{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T13:24:54Z","timestamp":1770989094973,"version":"3.50.1"},"reference-count":53,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,24]],"date-time":"2021-01-24T00:00:00Z","timestamp":1611446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/R004242\/1"],"award-info":[{"award-number":["EP\/R004242\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Understanding how upper-limb prostheses are used in daily life helps to improve the design and robustness of prosthesis control algorithms and prosthetic components. However, only a very small fraction of published research includes prosthesis use in community settings. The cost, limited battery life, and poor generalisation may be the main reasons limiting the implementation of home-based applications. In this work, we introduce the design of a cost-effective Arduino-based myoelectric control system with wearable electromyogram (EMG) sensors. The design considerations focused on home studies, so the robustness, user-friendly control adjustments, and user supports were the main concerns. Three control algorithms, namely, direct control, abstract control, and linear discriminant analysis (LDA) classification, were implemented in the system. In this paper, we will share our design principles and report the robustness of the system in continuous operation in the laboratory. In addition, we will show a first real-time implementation of the abstract decoder for prosthesis control with an able-bodied participant.<\/jats:p>","DOI":"10.3390\/s21030763","type":"journal-article","created":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T12:28:31Z","timestamp":1611577711000},"page":"763","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8411-1127","authenticated-orcid":false,"given":"Hancong","family":"Wu","sequence":"first","affiliation":[{"name":"School of Informatics, The University of Edinburgh, Edinburgh EH8 9YL, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8707-0137","authenticated-orcid":false,"given":"Matthew","family":"Dyson","sequence":"additional","affiliation":[{"name":"School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4217-0254","authenticated-orcid":false,"given":"Kianoush","family":"Nazarpour","sequence":"additional","affiliation":[{"name":"School of Informatics, The University of Edinburgh, Edinburgh EH8 9YL, UK"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1177\/229255031402200111","article-title":"The evolution of functional hand replacement: From iron prostheses to hand transplantation","volume":"22","author":"Zuo","year":"2014","journal-title":"Plast. Surg."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12984-020-00711-4","article-title":"Technology for monitoring everyday prosthesis use: A systematic review","volume":"17","author":"Chadwell","year":"2020","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/03093640600994581","article-title":"Upper limb prosthesis use and abandonment: A survey of the last 25 years","volume":"31","author":"Biddiss","year":"2007","journal-title":"Prosthet. Orthot. Int."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1644","DOI":"10.1177\/1071181319631508","article-title":"Understanding prosthetic abandonment","volume":"63","author":"Espinosa","year":"2019","journal-title":"Proc. Hum. Factors Ergon. Soc. Annu. Meet."},{"key":"ref_5","first-page":"150","article-title":"Myoelectric control of artificial limbs\u2014Is there a need to change focus? [In the spotlight]","volume":"29","author":"Jiang","year":"2012","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2537","DOI":"10.1109\/TBME.2011.2159216","article-title":"The effects of electrode size and orientation on the sensitivity of myoelectric pattern recognition systems to electrode shift","volume":"58","author":"Young","year":"2011","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1682\/JRRD.2010.09.0177","article-title":"Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use","volume":"48","author":"Scheme","year":"2011","journal-title":"J. Rehabil. Res. Dev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3389\/fnbot.2017.00007","article-title":"Translating research on myoelectric control into clinics-are the performance assessment methods adequate?","volume":"11","author":"Vujaklija","year":"2017","journal-title":"Front. Neurorobot."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3389\/fnbot.2016.00007","article-title":"The reality of myoelectric prostheses: Understanding what makes these devices difficult for some users to control","volume":"10","author":"Chadwell","year":"2016","journal-title":"Front. Neurorobot."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Cipriani, C., Sassu, R., Controzzi, M., and Carrozza, M.C. (September, January 30). Influence of the weight actions of the hand prosthesis on the performance of pattern recognition based myoelectric control: Preliminary study. Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA.","DOI":"10.1109\/IEMBS.2011.6090468"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1109\/TNSRE.2015.2492619","article-title":"Improving the robustness of myoelectric pattern recognition for upper limb prostheses by covariate shift adaptation","volume":"24","author":"Vidovic","year":"2015","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-14386-w","article-title":"Myoelectric pattern recognition outperforms direct control for transhumeral amputees with targeted muscle reinnervation: A randomized clinical trial","volume":"7","author":"Hargrove","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.1109\/TNSRE.2020.3000310","article-title":"Learning, generalization, and scalability of abstract myoelectric Control","volume":"28","author":"Dyson","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1109\/TNSRE.2015.2401134","article-title":"Concurrent adaptation of human and machine improves simultaneous and proportional myoelectric control","volume":"23","author":"Hahne","year":"2015","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_15","first-page":"56","article-title":"Patient training for functional use of pattern recognition\u2013controlled prostheses","volume":"24","author":"Simon","year":"2012","journal-title":"J. Prosthet. Prthotics JPO"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"133","DOI":"10.3389\/frobt.2020.559034","article-title":"Portable take-home system enables proportional control and high-resolution data logging with a multi-degree-of-freedom bionic arm","volume":"7","author":"Brinton","year":"2020","journal-title":"Front. Robot. AI"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"853","DOI":"10.3389\/fnins.2019.00853","article-title":"Learning artificial sensation through long-term home use of a sensory-enabled prosthesis","volume":"13","author":"Cuberovic","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1177\/0309364617728117","article-title":"The DEKA hand: A multifunction prosthetic terminal device-patterns of grip usage at home","volume":"42","author":"Resnik","year":"2018","journal-title":"Prosthet. Orthot. Int."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1109\/TNSRE.2014.2305111","article-title":"The extraction of neural information from the surface EMG for the control of upper-limb prostheses: Emerging avenues and challenges","volume":"22","author":"Farina","year":"2014","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-26952-x","article-title":"Home use of a neural-connected sensory prosthesis provides the functional and psychosocial experience of having a hand again","volume":"8","author":"Graczyk","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1126\/scirobotics.aat3630","article-title":"Simultaneous control of multiple functions of bionic hand prostheses: Performance and robustness in end users","volume":"3","author":"Hahne","year":"2018","journal-title":"Sci. Robot."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"9634184","DOI":"10.1155\/2018\/9634184","article-title":"Towards ultra low-cost myoactivated prostheses","volume":"2018","author":"Sreenivasan","year":"2018","journal-title":"BioMed Res. Int."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"108462","DOI":"10.1016\/j.jneumeth.2019.108462","article-title":"Intuitive neuromyoelectric control of a dexterous bionic arm using a modified Kalman filter","volume":"330","author":"George","year":"2020","journal-title":"J. Neurosci. Methods"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Pai, U.J., Sarath, N., Sidharth, R., Kumar, A.P., Pramod, S., and Udupa, G. (2016, January 18\u201320). Design and manufacture of 3D printed myoelectric multi-fingered hand for prosthetic application. Proceedings of the 2016 International Conference on Robotics and Automation for Humanitarian Applications (RAHA), Kollam, India.","DOI":"10.1109\/RAHA.2016.7931904"},{"key":"ref_25","unstructured":"Nguyen, N. (2018). Developing a Low-Cost Myoelectric Prosthetic Hand. [Bachelor\u2019s Thesis, Metropolia University of Applied Sciences]."},{"key":"ref_26","unstructured":"Schorger, K., Simon, J.P., Clark, D., and Williams, A. (2018). Pneumatic Hand Prosthesis Project. [Bachelor\u2019s Thesis, Cal Maritime]."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1245541","DOI":"10.1080\/23311916.2016.1245541","article-title":"Single channel myoelectric control of a 3D printed transradial prosthesis","volume":"3","year":"2016","journal-title":"Cogent Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"537","DOI":"10.12928\/telkomnika.v17i1.11600","article-title":"Anthropomorphic transradial myoelectric hand using tendon-spring mechanism","volume":"17","author":"Ariyanto","year":"2019","journal-title":"Telkomnika"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Canizares, A., Pazos, J., and Ben\u00edtez, D. (2017, January 8\u201310). On the use of 3D printing technology towards the development of a low-cost robotic prosthetic arm. Proceedings of the 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Mexico.","DOI":"10.1109\/ROPEC.2017.8261579"},{"key":"ref_30","unstructured":"Gevins, A.S., Durousseau, D., and Libove, J. (1990). Dry Electrode Brain Wave Recording System. (4,967,038), U.S. Patent."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.sna.2012.04.019","article-title":"Preliminary technological assessment of microneedles-based dry electrodes for biopotential monitoring in clinical examinations","volume":"180","author":"Forvi","year":"2012","journal-title":"Sens. Actuators A Phys."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"056003","DOI":"10.1088\/1741-2552\/aacbfe","article-title":"Myoelectric control with abstract decoders","volume":"15","author":"Dyson","year":"2018","journal-title":"J. Neural Eng."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2687","DOI":"10.1007\/s10439-013-0876-5","article-title":"Abstract and proportional myoelectric control for multi-fingered hand prostheses","volume":"41","author":"Pistohl","year":"2013","journal-title":"Ann. Biomed. Eng."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2575","DOI":"10.1109\/TBME.2016.2641584","article-title":"Interface prostheses with classifier-feedback-based user training","volume":"64","author":"Fang","year":"2016","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1038\/nature07418","article-title":"Direct control of paralysed muscles by cortical neurons","volume":"456","author":"Moritz","year":"2008","journal-title":"Nature"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1109\/TNSRE.2019.2959243","article-title":"Multi-Grip Classification-Based Prosthesis Control with Two EMG-IMU Sensors","volume":"28","author":"Krasoulis","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"16872","DOI":"10.1038\/s41598-020-72574-7","article-title":"Myoelectric digit action decoding with multi-label, multi-class classification: An offline analysis","volume":"10","author":"Krasoulis","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"4832","DOI":"10.1016\/j.eswa.2013.02.023","article-title":"EMG feature evaluation for improving myoelectric pattern recognition robustness","volume":"40","author":"Phinyomark","year":"2013","journal-title":"Expert Syst. Appl."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/S0893-6080(98)00066-5","article-title":"Multiple paired forward and inverse models for motor control","volume":"11","author":"Wolpert","year":"1998","journal-title":"Neural Netw."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1152\/jn.00247.2010","article-title":"Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation","volume":"105","author":"Liu","year":"2011","journal-title":"J. Neurophysiol."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Barnes, J., Dyson, M., and Nazarpour, K. (2016, January 9\u201312). Comparison of hand and forearm muscle pairs in controlling of a novel myoelectric interface. Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary.","DOI":"10.1109\/SMC.2016.7844671"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Farrell, T. (2008, January 13\u201315). Analysis window induced controller delay for multifunctional prostheses. Proceedings of the Myoelectric Controls Symp, Fredericton, NB, Canada.","DOI":"10.1109\/TNSRE.2007.891391"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1109\/TNSRE.2007.891391","article-title":"The optimal controller delay for myoelectric prostheses","volume":"15","author":"Farrell","year":"2007","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"429","DOI":"10.3389\/fbioe.2020.00429","article-title":"Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics","volume":"8","author":"Rizzoglio","year":"2020","journal-title":"Front. Bioeng. Biotechnol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1080\/03093640601061265","article-title":"Results of an Internet survey of myoelectric prosthetic hand users","volume":"31","author":"Pylatiuk","year":"2007","journal-title":"Prosthet. Orthot. Int."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Dyson, M., and Nazarpour, K. (2018, January 18\u201321). Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees. Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8513075"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"600","DOI":"10.3389\/fnins.2020.00600","article-title":"Longitudinal case study of regression-based hand prosthesis control in daily life","volume":"14","author":"Hahne","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/B978-0-444-53752-2.00014-X","article-title":"Sensory motor remapping of space in human\u2013machine interfaces","volume":"Volume 191","author":"Casadio","year":"2011","journal-title":"Progress in Brain Research"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1097\/JPO.0b013e31827af7c1","article-title":"A training strategy for learning pattern recognition control for myoelectric prostheses","volume":"25","author":"Powell","year":"2013","journal-title":"J. Prosthet. Orthot. JPO"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Resnik, L.J., Acluche, F., and Lieberman Klinger, S. (2018). User experience of controlling the DEKA Arm with EMG pattern recognition. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0203987"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.jnca.2011.10.015","article-title":"An overview of the Internet of Things for people with disabilities","volume":"35","author":"Domingo","year":"2012","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_52","first-page":"9324035","article-title":"Internet of things: Architectures, protocols, and applications","volume":"2017","author":"Sethi","year":"2017","journal-title":"J. Electr. Comput. Eng."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"26521","DOI":"10.1109\/ACCESS.2017.2775180","article-title":"Internet of things for smart healthcare: Technologies, challenges, and opportunities","volume":"5","author":"Baker","year":"2017","journal-title":"IEEE Access"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/3\/763\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:14:37Z","timestamp":1760159677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/3\/763"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,24]]},"references-count":53,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["s21030763"],"URL":"https:\/\/doi.org\/10.3390\/s21030763","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,24]]}}}