Computational sensemaking on examples of knowledge discovery from neuroscience data: Towards enhancing stroke rehabilitation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7451 LNCS, Issue , 2012, Pages 166-168

  Holzinger, Andreas ^a   Scherer, Reinhold ^b   Seeber, Martin ^b   Wagner, Johanna ^b   Müller Putz, Gernot ^b  

^a MEDICAL UNIVERSITY OF GRAZ   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

biomedical informatics; data mining; gait analysis; human computer interaction; infomax independent component analysis; Knowledge discovery

Indexed keywords

ACTIVITY PATTERNS; BIOMEDICAL INFORMATICS; BRAIN ACTIVITY; COMPUTATIONAL MAPS; COMPUTATIONAL MODEL; CORTICAL REORGANIZATION; FUNCTIONAL BRAIN MAPPING; GENERATIVE MODEL; HUMAN BRAIN; INFOMAX; INVERSE MAPPING; LOWER LIMB; MASSIVE DATA; NON-INVASIVE MONITORING; SENSEMAKING; SENSORIMOTOR CORTEX; SPATIAL REPRESENTATIONS; STROKE REHABILITATION;

BRAIN; BRAIN MAPPING; DATA MINING; DATA VISUALIZATION; ELECTROPHYSIOLOGY; GAIT ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION SCIENCE; MAPPING;

INFORMATION TECHNOLOGY;

EID: 84865609324     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32395-9_13     Document Type: Conference Paper

References (11)

1. Harwin, W., Murgia, A., Stokes, E.: Assessing the effectiveness of robot facilitated neurorehabilitation for relearning motor skills following a stroke. Medical and Biological Engineering and Computing 49(10), 1093-1102 (2011)
2. Lo, A.C., Guarino, P.D., Richards, L.G., Haselkorn, J.K., Wittenberg, G.F., Federman, D.G., Ringer, R.J., Wagner, T.H., Krebs, H.I., Volpe, B.T., Bever, C.T., Bravata, D.M., Duncan, P.W., Corn, B.H., Maffucci, A.D., Nadeau, S.E., Conroy, S.S., Powell, J.M., Huang, G.D., Peduzzi, P.: Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke. New England Journal of Medicine 362(19), 1772-1783 (2010)
3. Scherer, R., Pradhan, S., Dellon, B., Kim, D., Klatzky, R., Matsuoka, Y.: Characterization of multi-finger twist motion toward robotic rehabilitation. In: ICORR 2009, Kyoto (Japan), pp. 812-817. IEEE (2009)
4. Simonic, K.M., Holzinger, A., Bloice, M., Hermann, J.: Optimizing Long-Term Treatment of Rheumatoid Arthritis with Systematic Documentation. In: Proceedings of Pervasive Health - 5th International Conference on Pervasive Computing Technologies for Healthcare, Dublin, pp. 550-554. IEEE (2011)
5. Holzinger, A.: Weakly Structured Data in Health-Informatics: The Challenge for Human- Computer Interaction. In: Baghaei, N., Baxter, G., Dow, L., Kimani, S. (eds.) Proceedings of INTERACT 2011 Workshop: Promoting and Supporting Healthy Living by Design. IFIP, Lisbon (Portugal), pp. 5-7 (2011)
6. Wong, B.L.W., Xu, K., Holzinger, A.: Interactive Visualization for Information Analysis in Medical Diagnosis. In: Holzinger, A., Simonic, K.-M. (eds.) USAB 2011. LNCS, vol. 7058, pp. 109-120. Springer, Heidelberg (2011)
7. Comon, P.: Independent Component Analysis, a new concept? Signal Processing 36(3), 287-314 (1994)
8. Boehm, C., Faloutsos, C., Plant, C.: Outlier-robust clustering using independent components. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, Vancouver, Canada, pp. 185-198. ACM (2008)
9. Riener, R., Lünenburger, L., Maier, I.C., Colombo, G., Dietz, V.: Locomotor Training in Subjects with Sensori-Motor Deficits: An Overview of the Robotic Gait Orthosis Lokomat. Journal of Healthcare Engineering 1(2), 197-216 (2010)
10. Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 134, 9-21 (2004)
11. Oostenveld, R., Oostendorp, T.F.: Validating the boundary element method for forward and inverse EEG computations in the presence of a hole in the skull. Human Brain Mapping 17, 179-192 (2002)