Achievement of a Multi DOF Myoelectric Interface for Hand Prosthesis
Nowadays, bionic systems are a real revolution and they are increasingly used by thousands of victims of amputation all over the world. Whether of lower limb or upper limb amputation, bionic systems are a concrete solution that helps people to outdo disab
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Electronic and Computing Faculty (FEI), Robotics Parallelism and Embedded Systems (LRPE), University of Science and Technology Houari Boumediene (USTHB), Bab Ezzouar, Algeria [email protected], [email protected] 2 LISV Laboratory, Université de Versailles Saint-Quentin-en-Yvelines, 10-12 Avenue de l’Europe, 78140 Vélizy, France [email protected]
Abstract. Nowadays, bionic systems are a real revolution and they are increasingly used by thousands of victims of amputation all over the world. Whether of lower limb or upper limb amputation, bionic systems are a concrete solution that helps people to outdo disability. People with amputated leg can anew walk and person with amputated hand can afresh hold and manipulate objects by dint of myoelectric systems. All bionic systems are built in order to be as much as possible humanoid, regarding their aspect or their functioning, that is why a myoelectric interface should be intuitive and able to analyze and decode by itself the myoelectric excitation to command prosthesis. This paper is about the design and the achievement of a Multi-DOF myoelectric interface used to command an artificial hand that we designed. Keywords: Myoelectric interface Humanoid prosthesis classification Artificial hand Bionic hands
EMG signal
1 Introduction Since the eighties, myoelectric systems are built in order to give back some mobility to persons suffering from handicap caused by an amputation of the upper or lower limbs. Nowadays, myoelctric systems are made and marketed, for example the I-LIMB QUANTUM [1]. This hand has a humanoid design, with a carpe and five fingers independently animated by using encoding excitation. The hand grip is more human like and can accomplish a wide range of postures, but the prosthesis is commanded in non intuitive way because of encoding excitation. Other work is also carried out in this field, like the myoelectric arm designed in APL John Hopkins university. This one is controlled by chest myoelctric signal, indeed the team has graft the nerves of the amputee arm on the chest [2–6]. This is a more natural way for controlling prosthetic, but it needs lot of training to be able to activate some areas of the chest rather than others. This approach is interesting and could be discussed in case of total arm amputation. At the © Springer International Publishing Switzerland 2016 Y. Tan et al. (Eds.): ICSI 2016, Part I, LNCS 9712, pp. 637–644, 2016. DOI: 10.1007/978-3-319-41000-5_64
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EPFL, a prosthesis with a haptic feedback has been developed. Thanks to this prosthesis, the patient can feel the hardness of an object. This is achieved by electrical stimulation of the median and radial nerves. The method consists in surgically connect excitation electrodes to the mentioned nerves [7]. In this way, the patient would be able to regulate his grasp corresponding to what he feels. That sounds more human like and a more intuitive way to use a prosthetic hand. Even if this method allows the patient to somehow feel the grasp, it
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