Sensor-based surgical activity recognition in unconstrained environments

References

• Neumuth D, Loebe F, Herre H, Neumuth T. Modeling surgical processes: a four-level translational approach. Artif Intell Med. 2011;51:147–61.
   PubMed Web of Science ®Google Scholar
• Rosen J, Solazzo M, Hannaford B, Sinanan M. Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden Markov model. Comput Aided Surg. 2002;7:49–61.
   PubMedGoogle Scholar
• McKenzie C, Ibbotson J, Cao C, Lomax A. Hierarchical decomposition of laparoscopic surgery: a human factors approach to investigating the operating room environment. Minim Invasive Ther Allied Technol. 2001;10:121–7.
   PubMed Web of Science ®Google Scholar
• Reiley CE, Lin HC, Varadarajan B, Vagvolgyi B, Khudanpur S, Yuh DD, et al. Automatic recognition of surgical motions using statistical modeling for capturing variability. Stud Health Technol Inform. 2008;132:396–401.
   PubMedGoogle Scholar
• Neumuth T, Jannin P, Strauss G, Meixensberger J, Burgert O. Validation of knowledge acquisition for surgical process models. J Am Med Inform Assoc. 2009;16:72–80.
   PubMed Web of Science ®Google Scholar
• Neumuth T, Jannin P, Schlomberg J, Meixensberger J, Wiedemann P, Burgert O. Analysis of surgical intervention populations using generic surgical process models. Int J Comput Assist Radiol Surg. 2011;6:59–71.
   PubMed Web of Science ®Google Scholar
• Neumuth T, Wiedemann R, Foja C, Meier P, Schlomberg J, Neumuth D, et al. Identification of surgeon-individual treatment profiles to support the provision of an optimum treatment service for cataract patients. J Ocul Biol Dis Infor. 2011;3:73–83.
   Google Scholar
• Franke S, Meixensberger J, Neumuth T. Intervention time prediction from surgical low-level tasks. J Biomed Inform. 2013;46:152–9.
   PubMed Web of Science ®Google Scholar
• Franke S, Schreiber E, Neumuth T. A time and resource management support system for the digital operating room based on surgical process models. Int J Comput Assist Radiol Surg. 2012;7:507–8.
   PubMed Web of Science ®Google Scholar
• Forestier G, Lalys F, Riffaud L, Trelhu B, Jannin P. Classification of surgical processes using dynamic time warping. J Biomed Inform. 2012;45:255–64.
   PubMed Web of Science ®Google Scholar
• Ahmadi SA, Padoy N, Heining SM, Feussner H, Daumer M, Navab N. Introducing wearable accelerometers in the surgery room for activity detection. In: 7. Jahrestagung der Deutschen Gesellschaft fuer Computer-und Roboter-Assistierte Chirurgie (CURAC 2008); Leipzig, Germany; 2008.
   Google Scholar
• Reiley CE, Hager GD. Task versus subtask surgical skill evaluation of robotic minimally invasive surgery. Med Image Comput Comput Assist Interv. 2009;12:435–42.
   PubMedGoogle Scholar
• Varadarajan B. Learning and inference algorithms for dynamical system models of dexterous motion. Ph.D. dissertation. Baltimore. Maryland. USA: The Johns Hopkins University, 2011. Available from http://gradworks.umi.com/34/96/3496153.html.
   Google Scholar
• Haro BB, Zappella L, Vidal R. Surgical gesture classification from video data. Med Image Comput Comput Assist Interv. 2012;15:34–41.
   PubMedGoogle Scholar
• Lalys F, Riffaud L, Bouget D, Jannin P. A framework for the recognition of high-level surgical tasks from video images for cataract surgeries. IEEE Trans Biomed Eng. 2012;59:966–76.
   PubMed Web of Science ®Google Scholar
• Zappella L, B´ejar B, Hager G, Vidal R. Surgical gesture classification from video and kinematic data. Medical image analysis. 2013. Available from http://www.sciencedirect.com/science/article/pii/S1361841513000522.
   Google Scholar
• Gamble KH. Right on track. Though asset tracking isn't top priority, with the ARRA deadline looming, some organizations are finding that it makes sense (and cents). Healthc Inform. 2010;27:35–6.
   PubMedGoogle Scholar
• Busch J. With RFID, asset management has never been easier: tiny technology saves time and money. EMS World. 2013;42:46–7.
   Google Scholar
• Neumuth T, Meissner C. Online recognition of surgical instruments by information fusion. Int J Comput Assist Radiol Surg. 2012;7:297–304.
   PubMed Web of Science ®Google Scholar
• Meißner C, Neumuth T. RFID-based surgical instrument detection using Hidden Markov models. Biomed Tech (Berl). 2012; PMID:22945108.
   Web of Science ®Google Scholar
• Kranzfelder M, Zywitza D, Jell T, Schneider A, Gillen S, Friess H, et al. Real-time monitoring for detection of retained surgical sponges and team motion in the surgical operation room using radio-frequency-identification (RFID) technology: a preclinical evaluation. J Surg Res. 2012;175:191–8.
   PubMed Web of Science ®Google Scholar
• Lester J, Choudhury T, Kern N, Borriello G, Hannaford B. A hybrid discriminative/generative approach for modeling human activities. IJCAI'05. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc, 2005. 766–72.
   Google Scholar
• Padoy N, Blum T, Feussner H, Berger MO, Navab N. On-line recognition of surgical activity for monitoring in the operating room. vol. 3 of IAAI'08. Chicago, Illinois: AAAI Press, 2008. 1718–24.
   Google Scholar
• Leong JJH, Nicolaou M, Atallah L, Mylonas GP, Darzi AW, Yang GZ. HMM assessment of quality of movement trajectory in laparoscopic surgery. Med Image Comput Comput Assist Interv. 2006;9:752–9.
   PubMedGoogle Scholar
• Tao L, Elhamifar E, Khudanpur S, Hager GD, Vidal R. Sparse hidden Markov models for surgical gesture classification and skill evaluation. Springer Berlin Heidelberg, 2012, 7330, 167–77.
   Google Scholar
• Rabiner L. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE. 1989;77:257–86.
   Web of Science ®Google Scholar
• Arthur D, Vassilvitskii S. k-means++: the advantages of careful seeding. SODA '07. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, 2007. 1027–35. Available from http://dl.acm.org/citation.cfm?id=1283383.1283494.
   Google Scholar
• Kobayashi T, Hasida K, Otsu N. Rotation invariant feature extraction from 3-D acceleration signals. ICASSP; 2011. 3684–7.
   Google Scholar