Since the start of the XX century, amputees were provided with "tool" to substitute the missing limb. Even if these device could have been functional, nowadays they are asking for prosthetic devices that as similar as possible to their missing limb. New algorithms were developed in order to identify specific electrical pattern in order to control a high repertoire of gestures. With a short training, in fact, it is possible for the amputees to learn how to control these devices allowing them to perform a very high number of gestures. During the last decade, moreover, a new line of research is quickly rising. With the aid of electrodes placed in contact with the peripheral nerves, it is possible to provite the amputees with a system capable of restoring the tactile feedback. This features is paramount when you want to give the amputee a system that is totally similar to the natural hand. This thesis provides a framework that involve both the control of a prosthetic hand and the sensory stimulation for amputee patients. The development of selective intraneural electrodes allows to stimulate the nerves and elicit tactile feedback. Varying accordingly the parameters of the stimulation and changing different location where the stimulus is applied, it is possible to provide the amputee with diferent types of sensations. Moreover, from the same electrodes, it is possible to record the neural activity generated by the brain and sent to the residual muscles. Instead of recording the muscular activity, it is possible, in fact, to record the neural information before it is transferred to the muscles. This thesis is going to address both the problematic, trying to create a bidirectional system that is able to stimulate the peripheral nerves of amputee patients and record the motion ontention from them. For this purpose, at first it is presented the hardware and the developed software that have been used on a human experimentation with the aim to restore the tactile feedback in an amputee patient. Secondly, a complete analysis of the algorithms to analyze the neural signal is discussed. Both simulated and real recordings have been used to validate the already existing algorithm and a brand new one that relates the ENG with the EMG to be used to control a hand prosthesis. Lastly, the algorithms that recover the neural information from the muscular signals are studied and presented. They present an alternative way to study and obtain the neural information.

Neural recording and stimulation techniques for the bidirectional control of prosthetic hands / Emiliano Noce , 2018 May 08. 30. ciclo

Neural recording and stimulation techniques for the bidirectional control of prosthetic hands

2018-05-08

Abstract

Since the start of the XX century, amputees were provided with "tool" to substitute the missing limb. Even if these device could have been functional, nowadays they are asking for prosthetic devices that as similar as possible to their missing limb. New algorithms were developed in order to identify specific electrical pattern in order to control a high repertoire of gestures. With a short training, in fact, it is possible for the amputees to learn how to control these devices allowing them to perform a very high number of gestures. During the last decade, moreover, a new line of research is quickly rising. With the aid of electrodes placed in contact with the peripheral nerves, it is possible to provite the amputees with a system capable of restoring the tactile feedback. This features is paramount when you want to give the amputee a system that is totally similar to the natural hand. This thesis provides a framework that involve both the control of a prosthetic hand and the sensory stimulation for amputee patients. The development of selective intraneural electrodes allows to stimulate the nerves and elicit tactile feedback. Varying accordingly the parameters of the stimulation and changing different location where the stimulus is applied, it is possible to provide the amputee with diferent types of sensations. Moreover, from the same electrodes, it is possible to record the neural activity generated by the brain and sent to the residual muscles. Instead of recording the muscular activity, it is possible, in fact, to record the neural information before it is transferred to the muscles. This thesis is going to address both the problematic, trying to create a bidirectional system that is able to stimulate the peripheral nerves of amputee patients and record the motion ontention from them. For this purpose, at first it is presented the hardware and the developed software that have been used on a human experimentation with the aim to restore the tactile feedback in an amputee patient. Secondly, a complete analysis of the algorithms to analyze the neural signal is discussed. Both simulated and real recordings have been used to validate the already existing algorithm and a brand new one that relates the ENG with the EMG to be used to control a hand prosthesis. Lastly, the algorithms that recover the neural information from the muscular signals are studied and presented. They present an alternative way to study and obtain the neural information.
8-mag-2018
Neuroprosthetics; Upper limb prosthetics; neural stimulation
Neural recording and stimulation techniques for the bidirectional control of prosthetic hands / Emiliano Noce , 2018 May 08. 30. ciclo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/68766
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