Готові списки джерел за темами / Bionic hand prosthesis

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Добірка наукової літератури з теми "Bionic hand prosthesis"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Bionic hand prosthesis"

Xu, Zhuo Jun, Yan Tao Tian, Zhi Ming Yang, and Yang Li. "Pattern Recognition of Finger Joint Angle for Intelligent Bionic Hand Using sEMG." Applied Mechanics and Materials 448-453 (October 2013): 3561–65. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3561.

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Finger joint angle pattern recognition is significant for the development of an intelligent bionic hand. It makes the intelligent prosthesis understand the users intension more accurately and complete movements better. Surface electromyography signals have been widely used in intelligent bionics prosthesis research and rehabilitation medicine due to its advantages like high efficiency, convenient collection and non-invasive access. An improved grid-search method using a support vector machine has been proposed for the finger joint angle pattern recognition issue in surface electromyography signals. Pattern recognition for surface electromyography signals of index finger movement and metacarpophalangeal joint angle has been performed. Better classification performance was achieved through screening of feature vector combined with an improved grid-search support vector machine classification algorithm.

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George, J. A., D. T. Kluger, T. S. Davis, S. M. Wendelken, E. V. Okorokova, Q. He, C. C. Duncan, et al. "Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand." Science Robotics 4, no. 32 (July 24, 2019): eaax2352. http://dx.doi.org/10.1126/scirobotics.aax2352.

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We describe use of a bidirectional neuromyoelectric prosthetic hand that conveys biomimetic sensory feedback. Electromyographic recordings from residual arm muscles were decoded to provide independent and proportional control of a six-DOF prosthetic hand and wrist—the DEKA LUKE arm. Activation of contact sensors on the prosthesis resulted in intraneural microstimulation of residual sensory nerve fibers through chronically implanted Utah Slanted Electrode Arrays, thereby evoking tactile percepts on the phantom hand. With sensory feedback enabled, the participant exhibited greater precision in grip force and was better able to handle fragile objects. With active exploration, the participant was also able to distinguish between small and large objects and between soft and hard ones. When the sensory feedback was biomimetic—designed to mimic natural sensory signals—the participant was able to identify the objects significantly faster than with the use of traditional encoding algorithms that depended on only the present stimulus intensity. Thus, artificial touch can be sculpted by patterning the sensory feedback, and biologically inspired patterns elicit more interpretable and useful percepts.

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Werner, Dennis, and Seyed Arash Alawi. "Correction to: Hand Bionic Score: a clinical follow-up study of severe hand injuries and development of a recommendation score to supply bionic prosthesis." European Journal of Plastic Surgery 45, no. 1 (November 15, 2021): 211. http://dx.doi.org/10.1007/s00238-021-01913-2.

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Flores-Luna, Rosa Itzel, Jesús Manuel Dorador-González, and Adrian Espinosa-Bautista. "Prosthesis Analysis Based on TRIZ." Key Engineering Materials 572 (September 2013): 135–38. http://dx.doi.org/10.4028/www.scientific.net/kem.572.135.

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The Mechanical and Technological Innovation Centre (CDMIT) of the National Autonomous University of Mexico has a research area focused on the design of upper limb prosthesis. A large number of prosthesis have been developed and tested. This paper presents the analysis made to different proposals of myoelectric hands based on TRIZ. Two TRIZ tools were applied: The Innovation Situation Questionnaire (ISQ) and the Radar of Evolution. The analysis was made in terms of time, space and the user interface. The ISQ helps to better define the scope of the problem through six basic questions; each question provides a different view of the problem. The radar of evolution helps to make a selection of trends of evolution depending on the product or system, as an analogy of a benchmark. The analysis was made considering the state-of-the-art hand prosthesis: i-limb, be-bionic, Michelangelo and Myohand against the prosthesis prototypes developed by the CDMIT. The result of this tool is a diagram that reveals the level and opportunities of evolution. These opportunities imply a strengthening of research areas not only in the CDMIT but around the world. The conclusion achieved is that different design paradigms linked to bio-mimics criteria are needed to design more innovative user-friendly prosthesis.

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D’Anna, Edoardo, Giacomo Valle, Alberto Mazzoni, Ivo Strauss, Francesco Iberite, Jérémy Patton, Francesco M. Petrini, et al. "A closed-loop hand prosthesis with simultaneous intraneural tactile and position feedback." Science Robotics 4, no. 27 (February 20, 2019): eaau8892. http://dx.doi.org/10.1126/scirobotics.aau8892.

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Current myoelectric prostheses allow transradial amputees to regain voluntary motor control of their artificial limb by exploiting residual muscle function in the forearm. However, the overreliance on visual cues resulting from a lack of sensory feedback is a common complaint. Recently, several groups have provided tactile feedback in upper limb amputees using implanted electrodes, surface nerve stimulation, or sensory substitution. These approaches have led to improved function and prosthesis embodiment. Nevertheless, the provided information remains limited to a subset of the rich sensory cues available to healthy individuals. More specifically, proprioception, the sense of limb position and movement, is predominantly absent from current systems. Here, we show that sensory substitution based on intraneural stimulation can deliver position feedback in real time and in conjunction with somatotopic tactile feedback. This approach allowed two transradial amputees to regain high and close-to-natural remapped proprioceptive acuity, with a median joint angle reproduction precision of 9.1° and a median threshold to detection of passive movements of 9.5°, which was comparable with results obtained in healthy participants. The simultaneous delivery of position information and somatotopic tactile feedback allowed both amputees to discriminate the size and compliance of four objects with high levels of performance (75.5%). These results demonstrate that tactile information delivered via somatotopic neural stimulation and position information delivered via sensory substitution can be exploited simultaneously and efficiently by transradial amputees. This study paves a way to more sophisticated bidirectional bionic limbs conveying richer, multimodal sensations.

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Zollo, Loredana, Giovanni Di Pino, Anna L. Ciancio, Federico Ranieri, Francesca Cordella, Cosimo Gentile, Emiliano Noce, et al. "Restoring tactile sensations via neural interfaces for real-time force-and-slippage closed-loop control of bionic hands." Science Robotics 4, no. 27 (February 20, 2019): eaau9924. http://dx.doi.org/10.1126/scirobotics.aau9924.

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Анотація:

Despite previous studies on the restoration of tactile sensation to the fingers and the hand, there are no examples of use of the routed sensory information to finely control a prosthestic hand in complex grasp and manipulation tasks. Here, it is shown that force and slippage sensations can be elicited in an amputee by means of biologically inspired slippage detection and encoding algorithms, supported by a stick-slip model of the performed grasp. A combination of cuff and intraneural electrodes was implanted for 11 weeks in a young woman with hand amputation and was shown to provide close-to-natural force and slippage sensations, paramount for substantially improving manipulative skills with the prosthesis. Evidence is provided about the improvement of the participant’s grasping and manipulation capabilities over time resulting from neural feedback. The elicited tactile sensations enabled the successful fulfillment of fine grasp and manipulation tasks with increasing complexity. Grasp performance was quantitatively assessed by means of instrumented objects and a purposely developed metrics. Closed-loop control capabilities enabled by the neural feedback were compared with those achieved without feedback. Further, the work demonstrates that the described amelioration of motor performance in dexterous tasks had as central neurophysiological correlates changes in motor cortical plasticity and that such changes were not of purely motor origin, but were the effect of a strong and persistent drive of the sensory feedback.

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Guo, G., J. Zhang, and W. A. Gruver. "Optimal Design of a Six-Bar Linkage with One Degree of Freedom for an Anthropomorphic Three-Jointed Finger Mechanism." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 207, no. 3 (September 1993): 185–90. http://dx.doi.org/10.1243/pime_proc_1993_207_291_02.

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This research concerns the design of a three-jointed, anthropomorphic, finger mechanism for use as a prosthesis or robotic end-effector. Based on a study of finger configurations for the human hand, a six-bar linkage with one degree of freedom is proposed. A model of the fingertip displacement of the mechanism is derived by a vector analysis approach. The effects of joint friction on the transmission efficiency are analysed. By measuring the joint positions of a human finger, a mathematical model of the pinching and holding configurations are developed. Optimal parameters for the finger mechanism are obtained by non-linear programming based on an objective functional involving motion posture and locus, transmission efficiency and weight subject to geometric and bionic constraints. Simulation results indicate that the mechanism is useful for a variety of prosthetic and robotic applications.

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Waris, Muhammad Asim, Mohsin Jamil, Syed Omer Gilani, and Yasar Ayaz. "Control of Upper Limb Active Prosthesis Using Surface Electromyography." International Journal of Mathematics and Computers in Simulation 15 (November 27, 2021): 92–96. http://dx.doi.org/10.46300/9102.2021.15.17.

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Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In this paper, active prosthesis with four degrees of freedom has been investigated, which can be used to fit a limb with amputation below elbow. The system comprises of multichannel inputs which correspond to the flexion and extension as well as supination and pronation. To find maximum surface neural activity, accurate placement of electrodes has been carried out on 10 subjects aged between 22-30 years. Signals (0-500 hertz) acquired from contracting voluntary muscles with minimum cross talk and common mode noise. Clean filtered EMG signal is then amplified precisely. Finally digitization is being done to drive bionic hand. Practical demonstration on a simple DC motor proved providential using this method for the two motions of an actual human arm. EMG Signals emanating from muscles dedicated to individual fingers have been recorded. Moreover modern classifiers; KNN and NN have been investigated carefully with selected features through different time and noise levels.

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Wan, Yuanfang, Zishan Han, Jun Zhong, and Guohua Chen. "Pattern recognition and bionic manipulator driving by surface electromyography signals using convolutional neural network." International Journal of Advanced Robotic Systems 15, no. 5 (September 1, 2018): 172988141880213. http://dx.doi.org/10.1177/1729881418802138.

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With the development of robotics, intelligent neuroprosthesis for amputees is more concerned. Research of robot controlling based on electrocardiogram, electromyography, and electroencephalogram is a hot spot. In medical research, electrode arrays are commonly used as sensors for surface electromyograms. Although these sensors collect more accurate data and sampling at higher frequencies, they have no advantage in terms of portability and ease of use. In recent years, there are also some small surface electromyography sensors for research. The portability of the sensor and the calculation speed of the calculation method directly affect the development of the bionic prosthesis. A consumer-grade surface electromyography device is selected as surface electromyography sensor in this study. We first proposed a data structure to convert raw surface electromyography signals from an array structure into a matrix structure (we called it surface electromyography graph). Then, a convolutional neural network was used to classify it. Discrete surface electromyography signals recorded from three persons 14 gestures (widely used in other research to evaluate the performance of classifier) have been applied to train the classifier and we get an accuracy of 97.27%. The impacts of different components used in convolutional neural network were tested with this data, and subsequently, the best results were selected to build the classifier used in this article. The NinaPro database 5 (one of the biggest surface electromyography data sets) was also used to evaluate our method, which comprises of hand movement data of 10 intact subjects with two myo armbands as sensors, and the classification accuracy increased by 13.76% on average when using double myo armbands and increased by 18.92% on average when using single myo armband. In order to driving the robot hand (bionic manipulator), a group of continuous surface electromyography signals was recorded to train the classifier, and an accuracy of 91.72% was acquired. We also used the same method to collect a set of surface electromyography data from a disabled with hand lost, then classified it using the abovementioned network and achieved an accuracy of 89.37%. Finally, the classifier was deployed to the microcontroller to drive the bionic manipulator, and the full video URL is given in the conclusion, with both the healthy man and the disabled tested with the bionic manipulator. The abovementioned results suggest that this method will help to facilitate the development and application of surface electromyography neuroprosthesis.

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Komkina, T. A., M. A. Nikonova, and M. G. Dubinina. "Technical and economic analysis of certain types of service robots." Economic Analysis: Theory and Practice 19, no. 10 (October 29, 2020): 1965–86. http://dx.doi.org/10.24891/ea.19.10.1965.

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Анотація:

Subject. The article analyzes development trends in certain types of service robots, namely, hybrid UAVs, bionic prosthetic hands, robotic vacuum cleaners. Objectives. We focus on identifying the main trends in the development of certain types of service robots, building dynamic models of their technical indicators and models of dependence of their price and weight on absolute characteristics and technical parameters. Methods. The study employs methods of correlation and multiple regression analysis. The data of the IFR, the Remotely Piloted Aircraft System, and websites of robot manufacturers serve as the informational basis of the paper. Results. The modeling unveils positive correlation between the integrated indicator of the technical level of hybrid UAVs of convertiplane type and the wingspan. The analysis of modern bionic prosthetic hands shows that the developers focus on optimizing the structure of the prosthetic, however, as the functions of the hand improve, the weight of bionic hand increases. The main factors influencing the price of robot vacuum cleaners are their power, weight, and operating hours. Conclusions. The unit price of a complex indicator of the technical level of hybrid UAVs is lower than the corresponding indicator of fixed-wing UAVs, reflecting a greater efficiency of hybrid UAVs. The analysis of technical indicators of robotic prosthetics (using the case of bionic hands) shows that any improvement of functional characteristics leads to deterioration of weight. The analysis of technical and economic indicators of robotic vacuum cleaners reveals a positive correlation between the price and weight, operating hours and power.

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Більше джерел

Дисертації з теми "Bionic hand prosthesis"

Xavier, Ricardo Taoni [UNESP]. "Implementação de uma prótese ativa para membro superior de baixo custo." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/144525.

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Submitted by Ricardo Taoni Xavier null (rtaoni@gmail.com) on 2016-10-31T12:57:11Z No. of bitstreams: 1 DISSERTAÇÃO - RICARDO TAONI XAVIER.pdf: 4280724 bytes, checksum: 935ff61eb52f06aadb80afc3f6386d03 (MD5)
Approved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-11-04T18:01:56Z (GMT) No. of bitstreams: 1 xavier_rt_me_ilha.pdf: 4135843 bytes, checksum: 8ca33b9b3c8efa0cc08a3c6c6c4a1e4e (MD5)
Made available in DSpace on 2016-11-04T18:01:56Z (GMT). No. of bitstreams: 1 xavier_rt_me_ilha.pdf: 4135843 bytes, checksum: 8ca33b9b3c8efa0cc08a3c6c6c4a1e4e (MD5) Previous issue date: 2016-08-29
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Neste trabalho, descreve-se a implementação de uma prótese de mão biônica de baixo custo, constituída por um mecanismo com dezesseis graus de liberdade, cinco dedos articulados individualmente, acionados por tendões mecânicos. Sua estrutura foi fabricada em impressora 3D. Para o interfaceamento homem-máquina foi desenvolvido um shield, que realiza a aquisição de sinais eletromiográficos, com dois canais, armazenamento em cartão SD e um sistema eletrônico capaz de gerar um banco de dados com movimentos realizados pela mão humana. Foi utilizada a plataforma Arduino para processamento e programação. O sistema contém um aplicativo com protocolo de acionamento programável e inserção de movimentos, proporcionando independência ao usuário. Foram realizados testes nos quais o sistema implementado executou movimentos, após armazenar vários movimentos funcionais da mão. Isso foi possível devido ao desenvolvimento de um algoritmo capaz de reconhecer, quantificar e armazenar os sinais produzidos pelas contrações dos músculos. A prótese ativa implementada funcionou adequadamente para paciente com deformidade congênita e para paciente amputado. O valor total dos componentes mecânicos e eletrônicos necessários para implementar a prótese ativa e a utilização de hardwares e softwares livres contribuem para que o custo do dispositivo seja reduzido.
This paper describes the implementation a low cost hand prosthesis, a mechanism constituted by sixteen degrees of freedom, five articulated fingers individually, driven by mechanical tendons. Its structure was made in a 3D printer. For the man-machine interfacing, a shield was developed which performs the acquisition of electromyographic signals, with two channels, SD card storage and an electronic system able to generate a database of movements made by the human hand. The Arduino platform was used for processing and programming. The system contains an app with a programmable drive and insertion movements protocol, providing independence to the user. Tests were conducted in which the implemented system performed movements, after storing various functional hand movements. This was possible due to the development of an algorithm capable of recognizing, quantifying and storing the signals produced by muscle contractions. The implemented active prosthesis worked well for patients with congenital deformity and amputee. The total value of the mechanical and electronic components required to implement the active prosthesis and the use of free hardware and software contribute to the low cost of the device.

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Xavier, Ricardo Taoni. "Implementação de uma prótese ativa para membro superior de baixo custo /." Ilha Solteira, 2016. http://hdl.handle.net/11449/144525.

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Orientador: Aparecido Augusto de Carvalho
Resumo: This paper describes the implementation a low cost hand prosthesis, a mechanism constituted by sixteen degrees of freedom, five articulated fingers individually, driven by mechanical tendons. Its structure was made in a 3D printer. For the man-machine interfacing, a shield was developed which performs the acquisition of electromyographic signals, with two channels, SD card storage and an electronic system able to generate a database of movements made by the human hand. The Arduino platform was used for processing and programming. The system contains an app with a programmable drive and insertion movements protocol, providing independence to the user. Tests were conducted in which the implemented system performed movements, after storing various functional hand movements. This was possible due to the development of an algorithm capable of recognizing, quantifying and storing the signals produced by muscle contractions. The implemented active prosthesis worked well for patients with congenital deformity and amputee. The total value of the mechanical and electronic components required to implement the active prosthesis and the use of free hardware and software contribute to the low cost of the device.
Mestre

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Parkhomenko, Y. Y. "Bionic hand that can feel." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33787.

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Those who have lost a limb such as a hand have long had the option of using a prosthetic to restore some lost functionality. Studies have shown that as many as 50 percent of prosthetic wearers rarely use them due to appearance and poor controllability. A new breakthrough in prosthesis has delivered a bionic hand that is capable of feeling just like the organic limb it replaces. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33787

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Lutz, Jan. "Myoelektrická protéza ruky." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219509.

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This project treats of using electromyograph as a control standard for prosthetic replacement of human arm. The work is mainly focused on surface signals. Reader is briefed by creation and transmission of the signal. The work takes account of the transmission of the signal for surface electrodes and the differences between the ideal and the real connection. Another point of the thesis is the design of basic system model for simulation of the robotic arm movement, which depends on the measured signal. In the practical part there is the realization of the artificial limb movement. It starts with the roboric arm construction and continues with the communication between computer and the robotic arm. First part of practical testing ends with creating of an user interface, which is capable of control all robotic arm movements. The interface is combined with a computer model in Matlab robotic toolbox. The model is able to move in sync with the real robot. The final part is devoted to practical measurement with Biopac instruments. The obtained signal is modified to be used as controller for the robotic arm. Author's aim is to adjust this movement to be most similar to real movement.

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Вонсевич, Костянтин Петрович. "Міографічна система біонічної руки з оптичною ідентифікацією типу поверхні". Doctoral thesis, Київ, 2020. https://ela.kpi.ua/handle/123456789/35729.

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Дисертаційна робота присвячена створенню міографічної системи протезної руки з розширеними можливостями рухів та жестів із розпізнаванням міоелектричних сигналів нейромережевим інтерфейсом та оптичним ідентифікатором контактної поверхні для дотику пальців. У роботі вдосконалено метод розпізнавання категорій фізіологічних рухів та жестів шляхом аналізу електро- та форс- міографічних сигналів мультирівневими штучними нейронними мережами, що дозволило підвищити точність класифікації жестів кисті руки. Вдосконалено метод розпізнавання контактної поверхні пальцем протезу шляхом оптичної ідентифікації із засобами концентрації оптичної енергії, що дало можливість підвищити достовірність ідентифікації структури об’єктів маніпуляції. Вдосконалено метод координації рухів протезу кисті руки на основі одночасної реєстрації і розпізнавання фізіологічних сигналів та сигналу оптичної ідентифікації.

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Частини книг з теми "Bionic hand prosthesis"

Stoppa, Marcelo H., Guilherme F. Neto, Stéfany M. Rezende, and José A. Foggiatto. "Design and Development of a Bionic Hand Prosthesis." In Advances in Ergonomics in Design, 518–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60582-1_52.

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Stoppa, Marcelo H., Guilherme F. Neto, and Danillo A. de S. Dunck. "A New Model to Bionic Hand Prosthesis with Individual Fingers Actuators." In Advances in Intelligent Systems and Computing, 896–902. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39512-4_137.

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Salminger, Stefan, Johannes Mayer, Simo Vilkki, and Oskar C. Aszmann. "Biologic Alternatives to Prosthetic Hand Replacement." In Bionic Limb Reconstruction, 75–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60746-3_8.

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Gupta, Shweta, and Adesh Kumar. "Bionic Functionality of Prosthetic Hand." In Advances in Intelligent Systems and Computing, 1177–90. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_123.

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Тези доповідей конференцій з теми "Bionic hand prosthesis"

Moneada, Andrey, David Satizabal, Gabriel Hoyos, and Bestier Padilla. "Integration of a prototype of bionic prosthesis hand." In 2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC). IEEE, 2017. http://dx.doi.org/10.1109/ccac.2017.8276382.

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Amorim Costa, Kliftom, Rodrigo Romero, Fernanda Márcia Rodrigues Martins Ferreira, Melissa Souza Antunes, and Claysson Vimieiro. "Bionic Prosthesis Hand: A Review and Future Perspectives." In 26th International Congress of Mechanical Engineering. ABCM, 2021. http://dx.doi.org/10.26678/abcm.cobem2021.cob2021-1765.

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Zhao, Yun, Xiao Y. Wu, Xu D. Wu, Wen Qu, Man Q. Wang, Lin Chen, Ning Hu, and Wen S. Hou. "Feedback control of stable force output with evoked sEMG based on virtual hand prosthesis." In 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). IEEE, 2018. http://dx.doi.org/10.1109/cbs.2018.8612285.

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KIMIZUKA, Susumu, Yutaro HIYOSHI, Hesong YE, Shunta TOGO, Youhei TANAKA, Yinlai JIANG, and Hiroshi YOKOI. "Development of an intuitive operation type shoulder prosthesis hand system using the surface myoelectric potential of trunk." In 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). IEEE, 2018. http://dx.doi.org/10.1109/cbs.2018.8612256.

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Koprnicky, Jan, Petr Najman, and Jiri Safka. "3D printed bionic prosthetic hands." In 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM). IEEE, 2017. http://dx.doi.org/10.1109/ecmsm.2017.7945898.

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Wicaksana, Gde Pranabhawa, and Basari. "Study on the design of bionic prosthetic hand model." In THE 4TH BIOMEDICAL ENGINEERING’S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, HEALTH, AND MEDICAL DEVICES: Proceedings of the International Symposium of Biomedical Engineering (ISBE) 2019. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5139384.

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Votta, Ann Marie, Sezen Yagmur Gunay, Deniz Erdogmus, and Cagdas Onal. "Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors." In 2019 IEEE International Conference on Cyborg and Bionic Systems (CBS). IEEE, 2019. http://dx.doi.org/10.1109/cbs46900.2019.9114463.

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Mkhitaryan, Amalya, and Zaven Khanamiryan. "Modeling and Analysis of the Prosthetic Bionic Hand Control System." In 2020 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech). IEEE, 2020. http://dx.doi.org/10.1109/eexpolytech50912.2020.9243968.

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Luo, Qi, Zhuozhi Zhang, Jiayue Liu, Chih-hong Chou, Manzhao Hao, Ning Lan, and Chuanxin M. Niu. "Design of a Biomimetic Control System for Tendon-driven Prosthetic Hand." In 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). IEEE, 2018. http://dx.doi.org/10.1109/cbs.2018.8612142.

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Zheng, Yue, Xiangxin Li, Lan Tian, and Guanglin Li. "Design of a Low-Cost and Humanoid Myoelectric Prosthetic Hand Driven by a Single Actuator to Realize Basic Hand Functions." In 2018 IEEE International Conference on Cyborg and Bionic Systems (CBS). IEEE, 2018. http://dx.doi.org/10.1109/cbs.2018.8612255.

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