The research presented in this thesis concerns the field of bioelectronics, in particular the work has been focused on the development of special electronic devices for neural signal acquisition and Peripheral Nervous System (PNS) stimulation. The final aim of the project in which this work is involved is in fact the realization of a prosthetic hand controlled using neural signals. The commercially available prosthesis are based on Electromyographic (EMG) signals, their use implies unnatural movements for the patient that needs a special training to develop the control capabilities over the mechanical limb. The proposed approach offers a number of advantages compared to the traditional prosthesis, first because the signals used are the same used to control the biologic limb, allowing a moreudcomfortable solution for the patient that gets closer to feel the robotic hand as a natural extension ofudhis/her body. Secondly, placing temperature and pressure sensors on the limb surface, it is possible toudtrasduce such information in an electrical current that, injected into the PNS, can restore the sensoryudfeedback in amputees. The final goal of this research is the development of a fully implantable device able to perform a bidirectional communication between the robotic hand and the patient. Due to small area, low noise andudlow power constraints, the only possible way to reach this aim is the design of a full custom Integrated Circuit (IC). However a preliminary evaluation of the key design features, such as neural signal amplitudes and frequencies as well as stimulation shape parameters, is necessary in order to define clearly and precisely the design specifications. A low-cost and short implementation time device is then needed for this aim, the Components Off The Shelf (COTS) approach seems to be the best solution for this purpose. A Printed Circuit Board (PCB) with discrete components has been designed, developed and tested, theudinformation extracted by the test results have been used to guide the IC design. The generation of electrical signals in biological cells, such as neural spikes, is possible thanks to ions that move across the cell membrane. In many applications it is important, not only to record the spikes, but also to measure these small currents in order to understand which electro-chemical processes are involved in the signal generation and to have a direct measurement of the ion channels involved in the reaction. Ion currents, in fact, play a key role in several physiological processes, in neural signal generation, but also in the maintenance of heartbeat and in muscle contraction. For this purpose, a system level implementation of a Read out circuit for ion channel current detection has been developed.ud
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机译:本文所涉及的研究涉及生物电子学领域,特别是致力于神经信号获取和周围神经系统(PNS)刺激的专用电子设备的开发。实际上,参与这项工作的项目的最终目的是实现使用神经信号控制的假手。市售假体基于肌电图(EMG)信号,其使用对于需要特殊训练以发展对机械肢体的控制能力的患者意味着不自然的运动。与传统假体相比,所提出的方法具有许多优势,首先是因为所使用的信号与用于控制生物肢体的信号相同,从而为患者提供了一种更不舒服的解决方案,使其可以更自然地感觉到机械手。 /她的身体。其次,将温度和压力传感器放置在肢体表面上,有可能在注入PNS的电流中降低此类信息,该电流可以恢复被截肢者的感觉反馈。这项研究的最终目标是开发一种完全可植入的设备,该设备能够在机械手和患者之间执行双向通信。由于面积小,噪声低和功耗低,达到此目标的唯一可能方法是设计完全定制的集成电路(IC)。但是,必须对关键设计特征(例如神经信号幅度和频率以及刺激形状参数)进行初步评估,以便清晰,准确地定义设计规格。为此,需要一种低成本,实施时间短的设备,而现成的组件(COTS)方法似乎是实现此目的的最佳解决方案。已经设计,开发和测试了具有分立组件的印刷电路板(PCB),测试结果中提取的信息已用于指导IC设计。由于离子在细胞膜上移动,因此有可能在生物细胞中产生电信号,例如神经尖峰。在许多应用中,重要的是不仅要记录尖峰,而且要测量这些小电流,以便了解信号生成中涉及哪些电化学过程,并直接测量反应中涉及的离子通道。 。实际上,离子流在几种生理过程中,神经信号产生中,以及在维持心跳和肌肉收缩中都起着关键作用。为此,已经开发了用于离子通道电流检测的读出电路的系统级实现。 ud
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