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Yearb Med Inform 2007; 16(01): 70-71
DOI: 10.1055/s-0038-1638528
Synopsis
Georg Thieme Verlag KG Stuttgart

Sensors, Medical Image and Signal Processing

Findings from the Section on Sensor, Signal and Imaging Informatics
R. Westphal
1   Technical University of Braunschweig, Institute for Robotics and Process Control, Braunschweig, Germany
,
Managing Editor for the IMIA Yearbook Section on Sensor, Signal and Imaging Informatics › Author Affiliations
I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook and Prof. Haux and Kulikowski for giving me the opportunity to participate in selecting articles for this yearbook.
Further Information

Correspondence to

Ralf Westphal
Technical University of Braunschweig
Institute for Robotics and Process Control
Muehlenpfordt Str. 23
D-38106 Braunschweig
Germany
Phone: +49 531 3917463   
Fax: +49 531 3917445   

Publication History

Publication Date:
05 March 2018 (online)

Also available at
 
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Summary

Objectives

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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Keywords

Medical informatics - International Medical Informatics Association - yearbook - sensors - signal and imaging informatics

 


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  • References

  • 1 Lehmann TM, Meinzer HP, Tolxdorff T. Advances in biomedical image analysis – Past, present and future challenges. Methods Inf Med 2004; 43 (04) 308-14.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 2 Lehmann TM, Aach T, Witte H. Sensors, Signal and Image Informatics. Methods Inf Med – Supplement. 2006 IMIA Yearbook: 57-67.
    PubMedGoogle Scholar
  • 3 Moore MMJackson, Mason SG, Birch GE. Analyzing Trends in Brain Interface Technology: A Method to Compare Studies. Ann Biomed Eng 2006; 34 (05) 859-78.
    CrossrefPubMedGoogle Scholar
  • 4 Millán J, Renkens F, Mouriño J, Gerstner W. Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG. IEEE Trans Biomed Eng 2004; 51 (06) 1026-33.
    CrossrefPubMedGoogle Scholar
  • 5 Kim HK, Biggs SJ, Schloerb DW, Carmena JM, Lebedev MA, Nicolelis MAL. et al. Continuous Shared Control for Stabilizing Reaching and Grasping With Brain-Machine Interfaces. IEEE Trans Biomed Eng 2006; 53 (06) 1164-73.
    CrossrefPubMedGoogle Scholar
  • 6 Gysels E, Renevey P, Celka P. Fast Feature Selection to Compare Broadband with arrowband Phase Synchronization in Brain-computer Interfaces. Methods Inf Med 2007; 46 (02) 160-3.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 7 Gortzis LG. Designing and Redesigning Medical Telecare Services – A Forces-oriented Model. Methods Inf Med 2007; 46 (01) 27-35.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 8 Bashshur RL. State-of-the-art telemedicine/ telehealth: ch. l telemedicine and health care. Telemed J e-Health 2002; 08 1 5-12.
    PubMedGoogle Scholar
  • 9 Jennett PA, Hall LA, Hailey D, Ohinmaa A, Anderson C, Thomas R. et al. The socio-economic impact of telehealth: A systematic review. J Telemed Telecare 2003; 09 (06) 311-20.
    CrossrefPubMedGoogle Scholar
  • 10 Istrate D, Castelli E, Vacher M, Besacier L, Serignat JF. Information Extraction From Sound for Medical Telemonitoring. IEEE Trans Inf Technol Biomed 2006; 10 (02) 264-74.
    CrossrefPubMedGoogle Scholar
  • 11 Lukowicz P, Kirstein T, Tröster G. Wearable Systems for Health Care Applications. Methods Inf Med 2004; 43: 232-8.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 12 Bott OJ. Health Information Systems: Between Shared Care and Body Area Networks- Findings from the Section on Health Information Systems. Methods Inf Med – Supplement. 2006 IMIA Yearbook: 53-6.
    PubMedGoogle Scholar
  • 13 Dua S, Iyengar SS. Advances in Medical Signal Processing. Synopsis. IMIA Yearbook of Medical Informatics. 2004
    PubMedGoogle Scholar
  • 14 Pullan A. Biomedical Imaging. Synopsis. IMIA Yearbook of Medical Informatics. 2004
    PubMedGoogle Scholar
  • 15 Barillot C. Medical Signal Processing and Biomedical Imaging. Synopsis. IMIA Yearbook of Medical Informatics. 2005
    PubMedGoogle Scholar
  • 16 Westphal R, Winkelbach S. Sensors, Medical Image and Signal Processing – Findings from the Section on Sensors. Signal and Imaging Informatics. Methods Inf Med – Supplement 2006; IMIA Yearbook: 68-71.
    PubMedGoogle Scholar
  • 17 DiMaio SP, Salcudean SE. Needle Steering and Motion Planning in Soft Tissues. IEEE Trans Biomed Eng 2005; 52 (06) 965-74.
    CrossrefPubMedGoogle Scholar
  • 18 Pärkkä J, Ermes M, Korpipää P, Mäntyjärvi J, Peltola J, Korhonen I. Activity Classification Using Realistic Data From Wearable Sensors. IEEE Trans Inf Technol Biomed 2006; 10 (01) 119-28.
    CrossrefPubMedGoogle Scholar
  • 19 Azar FS, Metaxas DN, Schnall MD. A finite element model of the breast for predicting mechanical deformations during biopsy procedures. in Proc. IEEE Workshop Mathematical Methods in Biomedical Image Analysis. 2000: 38-45.
    PubMedGoogle Scholar
  • 20 De Andres J, Reina MA, Lopez-Garcia A. Risks of regional anaesthesia: Role of equipment—Needle design, catheters. in Proc. 17th Annu. Eur. Soc. Regional Anaesthesia Congr., Sep. 1998, [Online]. Available: http://www.esraeurope.org/andres14.htm
    PubMedGoogle Scholar
  • 21 Kohn LT, Corrigan JM, Donaldson MS. To Err Is Human: Building a Safer Health System. New York: Nat. Acad; 2000
    Google Scholar
  • 22 Hagendoorn H, Vuori I, Oja P. Guidelines for the development of national policies and strategies for promoting health through physical activity, The European Network for the Promotion of Health-Enhancing Physical Activity. 2004 [Online]. Available: http://www.who.int/gb/ebwha/pdffiles/WHA57/A57 R17-en.pdf
    PubMedGoogle Scholar
  • 23 Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C. et al. Physical activity and public health: a recommendation from the centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 1995; 273 (05) 402-7.
    CrossrefPubMedGoogle Scholar

Correspondence to

Ralf Westphal
Technical University of Braunschweig
Institute for Robotics and Process Control
Muehlenpfordt Str. 23
D-38106 Braunschweig
Germany
Phone: +49 531 3917463   
Fax: +49 531 3917445   

  • References

  • 1 Lehmann TM, Meinzer HP, Tolxdorff T. Advances in biomedical image analysis – Past, present and future challenges. Methods Inf Med 2004; 43 (04) 308-14.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 2 Lehmann TM, Aach T, Witte H. Sensors, Signal and Image Informatics. Methods Inf Med – Supplement. 2006 IMIA Yearbook: 57-67.
    PubMedGoogle Scholar
  • 3 Moore MMJackson, Mason SG, Birch GE. Analyzing Trends in Brain Interface Technology: A Method to Compare Studies. Ann Biomed Eng 2006; 34 (05) 859-78.
    CrossrefPubMedGoogle Scholar
  • 4 Millán J, Renkens F, Mouriño J, Gerstner W. Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG. IEEE Trans Biomed Eng 2004; 51 (06) 1026-33.
    CrossrefPubMedGoogle Scholar
  • 5 Kim HK, Biggs SJ, Schloerb DW, Carmena JM, Lebedev MA, Nicolelis MAL. et al. Continuous Shared Control for Stabilizing Reaching and Grasping With Brain-Machine Interfaces. IEEE Trans Biomed Eng 2006; 53 (06) 1164-73.
    CrossrefPubMedGoogle Scholar
  • 6 Gysels E, Renevey P, Celka P. Fast Feature Selection to Compare Broadband with arrowband Phase Synchronization in Brain-computer Interfaces. Methods Inf Med 2007; 46 (02) 160-3.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 7 Gortzis LG. Designing and Redesigning Medical Telecare Services – A Forces-oriented Model. Methods Inf Med 2007; 46 (01) 27-35.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 8 Bashshur RL. State-of-the-art telemedicine/ telehealth: ch. l telemedicine and health care. Telemed J e-Health 2002; 08 1 5-12.
    PubMedGoogle Scholar
  • 9 Jennett PA, Hall LA, Hailey D, Ohinmaa A, Anderson C, Thomas R. et al. The socio-economic impact of telehealth: A systematic review. J Telemed Telecare 2003; 09 (06) 311-20.
    CrossrefPubMedGoogle Scholar
  • 10 Istrate D, Castelli E, Vacher M, Besacier L, Serignat JF. Information Extraction From Sound for Medical Telemonitoring. IEEE Trans Inf Technol Biomed 2006; 10 (02) 264-74.
    CrossrefPubMedGoogle Scholar
  • 11 Lukowicz P, Kirstein T, Tröster G. Wearable Systems for Health Care Applications. Methods Inf Med 2004; 43: 232-8.
    Article in Thieme ConnectPubMedGoogle Scholar
  • 12 Bott OJ. Health Information Systems: Between Shared Care and Body Area Networks- Findings from the Section on Health Information Systems. Methods Inf Med – Supplement. 2006 IMIA Yearbook: 53-6.
    PubMedGoogle Scholar
  • 13 Dua S, Iyengar SS. Advances in Medical Signal Processing. Synopsis. IMIA Yearbook of Medical Informatics. 2004
    PubMedGoogle Scholar
  • 14 Pullan A. Biomedical Imaging. Synopsis. IMIA Yearbook of Medical Informatics. 2004
    PubMedGoogle Scholar
  • 15 Barillot C. Medical Signal Processing and Biomedical Imaging. Synopsis. IMIA Yearbook of Medical Informatics. 2005
    PubMedGoogle Scholar
  • 16 Westphal R, Winkelbach S. Sensors, Medical Image and Signal Processing – Findings from the Section on Sensors. Signal and Imaging Informatics. Methods Inf Med – Supplement 2006; IMIA Yearbook: 68-71.
    PubMedGoogle Scholar
  • 17 DiMaio SP, Salcudean SE. Needle Steering and Motion Planning in Soft Tissues. IEEE Trans Biomed Eng 2005; 52 (06) 965-74.
    CrossrefPubMedGoogle Scholar
  • 18 Pärkkä J, Ermes M, Korpipää P, Mäntyjärvi J, Peltola J, Korhonen I. Activity Classification Using Realistic Data From Wearable Sensors. IEEE Trans Inf Technol Biomed 2006; 10 (01) 119-28.
    CrossrefPubMedGoogle Scholar
  • 19 Azar FS, Metaxas DN, Schnall MD. A finite element model of the breast for predicting mechanical deformations during biopsy procedures. in Proc. IEEE Workshop Mathematical Methods in Biomedical Image Analysis. 2000: 38-45.
    PubMedGoogle Scholar
  • 20 De Andres J, Reina MA, Lopez-Garcia A. Risks of regional anaesthesia: Role of equipment—Needle design, catheters. in Proc. 17th Annu. Eur. Soc. Regional Anaesthesia Congr., Sep. 1998, [Online]. Available: http://www.esraeurope.org/andres14.htm
    PubMedGoogle Scholar
  • 21 Kohn LT, Corrigan JM, Donaldson MS. To Err Is Human: Building a Safer Health System. New York: Nat. Acad; 2000
    Google Scholar
  • 22 Hagendoorn H, Vuori I, Oja P. Guidelines for the development of national policies and strategies for promoting health through physical activity, The European Network for the Promotion of Health-Enhancing Physical Activity. 2004 [Online]. Available: http://www.who.int/gb/ebwha/pdffiles/WHA57/A57 R17-en.pdf
    PubMedGoogle Scholar
  • 23 Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C. et al. Physical activity and public health: a recommendation from the centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 1995; 273 (05) 402-7.
    CrossrefPubMedGoogle Scholar

   Permissions and Reprints