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Artykuły w czasopismach na temat „Transhumeral prosthesis control”

Autor: Grafiati
Data publikacji: 19 października 2024
Data aktualizacji: 31 lipca 2025

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de Backer-Bes, Femke, Maaike Lange, Michael Brouwers, and Iris van Wijk. "De Hoogstraat Xperience Prosthesis Transhumeral: An Innovative Test Prosthesis." JPO Journal of Prosthetics and Orthotics 36, no. 3 (2024): 193–97. http://dx.doi.org/10.1097/jpo.0000000000000510.

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ABSTRACT Introduction To choose a suitable prosthesis, clients need to experience both the weight and the control of a prosthesis. A few years ago, De Hoogstraat Rehabilitation Center developed the Xperience Prosthesis for children and adults with a transradial congenital or acquired limb deficiency. Because of the positive effects, we developed a reusable test prosthesis for the transhumeral level. Xperience Prosthesis Transhumeral is an innovative test prosthesis and an essential tool in managing expectations when providing clients with a suitable upper-limb prosthesis. Xperience Prosthesis
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Tereshenko, Vlad, Riccardo Giorgino, Kyle R. Eberlin, et al. "Emerging Value of Osseointegration for Intuitive Prosthetic Control after Transhumeral Amputations: A Systematic Review." Plastic and Reconstructive Surgery - Global Open 12, no. 5 (2024): e5850. http://dx.doi.org/10.1097/gox.0000000000005850.

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Background: Upper extremity limb loss profoundly impacts a patient’s quality of life and well-being and carries a significant societal cost. Although osseointegration allows the attachment of the prosthesis directly to the bone, it is a relatively recent development as an alternative to conventional socket prostheses. The objective of this review was to identify reports on osseointegrated prosthetic embodiment for transhumeral amputations and assess the implant systems used, postoperative outcomes, and complications. Methods: A systematic review following PRISMA and AMSTAR guidelines assessed
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Sattar, Neelum Yousaf, Zareena Kausar, Syed Ali Usama, et al. "fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees." Sensors 22, no. 3 (2022): 726. http://dx.doi.org/10.3390/s22030726.

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Prosthetic arms are designed to assist amputated individuals in the performance of the activities of daily life. Brain machine interfaces are currently employed to enhance the accuracy as well as number of control commands for upper limb prostheses. However, the motion prediction for prosthetic arms and the rehabilitation of amputees suffering from transhumeral amputations is limited. In this paper, functional near-infrared spectroscopy (fNIRS)-based approach for the recognition of human intention for six upper limb motions is proposed. The data were extracted from the study of fifteen healthy
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Molina Arias, Ludwin, Marek Iwaniec, Paulina Pirowska, Magdalena Smoleń, and Piotr Augustyniak. "Head and Voice-Controlled Human-Machine Interface System for Transhumeral Prosthesis." Electronics 12, no. 23 (2023): 4770. http://dx.doi.org/10.3390/electronics12234770.

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The design of artificial limbs is a research topic that has, over time, attracted considerable interest from researchers in various fields of study, such as mechanics, electronics, robotics, and neuroscience. Continuous efforts are being made to build electromechanical systems functionally equivalent to the original limbs and to develop strategies to control them appropriately according to the intentions of the user. The development of Human–Machine Interfaces (HMIs) is a key point in the development of upper limb prostheses, since the actions carried out with the upper limbs lack fixed patter
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Alshammary, Nasser A., Daniel A. Bennett, and Michael Goldfarb. "Synergistic Elbow Control for a Myoelectric Transhumeral Prosthesis." IEEE Transactions on Neural Systems and Rehabilitation Engineering 26, no. 2 (2018): 468–76. http://dx.doi.org/10.1109/tnsre.2017.2781719.

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Ahmed, Muhammad Hannan, Jiazheng Chai, Shingo Shimoda, and Mitsuhiro Hayashibe. "Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion." Sensors 23, no. 9 (2023): 4188. http://dx.doi.org/10.3390/s23094188.

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Transhumeral amputees experience considerable difficulties with controlling a multifunctional prosthesis (powered hand, wrist, and elbow) due to the lack of available muscles to provide electromyographic (EMG) signals. The residual limb motion strategy has become a popular alternative for transhumeral prosthesis control. It provides an intuitive way to estimate the motion of the prosthesis based on the residual shoulder motion, especially for target reaching tasks. Conventionally, a predictive model, typically an artificial neural network (ANN), is directly trained and relied upon to map the s
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OʼShaughnessy, Kristina D., Gregory A. Dumanian, Robert D. Lipschutz, Laura A. Miller, Kathy Stubblefield, and Todd A. Kuiken. "Targeted Reinnervation to Improve Prosthesis Control in Transhumeral Amputees." Journal of Bone & Joint Surgery 90, no. 2 (2008): 393–400. http://dx.doi.org/10.2106/jbjs.g.00268.

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Nsugbe, Ejay, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, and Guanglin Li. "A Self-Learning and Adaptive Control Scheme for Phantom Prosthesis Control Using Combined Neuromuscular and Brain-Wave Bio-Signals." Engineering Proceedings 2, no. 1 (2020): 59. http://dx.doi.org/10.3390/ecsa-7-08169.

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The control scheme in a myoelectric prosthesis includes a pattern recognition section whose task is to decode an input signal, produce a respective actuation signal and drive the motors in the prosthesis limb towards the completion of the user’s intended gesture motion. The pattern recognition architecture works with a classifier which is typically trained and calibrated offline with a supervised learning framework. This method involves the training of classifiers which form part of the pattern recognition scheme, but also induces additional and often undesired lead time in the prosthesis desi
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Nsugbe, Ejay, Carol Phillips, Mike Fraser, and Jess McIntosh. "Gesture recognition for transhumeral prosthesis control using EMG and NIR." IET Cyber-Systems and Robotics 2, no. 3 (2020): 122–31. http://dx.doi.org/10.1049/iet-csr.2020.0008.

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Hebert, Jacqueline S., K. Ming Chan, and Michael R. Dawson. "Cutaneous sensory outcomes from three transhumeral targeted reinnervation cases." Prosthetics and Orthotics International 40, no. 3 (2016): 303–10. http://dx.doi.org/10.1177/0309364616633919.

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Background: Although targeted muscle reinnervation has been shown to be effective in enhancing prosthetic control for upper limb amputees, restored hand sensations have been variable. An understanding of possible sensory feedback channels is crucial in working toward more effective closed-loop prosthetic control. Objectives: To compare sensory outcomes of different targeted sensory reinnervation approaches. Study design: Case series, cross-sectional, and retrospective. Methods: Three transhumeral amputees that had undergone different sensory reinnervation approaches were recruited. Skin pressu
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Cifuentes-Cuadros, Alonso A., Enzo Romero, Sebastian Caballa, Daniela Vega-Centeno, and Dante A. Elias. "The LIBRA NeuroLimb: Hybrid Real-Time Control and Mechatronic Design for Affordable Prosthetics in Developing Regions." Sensors 24, no. 1 (2023): 70. http://dx.doi.org/10.3390/s24010070.

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Globally, 2.5% of upper limb amputations are transhumeral, and both mechanical and electronic prosthetics are being developed for individuals with this condition. Mechanics often require compensatory movements that can lead to awkward gestures. Electronic types are mainly controlled by superficial electromyography (sEMG). However, in proximal amputations, the residual limb is utilized less frequently in daily activities. Muscle shortening increases with time and results in weakened sEMG readings. Therefore, sEMG-controlled models exhibit a low success rate in executing gestures. The LIBRA Neur
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Fite, Kevin B., Thomas J. Withrow, Xiangrong Shen, Keith W. Wait, Jason E. Mitchell, and Michael Goldfarb. "A Gas-Actuated Anthropomorphic Prosthesis for Transhumeral Amputees." IEEE Transactions on Robotics 24, no. 1 (2008): 159–69. http://dx.doi.org/10.1109/tro.2007.914845.

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Lenzi, Tommaso, James Lipsey, and Jonathon W. Sensinger. "The RIC Arm—A Small Anthropomorphic Transhumeral Prosthesis." IEEE/ASME Transactions on Mechatronics 21, no. 6 (2016): 2660–71. http://dx.doi.org/10.1109/tmech.2016.2596104.

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Simon, Ann M., Kristi L. Turner, Laura A. Miller, et al. "Myoelectric prosthesis hand grasp control following targeted muscle reinnervation in individuals with transradial amputation." PLOS ONE 18, no. 1 (2023): e0280210. http://dx.doi.org/10.1371/journal.pone.0280210.

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Background Despite the growing availability of multifunctional prosthetic hands, users’ control and overall functional abilities with these hands remain limited. The combination of pattern recognition control and targeted muscle reinnervation (TMR) surgery, an innovative technique where amputated nerves are transferred to reinnervate new muscle targets in the residual limb, has been used to improve prosthesis control of individuals with more proximal upper limb amputations (i.e., shoulder disarticulation and transhumeral amputation). Objective The goal of this study was to determine if prosthe
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15

Maas, Bart, Zack A. Wright, Blair A. Lock, Corry K. van der Sluis, and Raoul M. Bongers. "Using Serious Games to Measure Upper-Limb Myoelectric Pattern Recognition Prosthesis Control Performance in an At-Home Environment." JPO Journal of Prosthetics and Orthotics 36, no. 3 (2024): 153–60. http://dx.doi.org/10.1097/jpo.0000000000000503.

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Abstract Introduction Upper-limb prostheses have undergone substantial technological improvements in the last two decades, but user complaints and abandonment rates have hardly changed. This may follow from the use of laboratory-based tests when assessing new technology instead of measuring prosthesis use in at-home situations. Serious games might be used to assess prosthesis use at home. Objectives The aim of this study was to assess the feasibility, validity, and reliability of using serious games to measure myocontrol in at-home situations. Study Design The design of this study is a cohort
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Hernández-Cerero, Ramsés, Juan Alejandro Flores-Campos, José Juan Mojica-Martínez, Adolfo Angel Casarez-Duran, Luis Angel Guerrero-Hernández, and Christopher René Torres-SanMiguel. "Mechanical Design, Control, and Laboratory Test of a Two-Degrees-of-Freedom Elbow Prosthesis." Bioengineering 12, no. 7 (2025): 695. https://doi.org/10.3390/bioengineering12070695.

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This study presents the design and experimental testing of a two-degrees-of-freedom (2DOF) elbow prosthesis prototype designed to replicate the movement patterns of a native or normal human elbow. Two methods of the control of the prosthesis, namely, the proportional–integral–derivative method (PID; a well-established method) and a combination of sliding mode control with a time base generator strategy (SMC + TBG; an advanced method), were compared on the basis of various performance metrics of the prosthesis, as obtained in laboratory tests. Among these metrics were the angular displacement a
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Gu, Yikun, Dapeng Yang, Luke Osborn, Daniel Candrea, Hong Liu, and Nitish Thakor. "An adaptive socket with auto-adjusting air bladders for interfacing transhumeral prosthesis: A pilot study." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 233, no. 8 (2019): 812–22. http://dx.doi.org/10.1177/0954411919853960.

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Comfort is a critical aspect in the application of wearable device, such as rehabilitation robots and upper limb prostheses. As a physical interface between human body and prosthetic limb, the socket and its comfort largely contribute to the user’s acceptance. Traditional sockets are static, lacking dynamic adjustment mechanism for the contact pressure. To ensure a reliable suspension during daily activities, the socket is usually designed to be tightly attached, with a large stress, on the residual limb, which may introduce considerable discomfort during long-term use. In this article, we pre
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Segura, Diego, Enzo Romero, Victoria E. Abarca, and Dante A. Elias. "Upper Limb Prostheses by the Level of Amputation: A Systematic Review." Prosthesis 6, no. 2 (2024): 277–300. http://dx.doi.org/10.3390/prosthesis6020022.

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This review article aims to provide an updated and comprehensive overview of the latest trends in adult upper limb prostheses, specifically targeting various amputation levels such as transradial, transmetacarpal, transcarpal, and transhumeral. A systematic search was conducted across multiple databases, including IEEE Xplore, MDPI, Scopus, Frontiers, and Espacenet, covering from 2018 to 2023. After applying exclusion criteria, 49 scientific articles (33 patents and 16 commercial prostheses) were meticulously selected for review. The article offers an in-depth analysis of several critical aspe
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Wang, Bingbin, Levi Hargrove, Xinqi Bao, and Ernest N. Kamavuako. "Surface EMG Statistical and Performance Analysis of Targeted-Muscle-Reinnervated (TMR) Transhumeral Prosthesis Users in Home and Laboratory Settings." Sensors 22, no. 24 (2022): 9849. http://dx.doi.org/10.3390/s22249849.

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A pattern-recognition (PR)-based myoelectric control system is the trend of future prostheses development. Compared with conventional prosthetic control systems, PR-based control systems provide high dexterity, with many studies achieving >95% accuracy in the last two decades. However, most research studies have been conducted in the laboratory. There is limited research investigating how EMG signals are acquired when users operate PR-based systems in their home and community environments. This study compares the statistical properties of surface electromyography (sEMG) signals used to cali
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Ahmed, Muhammad Hannan, Kyo Kutsuzawa, and Mitsuhiro Hayashibe. "Transhumeral Arm Reaching Motion Prediction through Deep Reinforcement Learning-Based Synthetic Motion Cloning." Biomimetics 8, no. 4 (2023): 367. http://dx.doi.org/10.3390/biomimetics8040367.

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The lack of intuitive controllability remains a primary challenge in enabling transhumeral amputees to control a prosthesis for arm reaching with residual limb kinematics. Recent advancements in prosthetic arm control have focused on leveraging the predictive capabilities of artificial neural networks (ANNs) to automate elbow joint motion and wrist pronation–supination during target reaching tasks. However, large quantities of human motion data collected from different subjects for various activities of daily living (ADL) tasks are required to train these ANNs. For example, the reaching motion
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Nsugbe, Ejay, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, and Guanglin Li. "Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals." IET Cyber-Systems and Robotics 3, no. 1 (2021): 77–88. http://dx.doi.org/10.1049/csy2.12009.

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Schlüter, Christoph, Washington Caraguay, and Doris Cáliz Ramos. "Development of a low-cost EMG-data acquisition armband to control an above-elbow prosthesis." Journal of Physics: Conference Series 2232, no. 1 (2022): 012019. http://dx.doi.org/10.1088/1742-6596/2232/1/012019.

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Abstract This work presents the development and implementation of an armband for EMG-data acquisition of the upper arm. The developed prototype serves for investigations on EMG-signal processing with the final objective of reliably controlling a prosthesis for a transhumeral amputee. To make the product available for a greatest possible number of people one of the main characteristics will be a design of very low cost. A focus is put on the electric circuit design. In order to manufacture the prototype without difficulties, it is exclusively designed with components, which are available on the
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Schofield, Jonathon S., Katherine R. Schoepp, Michael Stobbe, Paul D. Marasco, and Jacqueline S. Hebert. "Fabrication and application of an adjustable myoelectric transhumeral prosthetic socket." Prosthetics and Orthotics International 43, no. 5 (2019): 564–67. http://dx.doi.org/10.1177/0309364619836353.

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Background and Aim: Although upper limb myoelectric prostheses can offer improved functionality and dexterity over body-powered systems, abandonment rates remain high. User dissatisfaction in comfort and control are among the top contributors. The design of the prosthetic socket must be comfortable, while maintaining contact of control electrodes with the residual limb throughout the day. We present a myoelectric socket design that provides user-adjustable compression over electrode control sites to promote consistent control, while maintaining comfort and fit. Technique: A cable tensioning sy
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Li, Sujiao, Wanjing Sun, Wei Li, and Hongliu Yu. "Enhancing Robustness of Surface Electromyography Pattern Recognition at Different Arm Positions for Transhumeral Amputees Using Deep Adversarial Inception Domain Adaptation." Applied Sciences 14, no. 8 (2024): 3417. http://dx.doi.org/10.3390/app14083417.

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Pattern recognition in myoelectric control that relies on the myoelectric activity associated with arm motions is an effective control method applied to myoelectric prostheses. Individuals with transhumeral amputation face significant challenges in effectively controlling their prosthetics, as muscle activation varies with changes in arm positions, leading to a notable decrease in the accuracy of motion pattern recognition and consequently resulting in a high rejection rate of prosthetic devices. Therefore, to achieve high accuracy and arm position stability in upper-arm motion recognition, we
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Pulliam, Christopher L., Joris M. Lambrecht, and Robert F. Kirsch. "Electromyogram-based neural network control of transhumeral prostheses." Journal of Rehabilitation Research and Development 48, no. 6 (2011): 739. http://dx.doi.org/10.1682/jrrd.2010.12.0237.

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Hallworth, Ben W., James A. Austin, Heather E. Williams, Mayank Rehani, Ahmed W. Shehata, and Jacqueline S. Hebert. "A Modular Adjustable Transhumeral Prosthetic Socket for Evaluating Myoelectric Control." IEEE Journal of Translational Engineering in Health and Medicine 8 (2020): 1–10. http://dx.doi.org/10.1109/jtehm.2020.3006416.

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Merad, M., E. de Montalivet, M. Legrand, et al. "Assessment of an Automatic Prosthetic Elbow Control Strategy Using Residual Limb Motion for Transhumeral Amputated Individuals With Socket or Osseointegrated Prostheses." IEEE Transactions on Medical Robotics and Bionics 2, no. 1 (2020): 38–49. http://dx.doi.org/10.1109/tmrb.2020.2970065.

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KALIKI, RAHUL R., RAHMAN DAVOODI, and GERALD E. LOEB. "PREDICTION OF ELBOW TRAJECTORY FROM SHOULDER ANGLES USING NEURAL NETWORKS." International Journal of Computational Intelligence and Applications 07, no. 03 (2008): 333–49. http://dx.doi.org/10.1142/s1469026808002296.

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Patients with transhumeral amputations and C5/C6 quadriplegia may be able to use voluntary shoulder motion as command signals for powered prostheses and functional electrical stimulation, respectively. Spatiotemporal synergies exist between the shoulder and elbow joints for goal-oriented reaching movements as performed by able-bodied subjects. We are using a multi-layer perceptron neural network to discover and embody these synergies. Such a network could be used as a high-level controller that could predict the desired distal arm joint kinematics from the voluntary movements of the shoulder j
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Jarrasse, N., D. Müller, E. De Montalivet, et al. "A simple movement based control approach to ease the control of a myoelectric elbow prosthetics in transhumeral amputees." Annals of Physical and Rehabilitation Medicine 61 (July 2018): e471. http://dx.doi.org/10.1016/j.rehab.2018.05.1100.

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Cooke, Deirdre M., Matthew Ames, and Saul Geffen. "Life without limbs: Technology to the rescue." Prosthetics and Orthotics International 40, no. 4 (2015): 517–21. http://dx.doi.org/10.1177/0309364615579316.

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Background:This article reports a rare and inspirational case of a four-limb amputee, the range of integrated technology solutions that enable him to be a productive member of his family and the process and pitfalls of seeking technology solutions.Case description and methods:A complex case of bilateral transhumeral amputation and bilateral transfemoral amputation with residual upper limbs too short to oppose is presented. The multiple ‘high-tech’ and ‘low-tech’ devices used on a daily basis to move around his house and community, control his environment, communicate and feed himself without t
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Lontis, Eugen Romulus, Ken Yoshida, and Winnie Jensen. "Non-Invasive Sensory Input Results in Changes in Non-Painful and Painful Sensations in Two Upper-Limb Amputees." Prosthesis 6, no. 1 (2023): 1–23. http://dx.doi.org/10.3390/prosthesis6010001.

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Designs of active prostheses attempt to compensate for various functional losses following amputation. Integration of sensory feedback with the functional control re-enables sensory interaction with the environment through the prosthetic. Besides the functional and sensory loss, amputation induces anatomical and physiological changes of the sensory neural pathways, both peripherally and centrally, which can lead to phantom limb pain (PLP). Additionally, referred sensation areas (RSAs) likely originating from peripheral nerve sprouting, regeneration, and sensory reinnervation may develop. RSAs
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WATANABE, Takahiro, Kengo OHNISHI, and Keiji IMADO. "B211 Fundamental experiment for mechanics-based adjustment of the Bowden cable control system for body-powered transhumeral prostheses." Proceedings of the JSME Conference on Frontiers in Bioengineering 2007.18 (2007): 133–34. http://dx.doi.org/10.1299/jsmebiofro.2007.18.133.

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Webster, Joseph, Jeffrey Heckman, Matthew Borgia, Jemy Delikat, and Linda Resnik. "Outcomes in transhumeral upper limb amputation with osseointegration and targeted muscle reinnervation: A preliminary observational cohort study." PM&R, May 29, 2025. https://doi.org/10.1002/pmrj.13407.

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AbstractBackgroundLittle is known about outcomes associated with the combination of osseointegration (OI) and targeted muscle reinnervation (TMR) in upper limb amputation (ULA).ObjectivesTo describe functional outcomes of three cases with OI and TMR who used myoelectric prostheses and compare outcomes to matched control groups.DesignAn observational cohort, quasiexperimental design with nonequivalent control groups was used. Wilcoxon Mann–Whitney and Fisher's exact tests compared outcomes between OI cases, control group 1 (six myoelectric/hybrid users without TMR or OI), and control group 2 (s
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Earley, Eric J., Anton Berneving, Jan Zbinden, and Max Ortiz-Catalan. "Neurostimulation artifact removal for implantable sensors improves signal clarity and decoding of motor volition." Frontiers in Human Neuroscience 16 (October 19, 2022). http://dx.doi.org/10.3389/fnhum.2022.1030207.

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As the demand for prosthetic limbs with reliable and multi-functional control increases, recent advances in myoelectric pattern recognition and implanted sensors have proven considerably advantageous. Additionally, sensory feedback from the prosthesis can be achieved via stimulation of the residual nerves, enabling closed-loop control over the prosthesis. However, this stimulation can cause interfering artifacts in the electromyographic (EMG) signals which deteriorate the reliability and function of the prosthesis. Here, we implement two real-time stimulation artifact removal algorithms, Templ
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Zbinden, Jan, Paolo Sassu, Enzo Mastinu, et al. "Improved control of a prosthetic limb by surgically creating electro-neuromuscular constructs with implanted electrodes." Science Translational Medicine 15, no. 704 (2023). http://dx.doi.org/10.1126/scitranslmed.abq3665.

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Remnant muscles in the residual limb after amputation are the most common source of control signals for prosthetic hands, because myoelectric signals can be generated by the user at will. However, for individuals with amputation higher up the arm, such as an above-elbow (transhumeral) amputation, insufficient muscles remain to generate myoelectric signals to enable control of the lost arm and hand joints, thus making intuitive control of wrist and finger prosthetic joints unattainable. We show that severed nerves can be divided along their fascicles and redistributed to concurrently innervate
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Razak, N. A. Abd, H. Gholizadeh, N. Hasnan, N. A. Abu Osman, S. S. Mohd Fadzil, and N. A. Hashim. "An anthropomorphic transhumeral prosthesis socket developed based on an oscillometric pump and controlled by force-sensitive resistor pressure signals." Biomedical Engineering / Biomedizinische Technik 62, no. 1 (2017). http://dx.doi.org/10.1515/bmt-2015-0106.

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AbstractWhile considering the importance of the interface between amputees and prosthesis sockets, we study an anthropomorphic prosthesis socket whose size can be dynamically changed according to the requirements of the residual limb. First, we introduce the structure and function of the anthropomorphic prosthesis socket. Second, we study the dynamic model of the prosthesis system and analyze the dynamic characteristics of the prosthesis socket system, the inputs of an oscillometric pump, and the control mechanism of force-sensitive resistor (FSR) pressure signals. Experiments on 10 healthy su
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"Towards Control of a Transhumeral Prosthesis with EEG Signals." Bioengineering 5, no. 2 (2018): 26. http://dx.doi.org/10.3390/bioengineering5020026.

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Toedtheide, Alexander, Edmundo Pozo Fortunić, Johannes Kühn, Elisabeth Jensen, and Sami Haddadin. "A transhumeral prosthesis with an artificial neuromuscular system: Sim2real-guided design, modeling, and control." International Journal of Robotics Research, February 20, 2024. http://dx.doi.org/10.1177/02783649231218719.

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In this work we introduce a new type of human-inspired upper-limb prostheses. The Artificial Neuromuscular Prosthesis (ANP) imitates the human neuromuscular system in the sense of its compliance, backdrivability, natural motion, proprioceptive sensing, and kinesthetics. To realize this challenging goal, we introduce a novel human-inspired and simulation-based development paradigm to design the prosthesis mechatronics in correspondence to the human body. The ANP provides body awareness, contact awareness, and human-like contact response, realized via floating base rigid-body models, disturbance
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Sattar, Neelum Yousaf, Zareena Kausar, Syed Ali Usama, Umer Farooq, and Umar Shahbaz Khan. "EMG Based Control of Transhumeral Prosthesis Using Machine Learning Algorithms." International Journal of Control, Automation and Systems, July 27, 2021. http://dx.doi.org/10.1007/s12555-019-1058-5.

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Said, Hakim, Todd Kuiken, Robert Lipzchutz, Laura Miller, and Gregory Dumanian. "Nerve Transfers in Transhumeral Amputation: Creating Myoneurosomes for Improved Myoelectric Prosthesis Control." Journal of Reconstructive Microsurgery 21, no. 07 (2005). http://dx.doi.org/10.1055/s-2005-918994.

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Choi, Benjamin J., and Ji Liu. "A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system." Journal of Neural Engineering, January 24, 2025. https://doi.org/10.1088/1741-2552/adae35.

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Abstract Objective
Key challenges in upper limb prosthetics include a lack of effective control systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive costs. As a result, disuse rates remain high despite potential for increased quality of life. To address these concerns, this project developed a low cost, noninvasive transhumeral neuroprosthesis—operated via a combination of electroencephalography (EEG) signals and head gestures. 

Approach
To address the shortcomings of current noninvasive neural monitoring techniques—namel
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Mastinu, Enzo, Leonard F. Engels, Francesco Clemente, et al. "Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-67985-5.

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Abstract Conventional prosthetic arms suffer from poor controllability and lack of sensory feedback. Owing to the absence of tactile sensory information, prosthetic users must rely on incidental visual and auditory cues. In this study, we investigated the effect of providing tactile perception on motor coordination during routine grasping and grasping under uncertainty. Three transhumeral amputees were implanted with an osseointegrated percutaneous implant system for direct skeletal attachment and bidirectional communication with implanted neuromuscular electrodes. This neuromusculoskeletal pr
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Segas, Effie, Sébastien Mick, Vincent Leconte, et al. "Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality." eLife 12 (October 17, 2023). http://dx.doi.org/10.7554/elife.87317.3.

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Impressive progress is being made in bionic limbs design and control. Yet, controlling the numerous joints of a prosthetic arm necessary to place the hand at a correct position and orientation to grasp objects remains challenging. Here, we designed an intuitive, movement-based prosthesis control that leverages natural arm coordination to predict distal joints missing in people with transhumeral limb loss based on proximal residual limb motion and knowledge of the movement goal. This control was validated on 29 participants, including seven with above-elbow limb loss, who picked and placed bott
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Jarrassé, Nathanaël, Etienne de Montalivet, Florian Richer, et al. "Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Without Surgical Reinnervation: A Preliminary Study." Frontiers in Bioengineering and Biotechnology 6 (November 29, 2018). http://dx.doi.org/10.3389/fbioe.2018.00164.

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Jasti, Harshitha. "Utilizing EEG Signal Data and Motion to Aid in Prosthetic Hand Motion." Journal of Student Research 12, no. 4 (2023). http://dx.doi.org/10.47611/jsrhs.v12i4.5883.

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Current prosthetic arm technologies are often difficult to use intuitively by amputees, require invasive surgical procedures, and can be extremely costly with prices ranging from $20,000 to $80,000. To address these challenges, the engineering goal of this project aims to design a smart, low-cost, mind-controlled transhumeral prosthesis by integrating the brain-interfacing capabilities of electroencephalography (EEG), the economical means of 3D printing technology, and gesture-detecting attributes of an accelerometer-gyroscope. Single-channel brain signals are transmitted through Bluetooth to
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Toedtheide, Alexander, Edmundo Pozo Fortunić, Johannes Kühn, Elisabeth Rose Jensen, and Sami Haddadin. "A Wearable Force-Sensitive and Body-Aware Exoprosthesis for a Transhumeral Prosthesis Socket." IEEE Transactions on Robotics, 2023, 1–21. http://dx.doi.org/10.1109/tro.2023.3251947.

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Chateaux, Manon, Olivier Rossel, Fabien Vérité, et al. "New insights into muscle activity associated with phantom hand movements in transhumeral amputees." Frontiers in Human Neuroscience 18 (August 30, 2024). http://dx.doi.org/10.3389/fnhum.2024.1443833.

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IntroductionMuscle activity patterns in the residual arm are systematically present during phantom hand movements (PHM) in transhumeral amputees. However, their characteristics have not been directly investigated yet, leaving their neurophysiological origin poorly understood. This study pioneers a neurophysiological perspective in examining PHM-related muscle activity patterns by characterizing and comparing them with those in the arm, forearm, and hand muscles of control participants executing intact hand movements (IHM) of similar types.MethodsTo enable rigorous comparison, we developed meta
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Calvo Sanz, Jordi, Mª Angeles Diaz Vela, Alberto Jardón Huete, et al. "Training in the Use of Myoelectric Prostheses Through the Combined Application of Immersive Virtual Reality, Cross-education, and Mirror Therapy." JPO Journal of Prosthetics and Orthotics, November 7, 2024. http://dx.doi.org/10.1097/jpo.0000000000000543.

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ABSTRACT Introduction During the rehabilitation process (RHB) of the patient with traumatic upper-limb amputation, the use of immersive virtual reality (IVR) facilitates the incorporation of the prosthesis into the body schema. This reinforces and enhances sensorimotor and cognitive stimulation to improve motor learning and motor patterns, while normalizing global gestures. Objectives The aims of this study were to implement retraining of gestural acquisition and prosthetic control in patients with upper-limb injuries and amputations through IVR, and to then incorporate this in the normalizati
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Chi, Albert. "Improved Control of a Virtual Prosthesis Using a Pattern Recognition Algorithm and an Interactive Training Environment in a Transhumeral Amputee Demonstrating Local Reinnervation." Biomedical Journal of Scientific & Technical Research 18, no. 3 (2019). http://dx.doi.org/10.26717/bjstr.2019.18.003143.

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Brauckmann, Vesta, Jorge Mayor, Luisa Ernst, and Jennifer Ernst. "How a robotic visualization system can facilitate targeted muscle reinnervation." Journal of Reconstructive Microsurgery Open, July 21, 2023. http://dx.doi.org/10.1055/a-2134-8633.

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Background:To enable and further improve microsurgical outcomes, different loupes and optic based microscopes have been proposed in recent years. In amputation surgery continuous progress and prosthetic developments have provided amputees with improved degree of function and quality of life.We present a 17-year-old patient who suffered traumatic loss of the left upper limb and underwent TMR-surgery facilitated by a 3D-robotic-exoscope-system. Methods:The rerouting of the distal ends of the arm-nerves (Targeted Muscle Reinnervation) was performed in the upper limb of a traumatic transhumeral am
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