139
BIBLIOGRAFIA
[1] Merletti R.(1995), Elettromiografia di Superficie, Torino, C.L.U.T.
[2] Ishikawa H. (1983), Fine structure of skeletal muscle. Cell and Muscle Motility, Edited by B. M. Dwoben and J. W. Shay, Plenum Press, New York, 4: 1-50.
[3] Felici F. (2003), “La meccanica muscolare: dalla struttura alla funzione”, in Bioingegneria della postura e del movimento, A.Cappello, A.Cappozzo e P. E. di Pamprero, Prima Edizione, Bologna, Pàtron editore, vol. 22, 18-20.
[4] Merletti R.(2000), Elementi di elettromiografia di superficie, Torino, C.L.U.T.
[5] Wikipedia, The Free Encyclopedia. <http://en.wikipedia.org>, chiave di ricerca: “user interface” (ultimo accesso giugno 2008).
[6] Guerrerio T. J. V., Jorge J. A. P., EMG as a wearable daily interface, Department of Information Systems and Computer Engineering, INESC-ID / IST, Technical University of Lisbon. [7] Androni G., Maggi L., Piccini L., Parini S., Interfacce uomo-macchina avanzate, Dipartimento di Bioingegneria Politecnico di Milano, 2003.
[8] Wessberg J., Stambaugh C. R, Kralik J. D, Beck P. D., Laubach M., Chapin J. K., Kim J., Biggs J., Srinivasan M. A., and Nicolelis M. A. L., “Real-time prediction of hand trajectory by ensambles of cortical neurons in primates”, Nature, vol. 408, pp 361-365, 2000.
[9] Cheng M., Gao X. R., Gao S. G. and Xu D. F., “Design and implementation of a brain-computer interface with high transfer rates”, IEEE Transactions on Biomedical Engineering, vol. 49, pp. 1181-1186, 2002.
[10] Alsayegh O. A., “EMG-Based Human-Machine Interface System”, IEEE International Conference On Multimedia and Expo (II), pp 925-928, 2000.
[11] Arieta A. H., Katoh R., Yokoi H. and Wenwei Y., “Development of a multi-DOF
electromiography prosthetic system using the adaptive joint mechanism”, Applied Bionics and Biomechanics, vol. 3, pp 101-112, Woodhead Publishing ltd, 2006.
[12] Choi C., Kim J., “A Real-time EMG-based Assistive Computer interface for the Upper Limb Disabled”, Proceedings of the IEEE International Conference on Rehabilitation Robotics, June 12-15, Noordwijk, The Netherlands, 2007.
[13] Flanders M., Pellegrini J. J. and Geiser. S., “Basic Features of Phasic Activation for Reaching in Vertical Planes”, Experimental Brain Research, vol. 110, pp. 67-79, 1996.
[14] Neal M., ”Coming to grips with artificial hand design”, Design Eng, pp 26–27, 29, 32, 34, 1993.
140 [15] Sears HH, Shaperman J., “Electric wrist rotation in proportional-controlled systems”, J Prosthetics Orthotics, 10(4): 92–8, 1998.
[16] Dechev N, Cleghorn WL, Naumann S., “Multiple fingers, passive adaptive grasp prosthetic hand”, Mechanism Mach Theory, vol. 36: pp 1157–73, 2001.
[17] Nishikawa D., Yu W., Maruishi M., Watanabe I., Yokoi H., Mano Y., Kakazu Y., “On-line learning based electromyogram to forearm motion classifier with motor skill evaluation”, J SME Int J Ser C, 43(4): pp. 906–15.
[18] Ishikawa Y., Yu W., Yokoi H., Kakazu Y., “Development of robot hands with an adjustable power transmitting mechanism.”, In Dagli CH., et al. Eds. Intelligent Engineering Systems Through Neural Networks, Vol. 10. ASME Press, pp. 631–6, ISBN: 0–7918–0161–6, 2000
[19] Millian J. D., Renkens F., Mourino J., and Gerstner W., “Noninvasive brain-actuated control of a mobile robot by human EEG”, IEEE Transactions on Biomedical Engineering, vol. 51, pp. 1026-1033.
[20] Perotto O. A., Anatomical guide for the electromyographer, 3rd ed. IL: Charles C. Thomas, 2005.
[21] Weiss L., Silver J. K., and Weiss J., Easy EMG: Butterworth-Heinemann, 2004.
[22] Shwedyk E., Balasubramanian R., and Scott R. N., “A Nonstationary Model for the Electomyogram”, IEEE Transactions on Biomedical Engineering, vol. 24, pp. 417-424, 1977.
[23] Dharashwar L., “Cross Talk in Myoelectric Control Systems”, vol. M.Sc.E. Fredericton, Canada: University of New Brunswick, 1967.
[24] Englehart K., Hudgins B., “A robust, real-time control scheme for multifunction myoelectic control”, IEEE Transactions on Biomedical Engineering, vol. 50, pp. 848-854, 2004.
[25] Ajiboye A. B., Weir R. F., “A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, pp. 280-291, 2005.
[26] Soraes. A, Andrade A., Lamounier E., and Carrijo R., “The development of a virtual Myolectric prosthesis controlled by an EMG pattern recognition for system based on neural networks”, Journal of Intelligent Information Systems, vol. 21, pp. 127-141, 2003.
[27] www.samsung.com (ultimo accesso giugno 2008).
[28] Fitts M. P., “The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement (Reprinted from Journal Experimental-Psychology, vol. 47, pp. 381-391, 1954)”, Journal of Experimental Psychology-General, vol. 121, pp. 262-269. 1992.
[29] Pino A., Kalogeros E., Salemis E., and Kouroupetroglou G., “Brain Computer Interface Cursor Measures for Motion-impaired and Able-bodied Users”, in Proceedings of HCI International 2003: The 10th International conference on Human-Computer Interaction. Crete, Greece, 2003, pp 1462-1466.
141 [30] www.brainfingers.com (ultimo accesso giugno 2008).
[31] www.sportmedicina.com/muscoli_e_movimento.htm (ultimo accesso giugno 2008).
[32] D. De Rossi, F. Lorussi, A. Mazzoldi, P. Orsini, E.P. Scilingo (2003), “Active dressware: wearable kinesthetic systems”. Sensor and Sensing in Biology and Bioingeneering, Springer-Verlag, New York, USA, 379-392.
[33] www.smartex.it (ultimo accesso giugno 2008).
[34] Paradiso R., Loriga G., Taccini N., “A Wearable Health Care System Based On Knitted Integrated Sensors, IEEE Transactions on Information Technology in Bimedicine, vol. 9, NO 3, Settembre 2005.
[35] Scilingo E. P., Germignani A, Paradiso R., Taccini N., Ghelarducci B., De Rossi D., “Performance Evaluation of Sensing Fabrics fo Monitoring Physiological and Biomechanical Variables”, IEEE Transactions on Information Technoligy in Biomedicine, vol. 9, NO 3, Settembre 2005.
[36] De Luca C. J., “The Use of Surface Electomyography in Biomechanics”, Journal of Applied Biomechanics, by Human Kinetics Publishers, Inc., vol. 13, pp. 135-163, 1997.
[37] http://sine.ni.com/nips/cds/view/p/lang/en/nid/10967 (ultimo accesso giugno 2008).
[38] http://www.grasstechnologies.com/products/ampsystems/15lt.html (ultimo accesso giugno 2008).
[39] Welch G., Bishop G., An Introduction to the Kalman Filter, SIGGGRAPH 2001, Course 8, Cap. IV, 2001.
[40] Di Fabio R. P., “Reliability of Computerized Surface. Electromyography for Determining the Onset of Muscle Activity”, Physical Therapy, vol. 67, pp. 43-48, 1987.
[41] Viitasalo J. H. T., Komi P., “Signal characteristics of EMG with special reference to reproducibility of measurements”, Acta Physiol. Scand., 93: pp. 531-539, 1975.