Published on 09.02.17 in Vol 5, No 1 (2017): Jan-Mar
Works citing "Game-Based Rehabilitation for Myoelectric Prosthesis Control"
According to Crossref, the following articles are citing this article (DOI 10.2196/games.6026):
(note that this is only a small subset of citations)
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Aman M, Sporer ME, Gstoettner C, Prahm C, Hofer C, Mayr W, Farina D, Aszmann OC. Bionic hand as artificial organ: Current status and future perspectives. Artificial Organs 2019;43(2):109
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Tsinganos P, Cornelis B, Cornelis J, Jansen B, Skodras A. Hilbert sEMG data scanning for hand gesture recognition based on deep learning. Neural Computing and Applications 2021;33(7):2645
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Hashim NA, Abd Razak NA, Gholizadeh H, Abu Osman NA. Video Game–Based Rehabilitation Approach for Individuals Who Have Undergone Upper Limb Amputation: Case-Control Study. JMIR Serious Games 2021;9(1):e17017
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Prahm C, Schulz A, Paaben B, Schoisswohl J, Kaniusas E, Dorffner G, Hammer B, Aszmann O. Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019;27(5):956
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Tobler-Ammann BC, Surer E, de Bruin ED, Rabuffetti M, Borghese NA, Mainetti R, Pirovano M, Wittwer L, Knols RH. Exergames Encouraging Exploration of Hemineglected Space in Stroke Patients With Visuospatial Neglect: A Feasibility Study. JMIR Serious Games 2017;5(3):e17
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Winslow BD, Ruble M, Huber Z. Mobile, Game-Based Training for Myoelectric Prosthesis Control. Frontiers in Bioengineering and Biotechnology 2018;6
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Aman M, Festin C, Sporer ME, Gstoettner C, Prahm C, Bergmeister KD, Aszmann OC. Bionic reconstruction. Wiener klinische Wochenschrift 2019;131(23-24):599
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Aguilar-Lazcano CA, Rechy-Ramirez EJ, Hu H, Rios-Figueroa HV, Marin-Hernandez A. Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review. Games for Health Journal 2019;8(5):313
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Garske CA, Dyson M, Dupan S, Nazarpour K. Perception of Game-Based Rehabilitation in Upper Limb Prosthetic Training: Survey of Users and Researchers. JMIR Serious Games 2021;9(1):e23710
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Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation 2021;18(1)
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Joyner JS, Vaughn-Cooke M, Benz HL. Comparison of Dexterous Task Performance in Virtual Reality and Real-World Environments. Frontiers in Virtual Reality 2021;2
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Heerschop A, van der Sluis CK, Bongers RM. Transfer of mode switching performance: from training to upper-limb prosthesis use. Journal of NeuroEngineering and Rehabilitation 2021;18(1)
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Farina D, Vujaklija I, Brånemark R, Bull AMJ, Dietl H, Graimann B, Hargrove LJ, Hoffmann K, Huang H, Ingvarsson T, Janusson HB, Kristjánsson K, Kuiken T, Micera S, Stieglitz T, Sturma A, Tyler D, Weir RFF, Aszmann OC. Toward higher-performance bionic limbs for wider clinical use. Nature Biomedical Engineering 2021;7(4):473
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Karczewski AM, Dingle AM, Poore SO. The Need to Work Arm in Arm: Calling for Collaboration in Delivering Neuroprosthetic Limb Replacements. Frontiers in Neurorobotics 2021;15
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Gao S, Gong J, Chen B, Zhang B, Luo F, Yerabakan MO, Pan Y, Hu B. Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation. Advanced Intelligent Systems 2022;4(10)
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Rossi F, Mongardi A, Ros PM, Roch MR, Martina M, Demarchi D. Tutorial: A Versatile Bio-Inspired System for Processing and Transmission of Muscular Information. IEEE Sensors Journal 2021;21(20):22285
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Gaballa A, Cavalcante RS, Lamounier E, Soares A, Cabibihan J. Extended Reality “X-Reality” for Prosthesis Training of Upper-Limb Amputees: A Review on Current and Future Clinical Potential. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022;30:1652
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Tabor A, Bateman S, Scheme E. Evaluation of Myoelectric Control Learning Using Multi-Session Game-Based Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2018;26(9):1680
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Peznola S, Gauthier LV, Claypool MC, Roop B, Lammert AC. Compliance With In-Home Self-Managed Rehabilitation Post-Stroke is Largely Independent of Scheduling Approach. Archives of Physical Medicine and Rehabilitation 2023;104(4):554
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Garske CA, Dyson M, Dupan S, Morgan G, Nazarpour K. Serious Games Are Not Serious Enough for Myoelectric Prosthetics. JMIR Serious Games 2021;9(4):e28079
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Muguro JK, Laksono PW, Rahmaniar W, Njeri W, Sasatake Y, Suhaimi MSAB, Matsushita K, Sasaki M, Sulowicz M, Caesarendra W. Development of Surface EMG Game Control Interface for Persons with Upper Limb Functional Impairments. Signals 2021;2(4):834
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Raghibi LE, Muhoza AP, Evrard J, Ghazi H, van Oldeneel tot Oldenzeel G, Sonneville V, Macq B, Ronsse R. Virtual reality can mediate the learning phase of upper limb prostheses supporting a better-informed selection process. Journal on Multimodal User Interfaces 2023;17(1):33
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Li W, Shi P, Li S, Yu H. Current status and clinical perspectives of extended reality for myoelectric prostheses: review. Frontiers in Bioengineering and Biotechnology 2024;11
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Maas B, Van Der Sluis CK, Bongers RM. Assessing the effectiveness of serious game training designed to assist in upper limb prothesis rehabilitation. Frontiers in Rehabilitation Sciences 2024;5
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According to Crossref, the following books are citing this article (DOI 10.2196/games.6026):
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Arcos Hurtado EF, Ortegón Sanchez AF, Rentería J, Castillo Garcia JF, Millán Castro MDM. Applied Technologies. 2020. Chapter 16:192
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. Biomedical Visualisation. 2019. Chapter 2:15
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Prahm C, Vujaklija I, Kayali F, Sturma A. Bionic Limb Reconstruction. 2021. Chapter 21:215
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Müller PN, Achenbach P, Kleebe AM, Schmitt JU, Lehmann U, Tregel T, Göbel S. Serious Games. 2020. Chapter 18:230
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Sturma A, Hruby L, Vujaklija I, Østlie K, Farina D. Bionic Limb Reconstruction. 2021. Chapter 12:113
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. Surgical Rationales in Functional Reconstructive Surgery of the Upper Extremity. 2023. Chapter 4:43
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