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Relevant bibliographies by topics / Neural prosthesis / Dissertations / Theses

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Dissertations / Theses on the topic 'Neural prosthesis'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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1

Williamson, Richard. "A new generation neural prosthesis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0021/NQ46945.pdf.

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2

Dommel, Norbert Brian Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "A vision prosthesis neurostimulator: progress towards the realisation of a neural prosthesis for the blind." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2008. http://handle.unsw.edu.au/1959.4/41249.

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Restoring vision to the blind has been an objective of several research teams for a number of years. It is known that spots of light -- phosphenes -- can be elicited by way of electrical stimulation of surviving retinal neurons. Beyond this, however, our understanding of prosthetic vision remains rudimentary. To advance the realisation of a clinically viable prosthesis for the blind, a versatile integrated circuit neurostimulator was designed, manufactured, and verified. The neurostimulator provides electrical stimuli to surviving neurons in the visual pathway, affording blind patients some f

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3

Tan, Daniel. "Restoring Sensation in Human Upper Extremity Amputees using Chronic Peripheral Nerve Interfaces." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405070015.

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4

BISONI, LORENZO. "An implantable micro-system for neural prosthesis control and sensory feedback restoration in amputees." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266608.

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In this work, the prototype of an electronic bi-directional interface between the Peripheral Nervous System (PNS) and a neuro-controlled hand prosthesis is presented. The system is composed of two Integrated Circuits (ICs): a standard CMOS device for neural recording and a High Voltage (HV) CMOS device for neural stimulation. The integrated circuits have been realized in two different 0.35μm CMOS processes available fromAustriaMicroSystem(AMS). The recoding IC incorporates 8 channels each including the analog front-end and the A/D conversion based on a sigma delta architecture. It has a

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5

Prodanov, Dimiter Petkov. "Morphometric analysis of the rat lower limb nerves anatomical data for neural prosthesis design /." Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/51110.

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6

Siu, Timothy Lok Tin Medical Sciences Faculty of Medicine UNSW. "Artificial vision: feasibility of an episcleral retinal prosthesis & implications of neuroplasticity." Awarded By:University of New South Wales. Medical Sciences, 2009. http://handle.unsw.edu.au/1959.4/42879.

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Background. A visual prosthesis is a conceptual device designed to activate residual functional neurons in the visual pathway of blind individuals to produce artificial vision. Such device, when applied to stimulate the vitreous surface of the retina, has proven feasible in producing patterned light perception in blind individuals suffering from dystrophic diseases of the retina, such as aged-related macular degeneration (AMD). However the practicality of such approach has been challenged by the difficulty of surgical access and the risks of damaging the neuroretina. Positioning a visual impla

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7

Bugbee, Martin Bryan. "An implantable stimulator for the selective stimulation of nerves." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369068.

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8

Al-Shueli, Assad. "Signal processing for advanced neural recording systems." Thesis, University of Bath, 2013. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577744.

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Many people around the world suffer from neurological injuries of various sorts that cause serious difficulties in their lives, due to the loss of important sensory and motor functions. Functional electrical stimulation (FES) provides a possible solution to these difficulties by means of a feedback connection allowing the target organ (or organs) to be controlled by electrical stimulation. The control signals can be provided using recorded data extracted from the nerves (electroneurogram, ENG). The most common and safe approaches for interfacing with nerves is called cuff electrodes which deli

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9

Smith, Alan. "Myoelectric control techniques for a rehabilitation robot /." Online version of thesis, 2009. http://hdl.handle.net/1850/10893.

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10

Hallum, Luke Edward Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Prosthetic vision : Visual modelling, information theory and neural correlates." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2008. http://handle.unsw.edu.au/1959.4/41450.

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Electrical stimulation of the retina affected by photoreceptor loss (e.g., cases of retinitis pigmentosa) elicits the perception of luminous spots (so-called phosphenes) in the visual field. This phenomenon, attributed to the relatively high survival rates of neurons comprising the retina's inner layer, serves as the cornerstone of efforts to provide a microelectronic retinal prosthesis -- a device analogous to the cochlear implant. This thesis concerns phosphenes -- their elicitation and modulation, and, in turn, image analysis for use in a prosthesis. This thesis begins with a comparative r

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11

Ross, James. "Microstimulation and multicellular analysis:." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24684.

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Thesis (Ph.D.)--Bioengineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Stephen P. DeWeerth; Committee Member: Bruce Wheeler; Committee Member: Michelle LaPlaca; Committee Member: Robert Lee; Committee Member: Steve Potter

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12

Pettersson, Jonas. "Biosynthetic conduits and cell transplantation for neural repair." Doctoral thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-42440.

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Spinal cord injury results in complete failure of the central neurons to regenerate and is associated with cyst formation and enlargement of the trauma zone. In contrast to the spinal cord, axons in the injured peripheral nerve have the capacity to undergo some spontaneous regeneration. However, significant post-traumatic loss of nervous tissue causing long nerve gap is one of the main reasons for the poor restoration of function following microsurgical repair of injured nerves. The present thesis investigates the effects of biodegradable conduits prepared from fibrin glue and poly-beta-hydrox

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13

Guo, Liang. "High-density stretchable microelectrode arrays: an integrated technology platform for neural and muscular surface interfacing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39513.

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Numerous applications in neuroscience research and neural prosthetics, such as retinal prostheses, spinal-cord surface stimulation for prosthetics, electrocorticogram (ECoG) recording for epilepsy detection, etc., involve electrical interaction with soft excitable tissues using a surface stimulation and/or recording approach. These applications require an interface that is able to set up electrical communications with a high throughput between electronics and the excitable tissue and that can dynamically conform to the shape of the soft tissue. Being a compliant and biocompatible material with

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14

Brenner, Maximilian. "Aktivní protéza ruky." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401959.

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BACKGROUND: Based on mainly vascular diseases and traumatic injuries, around 40,000 upper limb amputations are performed annually worldwide. The affected persons are strongly impaired in their physical abilities by such an intervention. Through myoelectric prostheses, affected persons are able to recover some of their abilities. METHODS: In order to control such prostheses, a system is to be developed by which electromyographic (EMG) measurements on the upper extremities can be carried out. The data obtained in this way should then be processed to recognize different gestures. These EMG measur

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15

Wenzel, Brian Jeffrey. "CLOSED-LOOP ELECTRICAL CONTROL OF URINARY CONTINENCE." Case Western Reserve University School of Graduate Studies / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=case1120932206.

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16

Araujo, Carlos Eduardo de. "Implante neural controlado em malha fechada." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1687.

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Um dos desafios propostos por pesquisadores em neurociência aos engenheiros biomédicos é a interação cérebro-máquina. O sistema nervoso comunica-se interpretando sinais eletroquímicos, e circuitos implantáveis podem tomar decisões de modo a interagir com o meio biológico. Sabe-se também que a doença de Parkinson está relacionada a um déficit do neurotransmissor dopamina. Para controlar a concentração de dopamina diferentes técnicas tem sido empregadas como estimuladores elétricos, magnéticos e drogas. Neste trabalho obteve-se o controle da concentração do neurotransmissor de maneira automática

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17

Cottance, Myline. "Contribution au développement d'interfaces neuro-électroniques." Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1105/document.

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Les travaux menés au cours de cette thèse portent sur la microfabrication d'interfaces neuro-électroniques pour des applications en neurosciences. Nous avons choisi de nos focaliser sur la réhabilitation fonctionnelle motrice et sensorielle en développant différentes matrices de micro-électrodes (MEA) respectivement, des sondes neuronales rigides et des implants rétiniens souples. Selon les applications visées, deux types de substrats ont été utilisés pour concevoir ces MEA. Pour des analyses ou expériences in-vitro, les MEA (sondes neuronales) ont plutôt été réalisées sur des substrats rigide

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18

Khademi, Gholamreza. "Design and Optimization of Locomotion Mode Recognition for Lower-Limb Amputees with Prostheses." Cleveland State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1568747409603973.

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19

Theogarajan, Luke Satish Kumar. "Supramolecular architectures for neural prostheses." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40514.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (leaves 213-230).<br>Neural prosthetic devices offer a means of restoring function that have been lost due to neural damage. The first part of this thesis investigates the design of a 15-channel, low-power, fully implantable stimulator chip. The chip is powered wirelessly and receives wireless commands. The chip features a CMOS only ASK detector, a single-differential converter based on a novel feedback loop, a low-power adaptive bandwidth D

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20

Harris, James Patrick. "The Glia-Neuronal Response to Cortical Electrodes: Interactions with Substrate Stiffness and Electrophysiology." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1320950439.

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21

Georgiou, Julius. "Micropower electronics for neural prosthetics." Thesis, Imperial College London, 2003. http://hdl.handle.net/10044/1/12029.

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22

Kallesøe, Klaus. "Implantable transducers for neurokinesiological research and neural prostheses." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0016/NQ37718.pdf.

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23

Afshar, Afsheen. "Neural mechanisms of motor preparation and applications to prostheses /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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24

Camargo, Daniel Rodrigues de. "Desenvolvimento do protótipo de uma prótese antropomórfica para membros superiores." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18151/tde-15102008-134653/.

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A finalidade desse trabalho é desenvolver um protótipo de uma prótese antropomórfica multifuncional para membros superiores para pacientes amputados. Seu objetivo é substituir a mão natural perdida, de forma a auxiliar a realização de algumas tarefas diárias do usuário. A prótese possuirá características antropomórficas, tais como aparência e movimentação semelhantes às da mão humana, e características naturais inerentes à mesma, por exemplo, o arco reflexo. Além disso, contará também com meios de realimentação táteis das informações de forças aplicadas pela prótese em objetos, bem como sua te

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25

Cao, Shiyan Burdick Joel Wakeman. "Spike train characterization and decoding for neural prosthetic devices /." Diss., Pasadena, Calif. : California Institute of Technology, 2004. http://resolver.caltech.edu/CaltechETD:etd-07232003-012018.

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26

Hudson, Nicolas Henry Burdick Joel Wakeman Burdick Joel Wakeman. "Inference in hybrid systems with applications in neural prosthetics /." Diss., Pasadena, Calif. : Caltech, 2009. http://resolver.caltech.edu/CaltechETD:etd-12312008-184713.

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27

Rapoport, Benjamin Isaac. "Neural prosthetics for paralysis : algorithms and low-power analog architectures for decoding neural signals." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39289.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2007.<br>Includes bibliographical references (leaves 119-122).<br>This thesis develops a system for adaptively and automatically learning to interpret patterns of electrical activity in neuronal populations in a real-time, on-line fashion. The system is primarily intended to enable the long-term implantation of low-power, microchip-based recording and decoding hardware in the brains of human patients in order to treat neurologic disorders. The decoding system developed in the present work interprets neural signals from the

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28

Krasoulis, Agamemnon. "Machine learning-based dexterous control of hand prostheses." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31213.

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Upper-limb myoelectric prostheses are controlled by muscle activity information recorded on the skin surface using electromyography (EMG). Intuitive prosthetic control can be achieved by deploying statistical and machine learning (ML) tools to decipher the user's movement intent from EMG signals. This thesis proposes various means of advancing the capabilities of non-invasive, ML-based control of myoelectric hand prostheses. Two main directions are explored, namely classification-based hand grip selection and proportional finger position control using regression methods. Several practical aspe

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29

Montgomery, Andrew Earl. "Novel Auto-Calibrating Neural Motor Decoder for Robust Prosthetic Control." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1535229803969101.

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30

Meeker, Daniella Elena Patricia Burdick Joel Wakeman. "Cognitive neural prosthetics : brain machine interfaces based in parietal cortex /." Diss., Pasadena, Calif. : California Institute of Technology, 2005. http://resolver.caltech.edu/CaltechETD:etd-06032005-170438.

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31

Haas, Alfred M. "Analog VLSI circuits for biosensors, neural signal processing and prosthetics." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9175.

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Thesis (Ph.D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Electrical and Computer Engineering . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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32

Tuft, Bradley William. "Photopolymerized materials and patterning for improved performance of neural prosthetics." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1410.

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Neural prosthetics are used to replace or substantially augment remaining motor and sensory functions of neural pathways that were lost or damaged due to physical trauma, disease, or genetics. However, due to poor spatial signal resolution, neural prostheses fail to recapitulate the intimate, precise interactions inherent to neural networks. Designing materials and interfaces that direct de novo nerve growth to spatially specific stimulating elements is, therefore, a promising method to enhance signal specificity and performance of prostheses such as the successful cochlear implant (CI) and th

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33

CARBONI, CATERINA. "Electronic bidirectional interfaces to the peripheral nervous system for prosthetic applications." Doctoral thesis, Università degli Studi di Cagliari, 2012. http://hdl.handle.net/11584/266148.

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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 me

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34

CARTA, NICOLA. "Acquisition systems and decoding algorithms of peripheral neural signals for prosthetic applications." Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266473.

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During the years, neuroprosthetic applications have obtained a great deal of attention by the international research, especially in the bioengineering field, thanks to the huge investments on several proposed projects funded by the political institutions which consider the treatment of this particular disease of fundamental importance for the global community. The aim of these projects is to find a possible solution to restore the functionalities lost by a patient subjected to an upper limb amputation trying to develop, according to physiological considerations, a communication link between

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35

ABBASS, YAHYA. "Human-Machine Interfaces using Distributed Sensing and Stimulation Systems." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1069056.

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As the technology moves towards more natural human-machine interfaces (e.g. bionic limbs, teleoperation, virtual reality), it is necessary to develop a sensory feedback system in order to foster embodiment and achieve better immersion in the control system. Contemporary feedback interfaces presented in research use few sensors and stimulation units to feedback at most two discrete feedback variables (e.g. grasping force and aperture), whereas the human sense of touch relies on a distributed network of mechanoreceptors providing a wide bandwidth of information. To provide this type of feedback,

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36

Clites, Tyler R. "An agonist-antagonist myoneural interface for proprioception from a neurally-controlled prosthesis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118023.

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Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 86-94).<br>Humans have the ability to precisely sense the position, speed, and torque of their body parts. This sense is known as proprioception, and is essential to human motor control. In the many attempts to create human-mechatronic interactions, there is still no robust, repeatable methodology to reflect proprioceptive information from a synthetic device onto the nervous system. As a solution to this shortcoming, I present the a

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37

Wang, Feng. "Adaptive fuzzy network with application to neural prosthetic control, a computer simulation study." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0028/MQ40121.pdf.

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38

Rogers, Emily S. M. Massachusetts Institute of Technology. "Neurally-controlled ankle-foot prosthesis with non-backdrivable transmission for rock climbing augmentation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121861.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 87-88).<br>This thesis presents the design and evaluation of a neurally-controlled ankle-foot prosthesis optimized to enhance rock climbing ability in persons with transtibial amputation. The bionic rock climbing prosthesis restores biologic performance of the ankle-foot complex. The user volitionally controls the positions of both the prosthetic ankle and subtalar joints via input from electromyography surface el

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39

Baccherini, Simona. "Pattern recognition methods for EMG prosthetic control." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12033/.

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In this work we focus on pattern recognition methods related to EMG upper-limb prosthetic control. After giving a detailed review of the most widely used classification methods, we propose a new classification approach. It comes as a result of comparison in the Fourier analysis between able-bodied and trans-radial amputee subjects. We thus suggest a different classification method which considers each surface electrodes contribute separately, together with five time domain features, obtaining an average classification accuracy equals to 75% on a sample of trans-radial amputees. We propose an a

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40

Srinivasan, Akhil. "The Georgia Tech regenerative electrode - A peripheral nerve interface for enabling robotic limb control using thought." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53911.

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Amputation is a life-changing event that results in a drastic reduction in quality of life including extreme loss of function and severe mental, emotional and physical pain. In order to mitigate these negative outcomes, there is great interest in the design of ‘advanced/robotic’ prosthetics that cosmetically and functionally mimic the lost limb. While the robotics side of advanced prosthetics has seen many advances recently, they still provide only a fraction of the natural limbs’ functionality. At the heart of the issue is the interface between the robotic limb and the individual that needs s

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41

Lertmanorat, Zeng. "An Electrode Array for Reversing the Recruitment Order of Peripheral Stimulation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=case1081641430.

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42

Twardowski, Michael D. "Deriving Motor Unit-based Control Signals for Multi-Degree-of-Freedom Neural Interfaces." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-dissertations/601.

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Beginning with the introduction of electrically powered prostheses more than 65 years ago surface electromyographic (sEMG) signals recorded from residual muscles in amputated limbs have served as the primary source of upper-limb myoelectric prosthetic control. The majority of these devices use one or more neural interfaces to translate the sEMG signal amplitude into voltage control signals that drive the mechanical components of a prosthesis. In so doing, users are able to directly control the speed and direction of prosthetic actuation by varying the level of muscle activation and the associa

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Leigh, Braden Lynn. "Engineering surfaces using photopolymerization to improve cochlear implant materials." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6176.

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Cochlear implants (CIs) help to restore basic auditory function in patients who are deaf or have profound hearing loss. However, CI patients suffer from limited voice and tonal perception due to spatial separation between the stimulating CI electrode and the receptor spiral ganglion neurons (SGNs). Directed regeneration of proximate SGN axons may improve tonal performance and implant fidelity by decreasing the spatial separation between the CI electrode and the neural receptor. Additionally, fibrous scar tissue formation on the surface of implanted electrodes further decreases tonal perception

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Wilmot, Timothy Allen Jr. "Intelligent Controls for a Semi-Active Hydraulic Prosthetic Knee." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1315531357.

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Perozzi, Marco. "A myo-controlled wearable manipulation system with tactile sensing for prosthetics studies." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25054/.

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The following thesis project aims to study and realize a wearable manipulation system composed by an AR10 robotic hand, controlled via myoelectric signals and tactile sensors for prosthetic studies. The project starts with the kinematic study of the hand via MATLAB and Simulink, in order to obtain a complete insight on the robotic grasping device. Thereafter, a wearable support has been designed and printed to fix the robotic hand around the user forearm. Surface electromyography is acquired using a gForce gesture armband. A Simulink system has been developed to acquire and filter the signals,

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Tarullo, Viviana. "Artificial Neural Networks for classification of EMG data in hand myoelectric control." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19195/.

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This thesis studies the state-of-the-art in myoelectric control of active hand prostheses for people with trans-radial amputation using pattern recognition and machine learning techniques. Our work is supported by Centro Protesi INAIL in Vigorso di Budrio (BO). We studied the control system developed by INAIL consisting in acquiring EMG signals from amputee subjects and using pattern recognition methods for the classifcation of acquired signals, associating them with specifc gestures and consequently commanding the prosthesis. Our work consisted in improving classifcation methods used in the l

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Frewin, Christopher L. "The Neuron-Silicon Carbide Interface: Biocompatibility Study and BMI Device Development." Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/1973.

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Damage to the central nervous system (CNS) leads to the generation of an immune response which culminates with the encapsulation of the damaged area. The encapsulation, known as a glial scar, essentially breaks neural signal pathways and blocks signal transmissions to and from the CNS. The effect is the loss of motor and sensory control for the damaged individual. One method that has been used successfully to treat this problem is the use of a brain-machine interface (BMI) which can intercept signals from the brain and use these signals to control a machine. Although there are many types of BM

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48

Davenport, Philip. "Performance evaluation of an ensemble neural network system of estimating transtibial prosthetic socket pressures during standing, walking and condition perturbation." Thesis, Bournemouth University, 2018. http://eprints.bournemouth.ac.uk/30420/.

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Providing suitable prosthetic sockets for the restoration of function following lower-limb amputation remains a significant issue in medical device prescription. Poorly designed sockets are associated with discomfort, poor quality function and injury, with quality linked to the capability of the socket to adequately distribute the forces from ambulation. Despite this link, systems of measuring stump-socket interface pressure have not seen use in clinical practice, in part due to limitations in functional performance. A technique using neural networks to relate external socket deformation to th

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Kirchhofer, Simon. "Conception d'une prothèse bio-inspirée commandée par réseaux de neurones exploitant les signaux électromyographiques." Thesis, Université Clermont Auvergne‎ (2017-2020), 2020. http://www.theses.fr/2020CLFAC058.

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Le développement de prothèses du membre supérieur est couramment divisé en deux parties : la conception mécatronique de la prothèse et l'interface homme-machine dédiée à la commande. L'objectif de cette thèse est de rapprocher ces deux domaines afin de mieux les assortir. Une première étape concerne l'acquisition et le traitement des signaux de commande. Ainsi, une base de données comprenant des signaux électromyographiques et des coordonnées articulaires mesurées par vision par ordinateur a été réalisée. Un réseau de neurones artificiels réalise ensuite la reconstruction de la position de la

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Ravikumar, Sahana. "A 3D-printed Fat-I BC-enabled prosthetic arm: Control based on brain neuronal data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442393.

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Abstract:

Neuroprosthetics enhance a variety of artificial devices that can beused to improve the quality of motor, sensory defects that emerge frombrain-injuries. Brain-Computer interface, as the name suggests,en compasses the interaction between brain and environment. The purpose of this thesis is to study the electrophysiological signals for controlling a prosthetic arm using fat intra-body communication(fat-IBC), in which the fat tissue inside the body is used as atransmission medium for low power microwaves. With the help of a standardized data-set of the recordings of UtahMicro-electrode Array, fr

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