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Expert Syst Appl. 2012, 39:7420-31. 10.1016\/j.eswa.2012.01.102","journal-title":"Expert Syst Appl"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.813539","article-title":"A robust, real-time control scheme for multifunction myoelectric control","volume":"50","author":"Englehart K","year":"2003","unstructured":"Englehart K, Hudgins B. A robust, real-time control scheme for multifunction myoelectric control. IEEE Trans Biomed Eng. 2003, 50:848-54. 10.1109\/TBME.2003.813539","journal-title":"IEEE Trans Biomed Eng"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2016.00009","article-title":"Deep learning with convolutional neural networks applied to electromyography data: a resource for the classification of movements for prosthetic hands","volume":"10","author":"Atzori M","year":"2016","unstructured":"Atzori M, Cognolato M, M\u00fcller H. 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J Neural Eng. 2015, 12:046005. 10.1088\/1741-2560\/12\/4\/046005","journal-title":"J Neural Eng"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/accb0c","article-title":"Long-term upper-extremity prosthetic control using regenerative peripheral nerve interfaces and implanted EMG electrodes","volume":"20","author":"Vu PP","year":"2023","unstructured":"Vu PP, Vaskov AK, Lee C, et al.. Long-term upper-extremity prosthetic control using regenerative peripheral nerve interfaces and implanted EMG electrodes. J Neural Eng. 2023, 20:026039. 10.1088\/1741-2552\/accb0c","journal-title":"J Neural Eng"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/automation2030012","article-title":"Design of tendon-actuated robotic glove integrated with optical fiber force myography sensor","volume":"2","author":"Ribas Neto A","year":"2021","unstructured":"Ribas Neto A, Fajardo J, da Silva WH, et al.. 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J Peripher Nerv Syst. 2005, 10:229-58. 10.1111\/j.1085-9489.2005.10303.x","journal-title":"J Peripher Nerv Syst"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1097\/JS9.0000000000001573","article-title":"Advances in AI-based prosthetics development: editorial","volume":"110","author":"Chopra S","year":"2024","unstructured":"Chopra S, Emran TB. Advances in AI-based prosthetics development: editorial. Int J Surg. 2024, 110:4538-42. 10.1097\/JS9.0000000000001573","journal-title":"Int J Surg"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1126\/science.1206157","article-title":"Epidermal electronics","volume":"333","author":"Kim DH","year":"2011","unstructured":"Kim DH, Lu N, Ma R, et al.. Epidermal electronics. Science. 2011, 333:838-43. 10.1126\/science.1206157","journal-title":"Science"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s24092765","article-title":"Developing a novel prosthetic hand with wireless wearable sensor technology based on user perspectives: a pilot study","volume":"24","author":"Shimizu Y","year":"2024","unstructured":"Shimizu Y, Mori T, Yoshikawa K, et al.. Developing a novel prosthetic hand with wireless wearable sensor technology based on user perspectives: a pilot study. Sensors (Basel). 2024, 24:2765. 10.3390\/s24092765","journal-title":"Sensors (Basel)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17464-1","article-title":"The myokinetic control interface: tracking implanted magnets as a means for prosthetic control","volume":"7","author":"Tarantino S","year":"2017","unstructured":"Tarantino S, Clemente F, Barone D, Controzzi M, Cipriani C. The myokinetic control interface: tracking implanted magnets as a means for prosthetic control. Sci Rep. 2017, 7:17149. 10.1038\/s41598-017-17464-1","journal-title":"Sci Rep"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-19128-1","article-title":"Clinical implementation of a bionic hand controlled with kineticomyographic signals","volume":"12","author":"Moradi A","year":"2022","unstructured":"Moradi A, Rafiei H, Daliri M, Akbarzadeh-T MR, Akbarzadeh A, Naddaf-Sh AM, Naddaf-Sh S. Clinical implementation of a bionic hand controlled with kineticomyographic signals. Sci Rep. 2022, 12:14805. 10.1038\/s41598-022-19128-1","journal-title":"Sci Rep"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2022.3140973","article-title":"Classification performance and feature space characteristics in individuals with upper limb loss using sonomyography","volume":"10","author":"Engdahl S","year":"2022","unstructured":"Engdahl S, Dhawan A, Bashatah A, et al.. Classification performance and feature space characteristics in individuals with upper limb loss using sonomyography. IEEE J Transl Eng Health Med. 2022, 10:2100311. 10.1109\/JTEHM.2022.3140973","journal-title":"IEEE J Transl Eng Health Med"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3489438","article-title":"Self-supervised learning for intuitive control of prosthetic hand movements via sonomyography","volume":"55","author":"Yang X","year":"2025","unstructured":"Yang X, Yin Z, Sheng Y, Farina D, Liu H. Self-supervised learning for intuitive control of prosthetic hand movements via sonomyography. 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