Yearb Med Inform 2012; 21(01): 100-103
DOI: 10.1055/s-0038-1639438
Synopsis
Georg Thieme Verlag KG Stuttgart

Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring

H. Müller
1   Medical Informatics, University Hospitals and University of Geneva, Switzerland
2   University of Applied Sciences Western Switzerland (HES SO), Sierre, Switzerland
,
A. Foncubierta-Rodriguez
2   University of Applied Sciences Western Switzerland (HES SO), Sierre, Switzerland
,
A. Depeursinge
1   Medical Informatics, University Hospitals and University of Geneva, Switzerland
2   University of Applied Sciences Western Switzerland (HES SO), Sierre, Switzerland
,
Section Editors for the IMIA Year-book Section on Sensor, Signal, and Imaging Informatics › Author Affiliations
We greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook.
Further Information

Correspondence to

Shashi B. Gogia
28/31 Old Rajinder Nagar New Delhi 110060 , India

Publication History

Publication Date:
10 March 2018 (online)

 

Summary

Objectives

To summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2011.

Methods

Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2012 through a manual initial selection and a peer review process to find the best paper in this domain published in 2011.

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. An increased number of systems with embedded signal processing where sensors include signal processing were observed in 2011. In all domains, pragmatic solutions with the goal of clinical impact have grown, including in developing countries where simple, robust techniques are combined to address primary and simple medical problems with potentially high impact. Finally, recent advances in image and signal processing are moving towards patient-based modeling.

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 in the year 2012.


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  • References

  • 1 Mandal S, Basak K, Mandana KM, Ray AK, Chatterjee J, Mahadevappa M. Development of cardiac prescreening device for rural population using ultralow-power embedded system. IEEE Trans Biomed Eng 2011; 58 (03) 745-9.
  • 2 Ying H, Schlösser M, Schnitzer A, Schäfer T, Schläfke ME, Leonhardt S. et al. Distributed intelligent sensor network for the rehabilitation of Parkinson’s patients. IEEE Trans Inf Technol Biomed 2011; 15 (02) 268-76.
  • 3 Choi J, Ahmed B, Gutierrez-Osuna R. Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors. IEEE Trans Inf Technol Biomed 2012; 16 (02) 279-86.
  • 4 van Ginneken B, Schaefer-Prokop CM, Prokop M. Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 2011; 261 (03) 719-32.
  • 5 Depeursinge A, Fischer B, Müller H, Deserno TM. Prototypes for content-based image retrieval in clinical practice. Open Med Inform J 2011; 05 (Suppl. 01) 58-72.
  • 6 Sermesant M, Chabiniok R, Chinchapatnam P, Mansi T, Billet F, Moireau P. et al. Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Med Image Anal 2012; 16 (01) 201-15.
  • 7 Zhan Y, Dewan M, Harder M, Krishnan A, Zhou XS. Robust automatic knee MR slice positioning through redundant and hierarchical anatomy detection. IEEE Trans Med Imaging 2011; 30 (12) 2087-100.
  • 8 Gavaghan KA, Peterhans M, Oliveira-Santos T, Weber S. A portable image overlay projection device for computer-aided open liver surgery. IEEE Trans Biomed Eng 58 (06) 1855-64 2011..
  • 9 Khushaba RN, Kodagoda S, Lal S, Dissanayake G. Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm. IEEE Trans Biomed Eng 2011; 58 (01) 121-31.
  • 10 Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput Med Imaging Graph 2011; 35 (7-8): 506-14.
  • 11 Padilla P, López M, Górriz JM, Ramírez J, Salas-González D, Álvarez I. Alzheimer’s Disease Neuroimaging Initiative. NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer’s disease. IEEE Trans Med Imaging 2012; 31 (02) 207-16.
  • 12 Iyer VK, Ramamoorthy PA, Fan H, Ploysongsang Y. Reduction of heart sounds from lung sounds by adaptive filtering. IEEE Trans Biomed Eng 1986; 33 (12) 1141-8.

Correspondence to

Shashi B. Gogia
28/31 Old Rajinder Nagar New Delhi 110060 , India

  • References

  • 1 Mandal S, Basak K, Mandana KM, Ray AK, Chatterjee J, Mahadevappa M. Development of cardiac prescreening device for rural population using ultralow-power embedded system. IEEE Trans Biomed Eng 2011; 58 (03) 745-9.
  • 2 Ying H, Schlösser M, Schnitzer A, Schäfer T, Schläfke ME, Leonhardt S. et al. Distributed intelligent sensor network for the rehabilitation of Parkinson’s patients. IEEE Trans Inf Technol Biomed 2011; 15 (02) 268-76.
  • 3 Choi J, Ahmed B, Gutierrez-Osuna R. Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors. IEEE Trans Inf Technol Biomed 2012; 16 (02) 279-86.
  • 4 van Ginneken B, Schaefer-Prokop CM, Prokop M. Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 2011; 261 (03) 719-32.
  • 5 Depeursinge A, Fischer B, Müller H, Deserno TM. Prototypes for content-based image retrieval in clinical practice. Open Med Inform J 2011; 05 (Suppl. 01) 58-72.
  • 6 Sermesant M, Chabiniok R, Chinchapatnam P, Mansi T, Billet F, Moireau P. et al. Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation. Med Image Anal 2012; 16 (01) 201-15.
  • 7 Zhan Y, Dewan M, Harder M, Krishnan A, Zhou XS. Robust automatic knee MR slice positioning through redundant and hierarchical anatomy detection. IEEE Trans Med Imaging 2011; 30 (12) 2087-100.
  • 8 Gavaghan KA, Peterhans M, Oliveira-Santos T, Weber S. A portable image overlay projection device for computer-aided open liver surgery. IEEE Trans Biomed Eng 58 (06) 1855-64 2011..
  • 9 Khushaba RN, Kodagoda S, Lal S, Dissanayake G. Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm. IEEE Trans Biomed Eng 2011; 58 (01) 121-31.
  • 10 Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput Med Imaging Graph 2011; 35 (7-8): 506-14.
  • 11 Padilla P, López M, Górriz JM, Ramírez J, Salas-González D, Álvarez I. Alzheimer’s Disease Neuroimaging Initiative. NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer’s disease. IEEE Trans Med Imaging 2012; 31 (02) 207-16.
  • 12 Iyer VK, Ramamoorthy PA, Fan H, Ploysongsang Y. Reduction of heart sounds from lung sounds by adaptive filtering. IEEE Trans Biomed Eng 1986; 33 (12) 1141-8.