Multichannel electrotactile feedback for simultaneous and proportional myoelectric control
Open accessAbstract
OBJECTIVE: Closing the loop in myoelectric prostheses by providing artificial somatosensory feedback to the user is an important need for prosthetic users. Previous studies investigated feedback strategies in combination with the control of one degree of freedom of simple grippers. Modern hands, however, are sophisticated multifunction systems. In this study, we assessed multichannel electrotactile feedback integrated with an advanced method for the simultaneous and proportional control of individual fingers of a dexterous hand. APPROACH: The feedback used spatial and frequency coding to provide information on the finger positions (normalized flexion angles). A comprehensive set of conditions have been investigated in 28 able-bodied subjects, including feedback modalities (visual, electrotactile and no feedback), control tasks (fingers and grasps), systems (virtual and real hand), control methods (ideal and realistic) and range of motion (low and high). The task for the subjects was to operate the hand using closed-loop myoelectric control and generate the desired movement (e.g., selected finger or grasp at a specific level of closure). MAIN RESULTS: The subjects could perceive the multichannel and multivariable electrotactile feedback and effectively exploit it to improve the control performance with respect to open-loop grasping. The improvement however depended on the reliability of the feedforward control, with less consistent control exhibiting performance trends that were more complex across the conditions. SIGNIFICANCE: The results are promising for the potential application of advanced feedback to close the control loop in sophisticated prosthetic systems.
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Providing tactile stimulations to individual fingers (multiple degrees of freedom) improved control performance by the grasping function compared to open-loop controls.
“Further, Patel et al. (2016) improved the control performance by the grasping function by providing tactile stimulations to individual fingers (multiple degrees of freedom) in comparison to open-loop controls”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Patel et al. (2016)
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Cites
Myoelectric control systems—A survey
Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244 · see citing works
Restoring natural sensory feedback in real-time bidirectional hand prostheses
Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., Carpaneto, J., Controzzi, M., Boretius, T., Fernandez, E., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006820 · Cited by 1,001 · see citing works
Sensory substitution and the human-machine interface
Bach-y-Rita, P., & W. Kercel, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.013 · Cited by 858 · see citing works
Electrotactile and vibrotactile displays for sensory substitution systems
Kaczmarek, K. A., Webster, J. G., Bach-y-Rita, P., & Tompkins, W. J. (1991) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.68204 · Cited by 827 · see citing works
Myoelectric signal processing for control of powered limb prostheses
Parker, P. K., Englehart, K. B., & Hudgins, B. (2006) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2006.08.006 · Cited by 648 · see citing works
Biddiss, E. A., & Chau, T. T. (2007) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e3181587f6c · Cited by 646 · see citing works
Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight]
Jiang, N., Dosen, S. S., Müller, K.-R., & Farina, D. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2203480 · Cited by 497 · see citing works
Self-citationControl of upper limb prostheses: terminology and proportional myoelectric control-a review
Fougner, A., Stavdahl, Ø., Kyberd, P. J., Losier, Y. G., & Parker, P. A. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2196711 · Cited by 495 · see citing works
Myoelectric forearm prostheses: State of the art from a user-centered perspective
Peerdeman, B., Boere, D., Witteveen, H. J. B., `tVeld, R. H. I., Hermens, H. J., Stramigioli, S., Rietman, H. S., Veltink, P. H., & Misra, S. (2011) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2010.08.0161 · Cited by 467 · see citing works
Sensory feedback in upper limb prosthetics
Antfolk, C., D’Alonzo, M., Rosén, B., Lundborg, G., Sebelius, F., & Cipriani, C. (2013) · Expert Review of Medical Devices · doi:10.1586/erd.12.68 · Cited by 466 · see citing works
On the Shared Control of an EMG-Controlled Prosthetic Hand: Analysis of User–Prosthesis Interaction
Cipriani, C., Zaccone, F., Micera, S., & Carrozza, M. C. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.910708 · Cited by 450 · see citing works
Surface EMG in advanced hand prosthetics
Castellini, C., & van der Smagt, P. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0278-1 · Cited by 429 · see citing works
Self-citationControl of Hand Prostheses Using Peripheral Information
Micera, S., Carpaneto, J., & Raspopović, S. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2085429 · Cited by 405 · see citing works
Multisensory five-finger dexterous hand: The DLR/HIT Hand II
Liu, H., Wu, K., Meusel, P., Seitz, N., Hirzinger, G., Jin, M., Liu, Y., Fan, S., Lan, T., & Chen, Z. (2008) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2008.4650624 · Cited by 370 · see citing works
Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control
Hahne, J. M., BieBmann, F., Jiang, N., Rehbaum, H., Farina, D., Meinecke, F. C., Müller, K. R., & Parra, L. C. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2305520 · Cited by 369 · see citing works
Self-citationRestoring the sense of touch with a prosthetic hand through a brain interface
Tabot, G. A., Dammann, J. F., Berg, J. A., Tenore, F. V., Boback, J. L., Vogelstein, R. J., & Bensmaia, S. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221113110 · Cited by 320 · see citing works
Nielsen, J. L. G., Holmgaard, S., Jiang, N., Englehart, K. B., Farina, D., & Parker, P. A. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2068298 · Cited by 258 · see citing works
Self-citationElectrocutaneous Stimulation for Sensory Communication in Rehabilitation Engineering
Szeto, A. Y. J., & Saunders, F. A. (1982) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1982.324948 · Cited by 224 · see citing works
The role of feed-forward and feedback processes for closed-loop prosthesis control
Saunders, I., & Vijayakumar, S. (2011) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-8-60 · Cited by 192 · see citing works
Surveying the interest of individuals with upper limb loss in novel prosthetic control techniques
Engdahl, S. M., Christie, B. P., Kelly, B. M., Davis, A. J., Chestek, C. A., & Gates, D. H. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0044-2 · Cited by 177 · see citing works
Design and Evaluation of a Low-Cost Force Feedback System for Myoelectric Prosthetic Hands
Pylatiuk, C., Kargov, A., & Schulz, S. (2006) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/00008526-200604000-00007 · Cited by 156 · see citing works
Vibro- and Electrotactile User Feedback on Hand Opening for Myoelectric Forearm Prostheses
Witteveen, H. J. B., Droog, E. A., Rietman, J. S., & Veltink, P. H. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2200678 · Cited by 150 · see citing works
EMG signals detection and processing for on-line control of functional electrical stimulation
Frigo, C., Ferrarin, M., Frasson, W., Pavan, E. E., & Thorsen, R. (2000) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(00)00026-2 · Cited by 142 · see citing works
Stable myoelectric control of a hand prosthesis using non-linear incremental learning
Gijsberts, A., Bohra, R., González, D., Werner, A., Nowak, M., Barbara Caputo, B., Roa, M. A., & Castellini, C. (2014) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2014.00008 · Cited by 136 · see citing works
Self-citationDosen, S. S., Marković, M., Strbac, M. D., Belić, M., Kojić, V., Bijelić, G., Keller, T., & Farina, D. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2550864 · Cited by 122 · see citing works
Self-citationExtended physiologic taction: design and evaluation of a proportional force feedback system.
Meek, S. G., Jacobsen, S. C., & Goulding, P. P. (1989) · PubMed · Cited by 116 · see citing works
Ninu, A., Dosen, S. S., Muceli, S., Rattay, F., Dietl, H., & Farina, D. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2318431 · Cited by 115 · see citing works
Self-citationTesting a Prosthetic Haptic Feedback Simulator With an Interactive Force Matching Task
Chatterjee, A., Chaubey, P., Martin, J. B., & Thakor, N. V. (2008) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/01.jpo.0000311041.61628.be · Cited by 111 · see citing works
Vibrotactile grasping force and hand aperture feedback for myoelectric forearm prosthesis users
Witteveen, H. J. B., Rietman, H. S., & Veltink, P. H. (2014) · Prosthetics and Orthotics International · doi:10.1177/0309364614522260 · Cited by 108 · see citing works
Kinesthetic Sensing for the EMG Controlled "Boston Arm"
Mann, R. W., & Reimers, S. (1970) · IEEE Transactions on Man Machine Systems · doi:10.1109/tmms.1970.299971 · Cited by 108 · see citing works
Survey of upper limb prosthesis users in Sweden, the United Kingdom and Canada
Kyberd, P., & Hill, W. (2011) · Prosthetics and Orthotics International · doi:10.1177/0309364611409099 · Cited by 98 · see citing works
A myoelectrically-controlled prosthesis with sensory feedback
Shannon, G. F. (1979) · Medical & Biological Engineering & Computing · doi:10.1007/bf02440956 · Cited by 91 · see citing works
Stiffness Feedback for Myoelectric Forearm Prostheses Using Vibrotactile Stimulation
Witteveen, H. J. B., Luft, F., Rietman, J. S., & Veltink, P. H. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2267394 · Cited by 76 · see citing works
Hartmann, C., Dosen, S., Amsuess, S., & Farina, D. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2357175 · Cited by 64 · see citing works
Self-citationTime-division multiplexing for myoelectric closed-loop control using electrotactile feedback
Dosen, S. S., Schaeffer, M.-C., & Farina, D. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-138 · Cited by 55 · see citing works
Self-citationAntfolk, C. (2010) · Journal of Medical and Biological Engineering · doi:10.5405/jmbe.767 · Cited by 52 · see citing works
DrAlonzo, M., Dosen, S. S., Cipriani, C., & Farina, D. (2013) · IEEE Transactions on Haptics · doi:10.1109/toh.2013.52 · Cited by 50 · see citing works
Self-citationTashiro, T., & Higashiyama, A. (1981) · Perception & Psychophysics · doi:10.3758/bf03202013 · Cited by 48 · see citing works
Dosen, S. S., Marković, M., Wille, N., Henkel, M., Koppe, M., Ninu, A., Frömmel, C., & Farina, D. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4257-1 · Cited by 45 · see citing works
Self-citationSupplemental sensory feedback for the VA/NU myoelectric hand. Background and preliminary designs.
Prior, R. E., Lyman, J., Pa, C., & Cm, S. (1976) · PubMed · Cited by 41 · see citing works
Does EMG control lead to distinct motor adaptation?
Johnson, R. E., Kording, K. P., Hargrove, L. J., & Sensinger, J. W. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00302 · Cited by 33 · see citing works
Antfolk, C. (2010) · Journal of Medical and Biological Engineering · doi:10.5405/jmbe.766 · Cited by 26 · see citing works
Flagged first, then by citations
1 of the 43 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Toward higher-performance bionic limbs for wider clinical use
Farina, D., Vujaklija, I., Brånemark, R., Bull, A. M. J., Dietl, H., Graimann, B., Hargrove, L. J., Hoffmann, K.-P., Huang, H., Ingvarsson, T., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00732-x · Cited by 263 · see citing works
Self-citationA Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control
Sensinger, J. W., & Dosen, S. S. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00345 · Cited by 233 · see citing works
Self-citationA Review of Non-Invasive Sensory Feedback Methods for Transradial Prosthetic Hands
Stephens-Fripp, B., Alici, G., & Mutlu, R. (2018) · IEEE Access · doi:10.1109/access.2018.2791583 · Cited by 210 · see citing works
A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics
Beckerle, P., Salvietti, G., Ünal, R., Prattichizzo, D., Rossi, S., Castellini, C., Hirche, S., Endo, S., Amor, H. B., Ciocarlie, M., et al. (2017) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2017.00024 · Cited by 138 · see citing works
Self-citationMarković, M., Schweisfurth, M. A., Engels, L. F., Bentz, T., Wüstefeld, D., Farina, D., & Dosen, S. S. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0371-1 · Cited by 135 · see citing works
Self-citationSensory restoration by epidural stimulation of the lateral spinal cord in upper-limb amputees
Chandrasekaran, S., Nanivadekar, A. C., McKernan, G., Helm, E. R., Boninger, M. L., Collinger, J. L., Gaunt, R. A., & Fisher, L. E. (2020) · eLife · doi:10.7554/elife.54349 · Cited by 108 · see citing works
Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review.
Ghafoor, U., Kim, S., & Hong, K.-S. (2017) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2017.00059 · Cited by 88 · see citing works
“This kind of activation can be realized via interfaces positioned either on the body surface or on the muscles near the motor points, or can be directly implanted in the motor nerves (Kuiken et al., 2004; Clemente et al., 2016; Davis et al., 2016; Patel et al., 2016).”
Evoked haptic sensations in the hand via non-invasive proximal nerve stimulation
Shin, H., Watkins, Z., Huang, H., Zhu, Y., & Hu, X. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aabd5d · Cited by 77 · see citing works
Battaglia, E., Clark, J. P., Bianchi, M., Catalano, M. G., Bicchi, A., & O’Malley, M. K. (2019) · IEEE Transactions on Haptics · doi:10.1109/toh.2019.2915075 · Cited by 60 · see citing works
Electrotactile Perception Properties and Its Applications: A Review
Zhou, Z., Yang, Y., Liu, J., Zeng, J., Wang, X., & Liu, H. (2022) · IEEE Transactions on Haptics · doi:10.1109/toh.2022.3170723 · Cited by 61 · see citing works
Hwang, H.-J., Hahne, J. M., & Müller, K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186318 · Cited by 58 · see citing works
Motor Imagery Based Continuous Teleoperation Robot Control with Tactile Feedback
Bao-guo, X., Li, W., He, X., Wei, Z., Zhang, D., Wu, C., & Song, A. (2020) · Electronics · doi:10.3390/electronics9010174 · Cited by 47 · see citing works
Object discrimination using electrotactile feedback
Arakeri, T. J., Hasse, B. A., & Fuglevand, A. J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aabc9a · Cited by 39 · see citing works
Guémann, M., Bouvier, S., Halgand, C., Paclet, F., Borrini, L., Ricard, D., Lapeyre, E., Cattaert, D., & de Rugy, A. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0597-6 · Cited by 37 · see citing works
The Latest Research Progress on Bionic Artificial Hands: A Systematic Review
Guo, K., Lu, J., Wu, Y., Hu, X., & Yang, H. (2024) · Micromachines · doi:10.3390/mi15070891 · Cited by 39 · see citing works
Abbass, Y., Saleh, M., Dosen, S. S., & Valle, M. (2021) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2021.3107723 · Cited by 36 · see citing works
Self-citationZhang, J., Hao, M., Yang, F., Liang, W., Sun, A., Chou, C.-H., & Lan, N. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac6062 · Cited by 34 · see citing works
Integration of proprioception in upper limb prostheses through non-invasive strategies: a review
Papaleo, E. D., D’Alonzo, M., Fiori, F., Piombino, V., Falato, E., Pilato, F., Liso, A. D., Lazzaro, V. D., & Pino, G. D. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01242-4 · Cited by 35 · see citing works
On‐Skin Stimulation Devices for Haptic Feedback and Human–Machine Interfaces
Guo, W., Hu, Y., Yin, Z., & Wu, H. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202100452 · Cited by 29 · see citing works
Sensory Feedback for Upper-Limb Prostheses: Opportunities and Barriers
Jabban, L., Dupan, S. S. G., Zhang, D., Ainsworth, B., Nazarpour, K., & Metcalfe, B. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3159186 · Cited by 30 · see citing works
Pan, L., Vargas, L., Fleming, A., Hu, X., Zhu, Y., & Huang, H. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab8e8d · Cited by 28 · see citing works
Garenfeld, M. A., Strbac, M. D., Jorgovanović, N., Dideriksen, J. L., & Dosen, S. S. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3267273 · Cited by 21 · see citing works
Self-citationA Decade of Haptic Feedback for Upper Limb Prostheses
Dey, A., Basumatary, H., & Hazarika, S. M. (2023) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2023.3310045 · Cited by 19 · see citing works
Marinelli, A., Boccardo, N., Canepa, M., Domenico, D. D., Semprini, M., Chiappalone, M., Laffranchi, M., Michieli, L. D., & Dosen, S. S. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3285850 · Cited by 17 · see citing works
Self-citationWearable Dual-Frequency Vibrotactile System for Restoring Force and Stiffness Perception
Gathmann, T., Atashzar, S. F., Alva, P. G. S., & Farina, D. (2020) · IEEE Transactions on Haptics · doi:10.1109/toh.2020.2969162 · Cited by 16 · see citing works
Self-citationYang, B., & Jiang, L. (2022) · Journal of Bionic Engineering · doi:10.1007/s42235-022-00246-5 · Cited by 15 · see citing works
Induced mitochondrial membrane potential for modeling solitonic conduction of electrotonic signals
Poznański, R. R., Cacha, L. A., Ali, J., Rizvi, Z. H., Yupapin, P. P., Salleh, S. H., & Bandyopadhyay, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183677 · Cited by 14 · see citing works
Excitation of natural spinal reflex loops in the sensory-motor control of hand prostheses
Alva, P. G. S., Boesendorfer, A., Aszmann, O. C., Ibáñez, J., & Farina, D. (2024) · Science Robotics · doi:10.1126/scirobotics.adl0085 · Cited by 13 · see citing works
Self-citationStatic and dynamic proprioceptive recognition through vibrotactile stimulation
Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac0d43 · Cited by 14 · see citing works
Quantifying the Generation Process of Multi-Level Tactile Sensations via ERP Component Investigation
Liu, Y., Wang, W., Xu, W., Cheng, Q., & Ming, D. (2021) · International Journal of Neural Systems · doi:10.1142/s0129065721500490 · Cited by 13 · see citing works
Closed-loop control of a prosthetic finger via evoked proprioceptive information
Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac3c9e · Cited by 15 · see citing works
Fontana, J. M., O’Brien, R., Laciar, E., Maglione, L. S., & Molisani, L. (2018) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-018-0374-1 · Cited by 11 · see citing works
Lambrecht, J. M., Cady, S. R., Peterson, E. J., Dunning, J. L., Dinsmoor, D. A., Pape, F., Graczyk, E. L., & Tyler, D. J. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad56c9 · Cited by 10 · see citing works
A compact solution for vibrotactile proprioceptive feedback of wrist rotation and hand aperture
Marinelli, A., Boccardo, N., Canepa, M., Domenico, D. D., Gruppioni, E., Laffranchi, M., Michieli, L. D., Chiappalone, M., Semprini, M., & Dosen, S. S. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-024-01420-y · Cited by 10 · see citing works
Self-citationDosen, S. S., Prahm, C., Amsuess, S., Vujaklija, I., & Farina, D. (2021) · Springer eBooks · doi:10.1007/978-3-030-60746-3_15 · Cited by 9 · see citing works
Self-citationBuist, M., Damercheli, S., Truong, M. T. N., Sanna, A., Mastinu, E., & Ortiz-Catalan, M. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3271821 · Cited by 8 · see citing works
A Comparison Between Separated Electrodes and Concentric Electrodes for Electrotactile Stimulation
Stephens-Fripp, B., Mutlu, R., & Alıcı, G. (2020) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2020.3045502 · Cited by 8 · see citing works
Dong, J. C., Geng, B., Niazi, I. K., Amjad, I., Dosen, S. S., Jensen, W., & Kamavuako, E. N. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2956836 · Cited by 8 · see citing works
Self-citationBoljanić, T., Baljić, M., Kostic, M. D., Barralon, P., Dosen, S. S., & Strbac, M. D. (2024) · Scientific Reports · doi:10.1038/s41598-024-70990-7 · Cited by 7 · see citing works
Self-citationBruni, G., Marinelli, A., Bucchieri, A., Boccardo, N., Caserta, G., Domenico, D. D., Barresi, G., Florio, A., Canepa, M., Tessari, F., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1078846 · Cited by 8 · see citing works
The Technological and Psychological Aspects of Upper Limb Prostheses Abandonment: A Narrative Review
Collu, R., Ferrazzano, E., Murgia, V., Salis, C., & Barbaro, M. (2025) · Prosthesis · doi:10.3390/prosthesis7060167 · Cited by 7 · see citing works
Ye, S., Zhu, K., Li, P., & Sui, X. (2019) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-019-2134-y · Cited by 4 · see citing works
Garenfeld, M. A., Jiménez-Díaz, A., Navarro-Moreno, V., Tormo, M., Strbac, M. D., Hernández, E., Baños, R., Herrero, R., & Dosen, S. S. (2024) · IEEE Transactions on Haptics · doi:10.1109/toh.2024.3424298 · Cited by 4 · see citing works
Self-citationElectrode Design for Electrotactile Feedback With Reduced Interference to Myoelectric Signal
Yang, D., Huang, Q., Jiang, Z., & Jiang, L. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3076092 · Cited by 3 · see citing works
Devecıoğlu, İ., & KARAKULAK, E. (2024) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03434-4 · Cited by 2 · see citing works
Devecıoğlu, İ. (2022) · Annals of Biomedical Engineering · doi:10.1007/s10439-022-02978-1 · Cited by 2 · see citing works
Buist, M., Mastinu, E., & Ortiz-Catalan, M. (2021) · Research Square · doi:10.21203/rs.3.rs-1096458/v1 · Cited by 2 · see citing works
Intracortical microstimulation for tactile feedback in awake behaving rats
Devecıoğlu, İ., Öztürk, S., & Güçlü, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00013-7 · Cited by 1 · see citing works
Providing Non-Invasive Sensory Feedback for Transradial Prosthetic Hand Users
Stephens-Fripp, B. (2020) · Research Online (University of Wollongong) · Cited by 1 · see citing works
Concepts, Potentials, and Requirements
Beckerle, P. (2021) · Springer series on touch and haptic systems · doi:10.1007/978-3-030-38688-7_2
Optimizing Electrotactile Stimulation Parameters for Responses under Cognitive LoadPreprint
Jarto, F., Corbett, E., & Dupan, S. S. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.08.674827
Optimizing electrotactile stimulation intensity for responses under cognitive load
Jarto, F., Corbett, E., & Dupan, S. S. G. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-01883-1
Zhuo, Y., Xu, H., Liu, Y., Wang, D., Chen, J., Li, J., Jiang, C., Braud, T., & Fan, M. (2025) · International Conference on Human-Engaged Computing (ICHEC) · doi:10.1145/3786995.3787012
Cheng, C. H., Eden, J., Oetomo, D., & Tan, Y. (2026) · IEEE Transactions on Haptics · doi:10.1109/toh.2026.3702652
- Authors
- Patel, G. K., Dosen, S., Castellini, C., & Farina, D.
- Affiliations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Universitätsmedizin Göttingen (DE)
- Corresponding author
- Farina, Dario
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2016-09-13
- Volume
- 13
- Issue
- 5
- Pages
- 056015
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2520034891
- Cited by
- 58
- References
- 43
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 11 · 2020: 7 · 2019: 5 · 2018: 6 · 2017: 4
- FWCI
- 2.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- elib (German Aerospace Center) (submittedVersion)
- GRO (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- myoelectric prosthesis, electrotactile feedback, somatosensory feedback, feedback control, finger control, proportional control, spatial coding, frequency coding, grasp control, feedforward control, prosthetic hand
- MeSH terms
- Adult, Electric Stimulation, Electromyography, Female, Fingers, Hand, Humans, Learning, Male, Motor Skills, Psychometrics, Touch, Hand Strength, Prostheses and Implants, Young Adult, Feedback, Sensory
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