ArticleSensors (Basel, Switzerland)2022
Multiscale Sensing of Bone-Implant Loosening for Multifunctional Smart Bone Implants: Using Capacitive Technologies for Precision Controllability.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study.JMIR medical informatics · 2026Review
- Personalized and genetically engineered animal models for next-generation surgical implant validation.Annals of medicine and surgery (2012) · 2025Review
- Innovative animal models for surgical interventions and implant biocompatibility: a translational perspective.Annals of medicine and surgery (2012) · 2025Review
- Porous Structures, Surface Modifications, and Smart Technologies for Total Ankle Arthroplasty: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025Review
- A millimetre-scale capacitive biosensing and biophysical stimulation system for emerging bioelectronic bone implants.Journal of the Royal Society, Interface · 2024Article
- Gathering Evidence to Leverage Musculoskeletal Magnetic Stimulation Towards Clinical Applicability.Small science · 2024Article
- The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024Review
- Sensor Technology in Fracture Healing.Indian journal of orthopaedics · 2023Review
- Bioelectronic multifunctional bone implants: recent trends.Bioelectronic medicine · 2022Review
- Multifunctional Smart Bone Implants: Fiction or Future?-A New Perspective.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The world population growth and average life expectancy rise have increased the number of people suffering from non-communicable diseases, namely osteoarthritis, a disorder that causes a significant increase in the years lived with disability. Many people who suffer from osteoarthritis undergo replacement surgery. Despite the relatively high success rate, around 10% of patients require revision surgeries, mostly because existing implant technologies lack sensing devices capable of monitoring the bone-implant interface. Among the several monitoring methodologies already proposed as substitutes for traditional imaging methods, cosurface capacitive sensing systems hold the potential to monitor the bone-implant fixation states, a mandatory capability for long-term implant survival. A multifaceted study is offered here, which covers research on the following points: (1) the ability of a cosurface capacitor network to effectively monitor bone loosening in extended peri-implant regions and according to different stimulation frequencies; (2) the ability of these capacitive architectures to provide effective sensing in interfaces with hydroxyapatite-based layers; (3) the ability to control the operation of cosurface capacitive networks using extracorporeal informatic systems. In vitro tests were performed using a web-based network sensor composed of striped and interdigitated capacitive sensors. Hydroxyapatite-based layers have a minor effect on determining the fixation states; the effective operation of a sensor network-based solution communicating through a web server hosted on Raspberry Pi was shown. Previous studies highlight the inability of current bone-implant fixation monitoring methods to significantly reduce the number of revision surgeries, as well as promising results of capacitive sensing systems to monitor micro-scale and macro-scale bone-interface states. In this study, we found that extracorporeal informatic systems enable continuous patient monitoring using cosurface capacitive networks with or without hydroxyapatite-based layers. Findings presented here represent significant advancements toward the design of future multifunctional smart implants.
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Registered trials
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