Section 4: Sensor, Signal and Imaging Informatics

SummaryObjectives:To summarize current excellent research in the field of sensor, signal and imaging informatics.Method:Synopsis of the articles selected for the IMIA Yearbook 2007.Results:The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.Conclusion:The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.

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Sensor, Signal, and Imaging Informatics

Yearbook of Medical Informatics ◽

10.15265/iy-2017-019 ◽

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.

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Sensor, Signal, and Imaging Informatics: Evidence-Based Health Informatics

Yearbook of Medical Informatics ◽

10.1055/s-0038-1638842 ◽

2013 ◽

Vol 22 (01) ◽

pp. 117-119

Author(s):

A. Moreau-Gaudry ◽

S. Voros

Keyword(s):

Health Informatics ◽

Peer Review Process ◽

Wide Spectrum ◽

Imaging Informatics ◽

Added Value ◽

Evidence Based ◽

Sensor Signal ◽

Optimal Care ◽

Double Blind ◽

Excellent Research

Summary Objectives: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2013 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2012. Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2012, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. Results: Current research in the field of sensor signal and imaging informatics is based on innovative sensors from which relevant information (signal and imaging) can be acquired and integrated into workflow based or patient based models. This rich environment can help the medical staff in carrying out more optimal care. The demonstration of the added value of such innovations is more and more performed through evidence-based evaluations. Conclusions: The best paper selection of articles on sensors, signal, and imaging informatics illustrates the wide spectrum covered by this field in 2012, and the attention paid to evaluations.

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Sensor, Signal, and Imaging Informatics: Big Data and Smart Health Technologies

Yearbook of Medical Informatics ◽

10.15265/iy-2014-0035 ◽

2014 ◽

Vol 23 (01) ◽

pp. 150-153 ◽

Cited By ~ 4

Author(s):

A. Moreau-Gaudry ◽

S. Voros ◽

Keyword(s):

Big Data ◽

Peer Review Process ◽

Imaging Informatics ◽

Sensor Signal ◽

Double Blind ◽

Health Technologies ◽

Excellent Research ◽

Study Population ◽

Smart Health ◽

Initial Selection

Summary Objectives: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2014 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2013, with a focus on Big Data and Smart Health Technologies Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2013, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. Results: Big Data are collections of large and complex datasets which have the potential to capture the whole variability of a study population. More and more innovative sensors are emerging, allowing to enrich these big databases. However they become more and more challenging to process (i.e. capture, store, search, share, transfer, exploit) because traditional tools are not adapted anymore. Conclusions: This review shows that it is necessary not only to develop new tools specifically designed for Big Data, but also to evaluate their performance on such large datasets.

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Section 4: Sensor, Signal and Imaging Informatics

Yearbook of Medical Informatics ◽

10.1055/s-0038-1638886 ◽

2012 ◽

Vol 21 (01) ◽

pp. 102-103

Keyword(s):

Imaging Informatics ◽

Sensor Signal

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Sensors, Medical Images and Signal Processing:

Yearbook of Medical Informatics ◽

10.1055/s-0038-1638744 ◽

2011 ◽

Vol 20 (01) ◽

pp. 92-95 ◽

Cited By ~ 2

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.

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Sensors, Medical Images and Signal Processing:

Yearbook of Medical Informatics ◽

10.1055/s-0038-1638687 ◽

2010 ◽

Vol 19 (01) ◽

pp. 43-46 ◽

Cited By ~ 2

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.

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Sensor, Signal, and Imaging Informatics in 2017

Yearbook of Medical Informatics ◽

10.1055/s-0038-1667084 ◽

2018 ◽

Vol 27 (01) ◽

pp. 110-113 ◽

Cited By ~ 1

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.

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