scholarly journals Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation

2008 ◽  
Vol 17 (01) ◽  
pp. 64-66
Author(s):  
H. Müller ◽  
Keyword(s):  
Medical Informatics ◽  
Review Process ◽  
Wearable Sensors ◽  
Imaging Informatics ◽  
Research Field ◽  
Biomedical Literature ◽  
Brain Shift ◽  
Computer Interfaces ◽  
The Impact ◽  
Selection Of

Summary Objectives To summarize current research in the field of sensors, signals, and imaging in medicine and the impact of it in the medical informatics field through the selection of important and representative papers. Methods Survey of the 2007 biomedical literature in the area of sensors, signals, and imaging informatics. Results The review process of many candidate papers reflects the large variety of this research field. Four articles were finally selected with the help of the reviewers representing the important domains of brain-computer interfaces, brain shift correction, computer-aided interventions, and wearable sensors. Conclusions The four selected papers show the wide variety in medical informatics research concerning sensors, signals, and images. Imaging and signal research becomes increasingly broad and the number of techniques available and used in clinical practice is enormous and constantly increasing. The selected articles can only present a few highlights and many important topics had to be left out of this overview.

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-124
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

scholarly journals Evolutionary Multitasking-Based Multiobjective Optimization Algorithm for Channel Selection in Hybrid Brain Computer Interfacing Systems

2021 ◽  
Vol 15 ◽  
Author(s):  
Tianyu Liu ◽  
Zhixiong Xu ◽  
Lei Cao ◽  
Guowei Tan
Keyword(s):  
Multiobjective Optimization ◽  
Real Life ◽  
Channel Selection ◽  
Research Field ◽  
Neural Engineering ◽  
Computer Interfaces ◽  
Classification Tasks ◽  
Optimization Methodology ◽  
Brain Computer Interfacing ◽  
Selection Of

Hybrid-modality brain-computer Interfaces (BCIs), which combine motor imagery (MI) bio-signals and steady-state visual evoked potentials (SSVEPs), has attracted wide attention in the research field of neural engineering. The number of channels should be as small as possible for real-life applications. However, most of recent works about channel selection only focus on either the performance of classification task or the effectiveness of device control. Few works conduct channel selection for MI and SSVEP classification tasks simultaneously. In this paper, a multitasking-based multiobjective evolutionary algorithm (EMMOA) was proposed to select appropriate channels for these two classification tasks at the same time. Moreover, a two-stage framework was introduced to balance the number of selected channels and the classification accuracy in the proposed algorithm. The experimental results verified the feasibility of multiobjective optimization methodology for channel selection of hybrid BCI tasks.

scholarly journals Selection of the set of areal units for economic regional research on the land use: a proposal for Aggregation Problem solution

2021 ◽  
pp. 222-234
Keyword(s):  
Spatial Data ◽  
Research Field ◽  
Point Of View ◽  
Added Value ◽  
Necessary Condition ◽  
Problem Solution ◽  
Scientific Disciplines ◽  
Aggregation Problem ◽  
The Impact ◽  
Selection Of

The knowledge of the spatial development of phenomena is crucial in the case of research in economics, geological survey, mining, earth resources and geography. In the literature one can diagnose an important methodological and implementation gap concerning the selection of the set of areal units within the Aggregation Problem. The issue relates to determining boundaries of areal units (regions), whose properties are described by spatial data. The boundaries of areas should be established in such a way that a given analyzed phenomenon is influenced by the same main causes. Only in this case, the analyzed spatial data will properly reflect the impact of main causes, the properties of phenomena and dependencies between them. This means that determining the proper boundaries of areas is a necessary condition for receiving correct conclusions (e.g. delimiting metropolitan areas, assessing mineral resource potential and deposits, or assessing the dynamics of surface processes). From this perspective, the main objective of the article is presenting the proposal for solving the Aggregation Problem, where as the case study the economic analysis of agrarian resources and structure is used. The solution to the problem will lead to establishing the system of macroregions, where the obtained proposal of a system of four sets of areal units is important from the point of view of spatial research. The main added value of the research and its specific contribution to the literature is based on the fact that the proposed solution to the Aggregation Problem can be considered as universal, which is not limited to selected scientific disciplines. The methodology presented in the article can be effectively applied to other spatial research in the field of geology and mining, where the most appropriate research field is the issue of locating areas with appropriate properties or areas which are affected by given analised phenomena.

scholarly journals Sensors, Medical Images and Signal Processing:

2011 ◽  
Vol 20 (01) ◽  
pp. 92-95 ◽  
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Study Design ◽  
Medical Images ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Excellent Research ◽  
Imaging Research ◽  
Selection Of

SummaryTo summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2010.Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2011.Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. When compared to research on sensors and signals, imaging research represent the majority of published papers in 2010. Research published in 2010 was characterized by an increased participation of the clinicians in the study design, implementation and validation of computerized diagnosis aid tools.The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field.

scholarly journals Sensors, Medical Images and Signal Processing:

2010 ◽  
Vol 19 (01) ◽  
pp. 43-46 ◽  
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Field Research ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Input And Output ◽  
Output Quality ◽  
Excellent Research ◽  
Selection Of

Summary Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics. Method: Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2010. Results: Current research in the field of sensor, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. Conclusions: The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field. Research published in 2009 was characterized by the emergence of mature computerized diagnosis aid frameworks with assessment of input and output quality. The purpose of these systems is clearly to bring new image and signal interpretation tools to clinicians.

scholarly journals Sensor, Signal, and Imaging Informatics in 2017

2018 ◽  
Vol 27 (01) ◽  
pp. 110-113 ◽  
Author(s):  
William Hsu ◽  
Thomas Deserno ◽  
Charles Kahn ◽  
Keyword(s):  
Medical Informatics ◽  
Imaging Informatics ◽  
Machine Learning Techniques ◽  
Sensor Signal ◽  
Imaging Data ◽  
Scientific Publications ◽  
Learning Techniques ◽  
Final Selection ◽  
Selection Of

Objective: To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017. Methods: PubMed® and Web of Science® were searched to identify the scientific publications published in 2017 that addressed sensors, signals, and imaging in medical informatics. Fifteen papers were selected by consensus as candidate best papers. Each candidate article was reviewed by section editors and at least two other external reviewers. The final selection of the four best papers was conducted by the editorial board of the International Medical Informatics Association (IMIA) Yearbook. Results: The selected papers of 2017 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growth of signal and imaging data and the increasing power of machine learning techniques have engendered new opportunities for research in medical informatics. This synopsis highlights cutting-edge contributions to the science of Sensor, Signal, and Imaging Informatics.

Medical Imaging Informatics and Medical Informatics: Opportunities and Constraints

2002 ◽  
Vol 41 (02) ◽  
pp. 183-189 ◽  
Author(s):  
C. Kulikowski ◽  
A. Bohne ◽  
K. Ganser ◽  
R. Haux ◽  
P. Knaup ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Medical Informatics ◽  
Health Information Systems ◽  
Imaging Informatics ◽  
Lessons Learned ◽  
Knowledge Processing ◽  
Challenges And Opportunities ◽  
Supported Education ◽  
Medical Imaging Informatics ◽  
Selection Of

Summary Objectives: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of recent excellent papers on medical informatics research (http://www.yearbook.uni-hd.de). The 2002 Yearbook of Medical Informatics took as its theme the topic of Medical Imaging Informatics. In this paper, we will summarize the contributions of medical informatics researchers to the development of medical imaging informatics, discuss challenges and opportunities of imaging informatics, and present the lessons learned from the IMIA Yearbook 2002. Results and Conclusions: Medical informatics researchers have contributed to the development of medical imaging methods and systems since the inception of this field approximately 40 years ago. The Yearbook presents selected papers and reviews on this important topic.In addition, as usual, the Yearbook 2002 also contains a variety of papers and reviews on other subjects relevant to medical informatics, such as Bioinformatics, Computer-supported education, Health and clinical management, Health information systems, Knowledge processing and decision support, Patient records, and Signal processing.

scholarly journals A Review of Wrist-Worn Wearable: Sensors, Models, and Challenges

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Rasha M. Al-Eidan ◽  
Hend Al-Khalifa ◽  
Abdul Malik Al-Salman
Keyword(s):  
Selection Criteria ◽  
Wearable Sensors ◽  
Wearable Devices ◽  
Research Field ◽  
Affect Recognition ◽  
Research Directions ◽  
Open Research ◽  
Literature Reviews ◽  
Comprehensive Survey ◽  
Selection Of

Wearable technology impacts the daily life of its users. Wearable devices are defined as devices embedded within clothes, watches, or accessories. Wrist-worn devices, as a type of wearable devices, have gained popularity among other wearable devices. They allow quick access to vital information, and they are suitable for many applications. This paper presents a comprehensive survey of wearable computing as a research field and provides a systematic review of recent work specifically on wrist-worn wearables. The focus of this research is on wrist-worn wearable studies because there is a lack of systematic literature reviews related to this area. This study reviewed journal and conference articles from 2015 and 2017 with some studies from 2014 and 2018, resulting in a selection of 54 studies that met the selection criteria. The literature showed that research in wrist-worn wearables spans three domains, namely, user interface and interaction studies, user studies, and activity/affect recognition studies. Our study then concludes with challenges and open research directions.

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-123
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

scholarly journals Sensors, Medical Images and Signal Processing:

2009 ◽  
Vol 18 (01) ◽  
pp. 81-83
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Medical Images ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Excellent Research ◽  
Number Of Publications ◽  
Field Imaging ◽  
Selection Of

Summary Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics. Method Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2009. Results Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. Conclusions The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field. Imaging and particularly multi-dimensional imaging has had in 2008 by far the largest number of publications compared to signals and sensors.

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