of diagnosed diabetic eye diseases based on the presence of International Classification of Diseases (ICD)-9 and ICD-10 codes in patient claims or electronic health record (EHR) systems. Patients with one or more diagnosis codes associated with a VEHSS subgroup are assigned to that …

https://www.cdc.gov/vision-health-data/case-definitions/diabetic-retinopathy.html

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A vision for global eDNA-based monitoring in a changing world

(6 days ago) WEBEnvironmental DNA (eDNA) has opened promising avenues for establishing standardized, cost-efficient monitoring of biodiversity. However, comprehensive and systematic implementation is urgently needed to address the current biodiversity crisis. Here, Thomsen et al. envision a global eDNA biomonitoring scheme, which could …

https://www.cell.com/cell/fulltext/S0092-8674(24)00444-6

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Vision‐based displacement measurement using an unmanned …

(7 days ago) WEBVision-based displacement measurement for structural health monitoring has gained popularity in recent years but still has several limitations in practical applications. Unmanned aerial vehicles (UAVs) provide opportunities to address the bottleneck problems of camera resolution insufficiency and mounting inconvenience due to their high

https://onlinelibrary.wiley.com/doi/full/10.1002/stc.3025

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CDC bird flu dashboard tracks virus' spread: What else the data …

(9 days ago) WEBThe U.S. Department of Health and Human Services also will spend $101 million on testing and prevention efforts, while the CDC will spend $93 million to expand testing and monitoring of the virus

https://www.usatoday.com/story/news/health/2024/05/16/cdc-dashboard-bird-flu/73712504007/

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A multisource data‐driven monitoring model for assessing …

(9 days ago) WEBHere, we propose a novel monitoring model comprising three main aspects: a multidimensional data mining method, a multipoint response prediction method, and a multilayer data fusion-based assessment method. Utilizing monitoring data from a mega concrete arch dam, we evaluate and discuss the effects of data mining, modeling …

https://onlinelibrary.wiley.com/doi/full/10.1111/mice.13232

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