Video-based detection of device interaction in the operating room

References

[1] Agarwal S, Joshi A, Finin T, Yesha Y, Ganous T. A pervasive computing system for the operating room of the future. Mob Netw Appl 2007; 12: 215–228.10.1007/s11036-007-0010-8Search in Google Scholar

[2] Aggarwal R, Grantcharov T, Moorthy K, et al., An evaluation of the feasibility, validity, and reliability of laparoscopic skills assessment in the operating room. Ann Surg 2007; 245: 992–999.10.1097/01.sla.0000262780.17950.e5Search in Google Scholar PubMed PubMed Central

[3] AXIS Communications, AXIS Commun, http://www.axis.com/global/en/products/axis-video-motion-detection/overview (2015). Accessed on 13 November, 2015.Search in Google Scholar

[4] Bhatia B, Oates T, Xiao Y, Hu P. Real-time identification of operating room state from video. In: Proc 19th Natl Conf Innov Appl Artif Intell – Vol. 2, AAAI Press, 2007; 1761–1766.Search in Google Scholar

[5] Blum T, Feußner H, Navab N. Modeling and segmentation of surgical workflow from laparoscopic video. In: Jiang, T, Navab N, Pluim J, Viergever M, editors. Med Image Comput Comput-Assist Interv – MICCAI 2010, Springer Berlin/Heidelberg, 2010: 400–407.10.1007/978-3-642-15711-0_50Search in Google Scholar PubMed

[6] Bohn S, Franke S, Burgert O, Meixensberger J, Lindner D. First clinical application of an open standards based OR integration system. Biomed. Eng.-Biomed. Tech. 2011; 56 Supplement 1.Search in Google Scholar

[7] Bohn S, Franke S, Burgert O, Neumuth T. An integration architecture with centralized control for medical devices in the digital operating room. In: Proc Fifth Int Workshop Syst Archit Comput Assist Interv SACAI 15th Int Conf Med Image Comput Comput Assist Interv, 2012.Search in Google Scholar

[8] Bouarfa L, Jonker PP, Dankelman J. Discovery of high-level tasks in the operating room. J Biomed Inform 2011; 44: 455–462.10.1016/j.jbi.2010.01.004Search in Google Scholar PubMed

[9] bytedeco/javacv, GitHub, https://github.com/bytedeco/javacv. (2015). Accessed on 13 November, 2015.Search in Google Scholar

[10] Cleary K, Chung HY, Mun SK. OR2020 workshop overview: operating room of the future. Int Congr Ser 2004; 1268: 847–852.10.1016/j.ics.2004.03.287Search in Google Scholar

[11] Dosis A, Aggarwal R, Bello F, et al., Synchronized video and motion analysis for the assessment of procedures in the operating theater. Arch Surg Chic Ill 1960 2005; 140: 293–299.10.1001/archsurg.140.3.293Search in Google Scholar PubMed

[12] Dosis A, BelloF, RockallT, et al., ROVIMAS: a software package for assessing surgical skills using the da Vinci telemanipulator system. In: Inf Technol Appl Biomed 2003 4th Int IEEE EMBS Spec Top Conf On, 2003; 326–329.Search in Google Scholar

[13] DresslerC, Fischer M, Burgert O, Strauß G. Evaluation of a context sensitive system for intra-operative usage of the electronic patient record. Laryngorhinootologie 2011.Search in Google Scholar

[14] Endress A, Brucker S, Wallwiener D, Aydeniz B, Kurek R, Zubke W. Systems integration in the operating room: the challenge of the decade. Gynecol Surg 2006; 3: 6–11.10.1007/s10397-005-0148-ySearch in Google Scholar

[15] Franke S, Liebmann P, Neumuth T. Connecting workflow management to the OR network: Design and evaluation of a bridge to enable dynamic systems behaviour. Biomed. Eng.-Biomed. Tech. 2012; 57 (Suppl 1).10.1515/bmt-2012-4192Search in Google Scholar PubMed

[16] Gessat M, Bohn S, Voruganti A, Franke S, Burgert O. TiCoLi: an open software infrastructure for device integration in the digital OR. Int J CARS 2011; 6 (Suppl 1): 226–295.Search in Google Scholar

[17] Ibach B, Benzko J, Schlichting S, Zimolong A, Radermacher K. Integrating medical devices in the operating room using service-oriented architectures. Biomed. Eng.-Biomed. Tech. 2012; 57: 221–228.10.1515/bmt-2011-0101Search in Google Scholar PubMed

[18] Lacassagne L, Manzanera A, Dupret A. Motion detection: fast and robust algorithms for embedded systems. 2009, 3265–3268.10.1109/ICIP.2009.5413946Search in Google Scholar

[19] 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: 966–976.10.1109/TBME.2011.2181168Search in Google Scholar PubMed PubMed Central

[20] Lalys F, Riffaud L, Morandi X, Jannin P. Surgical phases detection from microscope videos by combining SVM and HMM. In: Menze B, Langs G, Tu Z, Criminisi A, editors. Med Comput Vis Recognit Tech Appl Med Imaging, Springer Berlin Heidelberg, 2011: 54–62.10.1007/978-3-642-18421-5_6Search in Google Scholar

[21] Lemke HU, Vannier MW. The operating room and the need for an IT infrastructure and standards. Int J Comput Assist Radiol Surg 2006; 1: 117–121.10.1007/s11548-006-0051-7Search in Google Scholar

[22] 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: 72–80.10.1197/jamia.M2748Search in Google Scholar PubMed PubMed Central

[23] Neumuth T, Liebmann P, Wiedemann P, Meixensberger J. Surgical workflow management schemata for cataract procedures. Process model-based design and validation of workflow schemata. Methods Inf Med 2012; 51: 371–382.10.3414/ME11-01-0093Search in Google Scholar PubMed

[24] OpenCV, OpenCV, http://opencv.org/. (2015). Accessed on 13 November, 2015.Search in Google Scholar

[25] Panasonic, Panasonic, http://security.panasonic.com/pss/security/products/hd/i-VMD/ (2015). Accessed on 13 November, 2015.Search in Google Scholar

[26] Piccardi M. Background subtraction techniques: a review. In: 2004 IEEE Int Conf Syst Man Cybern 2004; 4: 3099–3104.10.1109/ICSMC.2004.1400815Search in Google Scholar

[27] Ray S. An overview of the tesseract OCR engine. In: Int Conf Conf Doc Anal Recognit 2007; 629–633.Search in Google Scholar

[28] Rockstroh M, Franke S, Neumuth T. A workflow-driven information source management. Int J Comput Assist Radiol Surg 2013; 8: 189–191.Search in Google Scholar

[29] Rockstroh M, Franke S, Neumuth T. Requirements for the structured recording of surgical device data in the digital operating room. Int J Comput Assist Radiol Surg 2014; 9: 49–57.10.1007/s11548-013-0909-4Search in Google Scholar PubMed

[30] Speidel S, Zentek T, Sudra G, et al., Recognition of surgical skills using hidden Markov models. In: 2009: 726125– 726125–8.10.1117/12.811140Search in Google Scholar

[31] Wu J, Lai C, Gupta R, Abosch A, Nelson D. Video-motion detection for objectively quantifying movements in in patients with Parkinson’s disease. Mov Disord 2013; 28: 322.Search in Google Scholar