The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Development of an Implantable Myoelectric Sensor for Advanced Prosthesis Control
Open accessAbstract
Modern hand and wrist prostheses afford a high level of mechanical sophistication, but the ability to control them in an intuitive and repeatable manner lags. Commercially available systems using surface electromyographic (EMG) or myoelectric control can supply at best two degrees of freedom (DOF), most often sequentially controlled. This limitation is partially due to the nature of surface‐recorded EMG, for which the signal contains components from multiple muscle sources. We report here on the development of an implantable myoelectric sensor using EMG sensors that can be chronically implanted into an amputee's residual muscles. Because sensing occurs at the source of muscle contraction, a single principal component of EMG is detected by each sensor, corresponding to intent to move a particular effector. This system can potentially provide independent signal sources for control of individual effectors within a limb prosthesis. The use of implanted devices supports inter‐day signal repeatability. We report on efforts in preparation for human clinical trials, including animal testing, and a first‐in‐human proof of principle demonstration where the subject was able to intuitively and simultaneously control two DOF in a hand and wrist prosthesis.
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“The penetrating electrodes are mostly rigid enough to maintain their structural integrity in the muscle.[367,368]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [367]
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Self-citationImplantable Myoelectric Sensors (IMESs) for Intramuscular Electromyogram Recording
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Items 101–119 of 119
Pogarasteanu, M. E., Moga, M., Barbilian, A. G., Avram, G. M., Dascălu, M., Franti, E. D., Gheorghiu, N., Moldovan, C., Rusu, E. E., Adam, R., et al. (2023) · Bioengineering · doi:10.3390/bioengineering10030319 · Cited by 1
Upper and Lower Limb Robotic Prostheses
Pilarski, P. M., & Hebert, J. S. (2017) · CRC Press eBooks · doi:10.4324/9781315368788-4 · Cited by 1
Tashiro, H., Popović, M. B., Iramina, K., Terasawa, Y., & Ohta, J. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812939-5.00006-9 · Cited by 1
Pogarasteanu, M. E., Costea, R., Berami, A., Drignei, E., Moga, M., Raita, Ș. M., Bălăceanu, R. A., Ionaşcu, I., Barbilian, R. C., & Radu, F. I. (2019) · Revista de Chimie · doi:10.37358/rc.19.2.6996 · Cited by 1
Human-Machine Integration and the Evolution of Neuroprostheses
Kethman, W. C., & Weir, R. F. F. (2020) · Springer eBooks · doi:10.1007/978-3-030-49100-0_21 · Cited by 1
Self-citationTranslating Advanced Myocontrol for Upper Limb Prostheses from the Laboratory to Clinics
Vujaklija, I. (2017) · doi:10.53846/goediss-6009 · Cited by 1
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Optimisation of pre-set forearm EMG electrode combinations using principal component analysis
Fyvie, K. G. H. M. (2018)
EMG-Based Interface Using Machine Learning
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Accelerating Development of Medical Devices Using Human‐Machine Interface
Karati, D., Mukherjee, S., Roy, S., & Prajapati, B. G. (2023) · Wiley eBooks · doi:10.1002/9781394200344.ch6
Tashiro, H., Herr, H., Popović, M. B., Iramina, K., Terasawa, Y., & Ohta, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13862-1.00017-5
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Design and Development of 3D Printed Prosthetic Arm
Kashyap, D. N., Bhagat, S. P., & Singh, S. (2025) · Lecture notes in mechanical engineering · doi:10.1007/978-981-96-3165-0_24
Aktuelle Entwicklungen und Ausblicke
Schröter, P. (2025) · Springer eBooks · doi:10.1007/978-3-662-67795-7_33
Becerra-Fajardo, L., Krob, M. O., Minguillón, J., Rodrigues, C., Welsch, C., Tudela-Pi, M., Comerma, A., Barroso, F. O., Schneider, A., & Ivorra, A. (2022) · Figshare · doi:10.6084/m9.figshare.20024629
Becerra-Fajardo, L., Minguillón, J., Krob, M. O., Rodrigues, C., González-Sánchez, M., Megía-García, Á., Galán, C. R., Henares, F. G., Comerma, A., del‐Ama, A. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24940697
Becerra-Fajardo, L., Minguillón, J., Krob, M. O., Rodrigues, C., González-Sánchez, M., Megía-García, Á., Galán, C. R., Henares, F. G., Comerma, A., del‐Ama, A. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24940983
Metadata
- Authors
- Merrill, D. R., Lockhart, J., Troyk, P. R., Weir, R. F., & Hankin, D. L.
- Affiliations
- Alfred Mann Foundation (US)
- Shirley Ryan AbilityLab (US)
- Corresponding author
- Merrill, Daniel R.
- ORCID
- Weir, Richard F.
- Venue
- Artificial Organs
- Publisher
- Wiley
- Published
- 2011-03
- Volume
- 35
- Issue
- 3
- Pages
- 249-252
- ISSN
- 0160-564X (ISSN-L)
- 1525-1594
- PMC
- PMC3768255
- OpenAlex
- W2097755153
- Cited by
- 117
- References
- 9
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 5 · 2023: 6 · 2022: 11 · 2021: 10 · 2020: 5 · 2019: 8 · 2018: 20 · 2017: 7 · 2016: 8 · 2015: 10 · 2014: 8 · 2013: 3 · 2012: 6
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Artificial Organs (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Biomedical Imaging and Bioengineering (R01EB001672)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- prosthetic hand control, wrist prosthesis, chronic implantation, surface electromyography, multi-degree-of-freedom control, amputees, signal repeatability
- MeSH terms
- Animals, Haplorhini, Artificial Limbs, Cats, Electromyography, Humans, Prosthesis Design, Prosthesis Implantation
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