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Pires DG, Silva NM, de Sousa BM, Marques JL, Ramos A, Ferreira JAF, Morais R, Vieira SI, Soares Dos Santos MP. A millimetre-scale capacitive biosensing and biophysical stimulation system for emerging bioelectronic bone implants. J R Soc Interface 2024; 21:20240279. [PMID: 39257282 PMCID: PMC11463222 DOI: 10.1098/rsif.2024.0279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/26/2024] [Accepted: 07/29/2024] [Indexed: 09/12/2024] Open
Abstract
Bioelectronic bone implants are being widely recognized as a promising technology for highly personalized bone/implant interface sensing and biophysical therapeutic stimulation. Such bioelectronic devices are based on an innovative concept with the ability to be applied to a wide range of implants, including in fixation and prosthetic systems. Recently, biointerface sensing using capacitive patterns was proposed to overcome the limitations of standard imaging technologies and other non-imaging technologies; moreover, electric stimulation using capacitive patterns was proposed to overcome the limitations of non-instrumented implants. We here provide an innovative low-power miniaturized electronic system with ability to provide both therapeutic stimulation and bone/implant interface monitoring using network-architectured capacitive interdigitated patterns. It comprises five modules: sensing, electric stimulation, processing, communication and power management. This technology was validated using in vitro tests: concerning the sensing system, its ability to detect biointerface changes ranging from tiny to severe bone-implant interface changes in target regions was validated; concerning the stimulation system, its ability to significantly enhance bone cells' full differentiation, including matrix maturation and mineralization, was also confirmed. This work provides an impactful contribution and paves the way for the development of the new generation of orthopaedic biodevices.
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Affiliation(s)
- Diogo G Pires
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal
| | - Nuno M Silva
- Engineering Department, University of Trás-os-Montes e Alto Douro , Vila Real 5000-801, Portugal
| | - Bárbara M de Sousa
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro , Aveiro 3810-193, Portugal
| | - João L Marques
- Department of Physics, University of Aveiro , Aveiro 3810-193, Portugal
| | - António Ramos
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal
- Intelligent Systems Associate Laboratory (LASI) , Guimarães 4800-058, Portugal
| | - Jorge A F Ferreira
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal
- Intelligent Systems Associate Laboratory (LASI) , Guimarães 4800-058, Portugal
| | - Raul Morais
- Engineering Department, University of Trás-os-Montes e Alto Douro , Vila Real 5000-801, Portugal
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes e Alto Douro , Vila Real, 5000-801, Portugal
| | - Sandra I Vieira
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro , Aveiro 3810-193, Portugal
| | - Marco P Soares Dos Santos
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal
- Intelligent Systems Associate Laboratory (LASI) , Guimarães 4800-058, Portugal
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Wang J, Chu J, Song J, Li Z. The application of impantable sensors in the musculoskeletal system: a review. Front Bioeng Biotechnol 2024; 12:1270237. [PMID: 38328442 PMCID: PMC10847584 DOI: 10.3389/fbioe.2024.1270237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
As the population ages and the incidence of traumatic events rises, there is a growing trend toward the implantation of devices to replace damaged or degenerated tissues in the body. In orthopedic applications, some implants are equipped with sensors to measure internal data and monitor the status of the implant. In recent years, several multi-functional implants have been developed that the clinician can externally control using a smart device. Experts anticipate that these versatile implants could pave the way for the next-generation of technological advancements. This paper provides an introduction to implantable sensors and is structured into three parts. The first section categorizes existing implantable sensors based on their working principles and provides detailed illustrations with examples. The second section introduces the most common materials used in implantable sensors, divided into rigid and flexible materials according to their properties. The third section is the focal point of this article, with implantable orthopedic sensors being classified as joint, spine, or fracture, based on different practical scenarios. The aim of this review is to introduce various implantable orthopedic sensors, compare their different characteristics, and outline the future direction of their development and application.
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Affiliation(s)
- Jinzuo Wang
- Department of Orthopaedics, First Affiliated Hospital of Dalian Medical University, Dalian, China
- Key Laboratory of Molecular Mechanism for Repair and Remodeling of Orthopaedic Diseases, Dalian, Liaoning, China
| | - Jian Chu
- Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
| | - Jinhui Song
- Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
| | - Zhonghai Li
- Department of Orthopaedics, First Affiliated Hospital of Dalian Medical University, Dalian, China
- Key Laboratory of Molecular Mechanism for Repair and Remodeling of Orthopaedic Diseases, Dalian, Liaoning, China
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Ashall M, Wheatley MGA, Saliba C, Deluzio KJ, Rainbow MJ. Prediction of Model Generated Patellofemoral Joint Contact Forces Using Principal Component Prediction and Reconstruction. J Appl Biomech 2023; 39:388-394. [PMID: 37633654 DOI: 10.1123/jab.2022-0247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/30/2023] [Accepted: 07/03/2023] [Indexed: 08/28/2023]
Abstract
It is not currently possible to directly and noninvasively measure in vivo patellofemoral joint contact force during dynamic movement; therefore, indirect methods are required. Simple models may be inaccurate because patellofemoral contact forces vary for the same knee flexion angle, and the patellofemoral joint has substantial out-of-plane motion. More sophisticated models use 3-dimensional kinematics and kinetics coupled to a subject-specific anatomical model to predict contact forces; however, these models are time consuming and expensive. We applied a principal component analysis prediction and regression method to predict patellofemoral joint contact forces derived from a robust musculoskeletal model using exclusively optical motion capture kinematics (external approach), and with both patellofemoral and optical motion capture kinematics (internal approach). We tested this on a heterogeneous population of asymptomatic subjects (n = 8) during ground-level walking (n = 12). We developed equations that successfully capture subject-specific gait characteristics with the internal approach outperforming the external. These approaches were compared with a knee-flexion based model in literature (Brechter model). Both outperformed the Brechter model in interquartile range, limits of agreement, and the coefficient of determination. The equations generated by these approaches are less computationally demanding than a musculoskeletal model and may act as an effective tool in future rapid gait analysis and biofeedback applications.
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Affiliation(s)
- Myles Ashall
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON,Canada
| | - Mitchell G A Wheatley
- Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON,Canada
| | | | - Kevin J Deluzio
- Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON,Canada
| | - Michael J Rainbow
- Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON,Canada
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Jeyaraman M, Jayakumar T, Jeyaraman N, Nallakumarasamy A. Sensor Technology in Fracture Healing. Indian J Orthop 2023; 57:1196-1202. [PMID: 37525725 PMCID: PMC10386990 DOI: 10.1007/s43465-023-00933-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/08/2023] [Indexed: 08/02/2023]
Abstract
Introduction SMART sensor technology may provide the solution to bridge the gap between the current radiographic determination of fracture healing and clinical assessment. The displacement and rigidity between the fracture ends can be accurately measured using strain gauges. Progressively increasing stiffness is a sign of fracture consolidation which can be monitored using sensors. The design of standard orthopaedic implants can remain the same and needs no major modifications as the sensor can be mounted onto the implant without occupying much space. Data regarding various fracture morphologies and their strain levels throughout the fracture healing process may help develop AI algorithms that can subsequently be used to optimise implant design/materials. Materials and Methods The literature search was performed in PubMed, PubMed Central, Scopus, and Web of Science databases for reviewing and evaluating the published scientific data regarding sensor technology in fracture healing. Results and Interpretation SMART sensor technology comes with a variety of uses such as determining fracture healing progress, predicting early implant failure, and determining fractures liable for non-union to exemplify a few. The main limitations are that it is still in its inception and needs extensive refinement before it becomes widely and routinely used in clinical practice. Nevertheless, with continuous advances in microprocessor technology, research designs, and additive manufacturing, the utilisation and application of SMART implants in the field of trauma and orthopaedic surgery are constantly growing. Conclusion Mass production of such SMART implants will reduce overall production costs and see its use in routine clinical practice in the future and is likely to make a significant contribution in the next industrial revolution termed 'Industry 5.0' which aims at personalised patient-specific implants and devices. SMART sensor technology may, therefore, herald a new era in the field of orthopaedic trauma.
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Affiliation(s)
- Madhan Jeyaraman
- Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, Tamil Nadu 600056 India
| | - Tarun Jayakumar
- Department of Orthopaedics, KIMS-Sunshine Hospital, Hyderabad, Telangana 500003 India
| | - Naveen Jeyaraman
- Department of Orthopaedics, Shri Sathya Sai Medical College and Research Institute, Sri Balaji Vidyapeeth, Chengalpattu, Tamil Nadu 603108 India
| | - Arulkumar Nallakumarasamy
- Department of Orthopaedics, All India Institute of Medical Sciences, Bhubaneswar, Odisha 751019 India
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“Smart Knee Implants: An Overview of Current Technologies and Future Possibilities”. Indian J Orthop 2022; 57:635-642. [PMID: 37128565 PMCID: PMC10147863 DOI: 10.1007/s43465-022-00810-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022]
Abstract
Abstract
Background
This article focuses on clinical implementation of smart knee implants for total knee replacement and the future development of smart implant technology. With the number of total knee replacements undertaken growing worldwide, smart implants incorporating embedded sensor technology offer opportunity to improve post-operative recovery, reducing implant failure rates, and increasing overall patient satisfaction.
Methods
A literature review on smart implants, historical prototypes, current clinically available smart implants, and the future potential for conventional implant instrumentation with embedded sensors and electronics was undertaken.
Results
The overview of current and future technology describes use cases for various diagnostic and therapeutic treatment solutions.
Conclusion
Smart knee implants are at an early development stage, with the first generation of smart implants being available to patients and with more novel technologies under development.
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Soares Dos Santos MP, Bernardo RMC. Bioelectronic multifunctional bone implants: recent trends. Bioelectron Med 2022; 8:15. [PMID: 36127721 PMCID: PMC9490885 DOI: 10.1186/s42234-022-00097-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/23/2022] [Indexed: 12/04/2022] Open
Abstract
The concept of Instrumented Smart Implant emerged as a leading research topic that aims to revolutionize the field of orthopaedic implantology. These implants have been designed incorporating biophysical therapeutic actuation, bone-implant interface sensing, implant-clinician communication and self-powering ability. The ultimate goal is to implement revist interface, controlled by clinicians/surgeons without troubling the quotidian activities of patients. Developing such high-performance technologies is of utmost importance, as bone replacements are among the most performed surgeries worldwide and implant failure rates can still exceed 10%. In this review paper, an overview to the major breakthroughs carried out in the scope of multifunctional smart bone implants is provided. One can conclude that many challenges must be overcome to successfully develop them as revision-free implants, but their many strengths highlight a huge potential to effectively establish a new generation of high-sophisticated biodevices.
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Affiliation(s)
- Marco P Soares Dos Santos
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal.
| | - Rodrigo M C Bernardo
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal
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de Sousa BM, Correia CR, Ferreira JAF, Mano JF, Furlani EP, Soares Dos Santos MP, Vieira SI. Capacitive interdigitated system of high osteoinductive/conductive performance for personalized acting-sensing implants. NPJ Regen Med 2021; 6:80. [PMID: 34815414 PMCID: PMC8611088 DOI: 10.1038/s41536-021-00184-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 10/19/2021] [Indexed: 11/15/2022] Open
Abstract
Replacement orthopedic surgeries are among the most common surgeries worldwide, but clinically used passive implants cannot prevent failure rates and inherent revision arthroplasties. Optimized non-instrumented implants, resorting to preclinically tested bioactive coatings, improve initial osseointegration but lack long-term personalized actuation on the bone-implant interface. Novel bioelectronic devices comprising biophysical stimulators and sensing systems are thus emerging, aiming for long-term control of peri-implant bone growth through biointerface monitoring. These acting-sensing dual systems require high frequency (HF) operations able to stimulate osteoinduction/osteoconduction, including matrix maturation and mineralization. A sensing-compatible capacitive stimulator of thin interdigitated electrodes and delivering an electrical 60 kHz HF stimulation, 30 min/day, is here shown to promote osteoconduction in pre-osteoblasts and osteoinduction in human adipose-derived mesenchymal stem cells (hASCs). HF stimulation through this capacitive interdigitated system had significant effects on osteoblasts' collagen-I synthesis, matrix, and mineral deposition. A proteomic analysis of microvesicles released from electrically-stimulated osteoblasts revealed regulation of osteodifferentiation and mineralization-related proteins (e.g. Tgfb3, Ttyh3, Itih1, Aldh1a1). Proteomics data are available via ProteomeXchange with the identifier PXD028551. Further, under HF stimulation, hASCs exhibited higher osteogenic commitment and enhanced hydroxyapatite deposition. These promising osteoinductive/conductive capacitive stimulators will integrate novel bioelectronic implants able to monitor the bone-implant interface and deliver personalized stimulation to peri-implant tissues.
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Affiliation(s)
- Bárbara M de Sousa
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193, Aveiro, Portugal
| | - Clara R Correia
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Jorge A F Ferreira
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193, Aveiro, Portugal
| | - João F Mano
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Edward P Furlani
- Department of Chemical and Biological Engineering, Department of Electrical Engineering, University at Buffalo (SUNY), Buffalo, NY, 14260, USA
| | - Marco P Soares Dos Santos
- Department of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193, Aveiro, Portugal.
- Faculty of Engineering, Associated Laboratory for Energy, Transports and Aeronautics (LAETA), University of Porto, 4200-465, Porto, Portugal.
| | - Sandra I Vieira
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193, Aveiro, Portugal.
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8
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Towards an effective sensing technology to monitor micro-scale interface loosening of bioelectronic implants. Sci Rep 2021; 11:3449. [PMID: 33568680 PMCID: PMC7876021 DOI: 10.1038/s41598-021-82589-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 01/13/2021] [Indexed: 12/25/2022] Open
Abstract
Instrumented implants are being developed with a radically innovative design to significantly reduce revision surgeries. Although bone replacements are among the most prevalent surgeries performed worldwide, implant failure rate usually surpasses 10%. High sophisticated multifunctional bioelectronic implants are being researched to incorporate cosurface capacitive architectures with ability to deliver personalized electric stimuli to peri-implant target tissues. However, the ability of these architectures to detect bone-implant interface states has never been explored. Moreover, although more than forty technologies were already proposed to detect implant loosening, none is able to ensure effective monitoring of the bone-implant debonding, mainly during the early stages of loosening. This work shows, for the first time, that cosurface capacitive sensors are a promising technology to provide an effective monitoring of bone-implant interfaces during the daily living of patients. Indeed, in vitro experimental tests and simulation with computational models highlight that both striped and circular capacitive architectures are able to detect micro-scale and macro-scale interface bonding, debonding or loosening, mainly when bonding is weakening or loosening is occurring. The proposed cosurface technologies hold potential to implement highly effective and personalized sensing systems such that the performance of multifunctional bioelectronic implants can be strongly improved. Findings were reported open a new research line on sensing technologies for bioelectronic implants, which may conduct to great impacts in the coming years.
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9
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Compartmental force and contact location sensing in instrumented total knee replacements. Med Eng Phys 2020; 83:64-72. [PMID: 32807349 DOI: 10.1016/j.medengphy.2020.07.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 04/04/2020] [Accepted: 07/18/2020] [Indexed: 11/20/2022]
Abstract
For the past three decades, total knee replacement has become the main solution for progressed knee injuries and diseases. Due to a lack of postoperative in vivo data, a universal correlation between intra- and postoperative soft tissue balance in the knee joint has not been established. In this work, an instrumented knee implant design with six piezoelectric transducers embedded in the tibial bearing is proposed. The aim of the presented device is to measure the total and compartmental forces as well as to track the location of contact points on the medial and lateral compartments of the bearing. A numerical analysis using finite element software is first performed to obtain the best sensory system arrangement inside the bearing. The chosen design is then used to fabricate a prototype of the device. Several experiments are designed and performed using the prototype, and the ability of the proposed system to track the location and magnitude of applied compartmental forces on the bearing is evaluated. The experimental results show that the instrumented knee bearing is able to accurately measure the compartmental force quantities with a maximum error of 2.6% of the peak axial load, and the contact point locations with a maximum error of less than 1 mm.
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Ramakrishna VAS, Chamoli U, Rajan G, Mukhopadhyay SC, Prusty BG, Diwan AD. Smart orthopaedic implants: A targeted approach for continuous postoperative evaluation in the spine. J Biomech 2020; 104:109690. [PMID: 32139096 DOI: 10.1016/j.jbiomech.2020.109690] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/17/2020] [Accepted: 02/23/2020] [Indexed: 11/16/2022]
Abstract
Real-time health monitoring systems are emerging in diverse medical fields, tracking biological and physiological signals for direct feedback to the user. Orthopaedics is yet to adapt to innovative trends in health monitoring. Despite an evident entry point during orthopaedic surgeries, clinicians remain unable to objectively examine the structural integrity and biomechanics in the operated region through implantable sensors. As such, postoperative advice can be non-specific and poorly guided. This perspective discusses the clinical need for load-sensing implants that address biomechanical postoperative monitoring, taking the example of spinal interbody cages. Research has attempted to establish sensing approaches in different orthopaedic settings; however, they fail to meet mechanical sensing requirements or lack in vivo translatability, especially in the spine. Polymeric flexible sensors and Microelectromechanical Systems (MEMS) have favourable attributes aligned to the required features for in vivo load-sensing, although these approaches are yet to be tested extensively in orthopaedics. While inductive powering is promising, wireless energy transfer and telemetry are areas of ongoing research. This perspective proposes a thorough understanding of the relevant biomechanics to identify the pertinent sensing parameters, concurrent treatment of sensing and powering aspects, and utilisation of energy harvesting for sensing and data transmission. While sensing advancements have contributed to the rise of real-time health monitoring in other fields of medicine, orthopaedics has so far been overlooked. It is the application of these innovations that will lead to the development of a new generation of 'smart' implants for continuous postoperative evaluation.
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Affiliation(s)
- Vivek A S Ramakrishna
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Kensington, New South Wales, Australia; Spine Labs, St. George & Sutherland Clinical School, University of New South Wales, Sydney, New South Wales, Australia; School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - Uphar Chamoli
- Spine Labs, St. George & Sutherland Clinical School, University of New South Wales, Sydney, New South Wales, Australia; School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, New South Wales, Australia.
| | - Ginu Rajan
- School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, New South Wales, Australia
| | - Subhas C Mukhopadhyay
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales, Australia
| | - B Gangadhara Prusty
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Kensington, New South Wales, Australia
| | - Ashish D Diwan
- Spine Labs, St. George & Sutherland Clinical School, University of New South Wales, Sydney, New South Wales, Australia; Spine Service, Department of Orthopaedic Surgery St. George Hospital Campus, Kogarah, New South Wales, Australia
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11
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Cachão JH, Soares dos Santos MP, Bernardo R, Ramos A, Bader R, Ferreira JAF, Torres Marques A, Simões JAO. Altering the Course of Technologies to Monitor Loosening States of Endoprosthetic Implants. SENSORS 2019; 20:s20010104. [PMID: 31878028 PMCID: PMC6982938 DOI: 10.3390/s20010104] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/07/2019] [Accepted: 11/10/2019] [Indexed: 02/02/2023]
Abstract
Musculoskeletal disorders are becoming an ever-growing societal burden and, as a result, millions of bone replacements surgeries are performed per year worldwide. Despite total joint replacements being recognized among the most successful surgeries of the last century, implant failure rates exceeding 10% are still reported. These numbers highlight the necessity of technologies to provide an accurate monitoring of the bone–implant interface state. This study provides a detailed review of the most relevant methodologies and technologies already proposed to monitor the loosening states of endoprosthetic implants, as well as their performance and experimental validation. A total of forty-two papers describing both intracorporeal and extracorporeal technologies for cemented or cementless fixation were thoroughly analyzed. Thirty-eight technologies were identified, which are categorized into five methodologies: vibrometric, acoustic, bioelectric impedance, magnetic induction, and strain. Research efforts were mainly focused on vibrometric and acoustic technologies. Differently, approaches based on bioelectric impedance, magnetic induction and strain have been less explored. Although most technologies are noninvasive and are able to monitor different loosening stages of endoprosthetic implants, they are not able to provide effective monitoring during daily living of patients.
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Affiliation(s)
- João Henrique Cachão
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Marco P. Soares dos Santos
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
- Center for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193 Aveiro, Portugal
- Associated Laboratory for Energy, Transports and Aeronautics (LAETA), 4150-179 Porto, Portugal
- Correspondence:
| | - Rodrigo Bernardo
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
| | - António Ramos
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
- Center for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193 Aveiro, Portugal
| | - Rainer Bader
- Department of Orthopedics, University Medicine Rostock, 18057 Rostock, Germany
| | - Jorge A. F. Ferreira
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
- Center for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193 Aveiro, Portugal
| | - António Torres Marques
- Associated Laboratory for Energy, Transports and Aeronautics (LAETA), 4150-179 Porto, Portugal
- Mechanical Engineering Department, University of Porto, 4200-465 Porto, Portugal
| | - José A. O. Simões
- Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal
- Center for Mechanical Technology & Automation (TEMA), University of Aveiro, 3810-193 Aveiro, Portugal
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12
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Bernardo R, Rodrigues A, Soares Dos Santos MP, Carneiro P, Lopes A, Sequeira Amaral J, Sequeira Amaral V, Morais R. Novel magnetic stimulation methodology for low-current implantable medical devices. Med Eng Phys 2019; 73:77-84. [PMID: 31477429 DOI: 10.1016/j.medengphy.2019.07.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 05/10/2019] [Accepted: 07/28/2019] [Indexed: 12/15/2022]
Abstract
Recent studies highlight the ability of inductive architectures to deliver therapeutic magnetic stimuli to target tissues and to be embedded into small-scale intracorporeal medical devices. However, to date, current micro-scale biomagnetic devices require very high electric current excitations (usually exceeding 1 A) to ensure the delivery of efficient magnetic flux densities. This is a critical problem as advanced implantable devices demand self-powering, stand-alone and long-term operation. This work provides, for the first time, a novel small-scale magnetic stimulation system that requires up to 50-fold lower electric current excitations than required by relevant biomagnetic technology recently proposed. Computational models were developed to analyse the magnetic stimuli distributions and densities delivered to cellular tissues during in vitro experiments, such that the feasibility of this novel stimulator can be firstly evaluated on cell culture tests. The results demonstrate that this new stimulative technology is able to deliver osteogenic stimuli (0.1-7 mT range) by current excitations in the 0.06-4.3 mA range. Moreover, it allows coil designs with heights lower than 1 mm without significant loss of magnetic stimuli capability. Finally, suitable core diameters and stimulator-stimulator distances allow to define heterogeneity or quasi-homogeneity stimuli distributions. These results support the design of high-sophisticated biomagnetic devices for a wide range of therapeutic applications.
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Affiliation(s)
- Rodrigo Bernardo
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - André Rodrigues
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - Marco P Soares Dos Santos
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal; Centre for Mechanical Technology and Automation (TEMA), University of Aveiro, Aveiro, Portugal; Associated Laboratory for Energy, Transports and Aeronautics (LAETA), Portugal.
| | - Pedro Carneiro
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - António Lopes
- Department of Physics, University of Aveiro, Aveiro, Portugal; Aveiro Institute of Materials, Aveiro, Portugal
| | - João Sequeira Amaral
- Department of Physics, University of Aveiro, Aveiro, Portugal; Aveiro Institute of Materials, Aveiro, Portugal
| | - Vítor Sequeira Amaral
- Department of Physics, University of Aveiro, Aveiro, Portugal; Aveiro Institute of Materials, Aveiro, Portugal
| | - Raul Morais
- University of Trás-os-Montes e Alto Douro, Vila Real, Portugal; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
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Soares Dos Santos MP, Coutinho J, Marote A, Sousa B, Ramos A, Ferreira JAF, Bernardo R, Rodrigues A, Marques AT, Cruz E Silva OABD, Furlani EP, Simões JAO, Vieira SI. Capacitive technologies for highly controlled and personalized electrical stimulation by implantable biomedical systems. Sci Rep 2019; 9:5001. [PMID: 30899061 PMCID: PMC6428833 DOI: 10.1038/s41598-019-41540-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 02/28/2019] [Indexed: 11/09/2022] Open
Abstract
Cosurface electrode architectures are able to deliver personalized electric stimuli to target tissues. As such, this technology holds potential for a variety of innovative biomedical devices. However, to date, no detailed analyses have been conducted to evaluate the impact of stimulator architecture and geometry on stimuli features. This work characterizes, for the first time, the electric stimuli delivered to bone cellular tissues during in vitro experiments, when using three capacitive architectures: stripped, interdigitated and circular patterns. Computational models are presented that predict the influence of cell confluence, cosurface architecture, electrodes geometry, gap size between electrodes and power excitation on the stimuli delivered to cellular layers. The results demonstrate that these stimulators are able to deliver osteoconductive stimuli. Significant differences in stimuli distributions were observed for different stimulator designs and different external excitations. The thickness specification was found to be of utmost importance. In vitro experiments using an osteoblastic cell line highlight that cosurface stimulation at a low frequency can enhance osteoconductive responses, with some electrode-specific differences being found. A major feature of this type of work is that it enables future detailed analyses of stimuli distribution throughout more complex biological structures, such as tissues and organs, towards sophisticated biodevice personalization.
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Affiliation(s)
- Marco P Soares Dos Santos
- Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal.
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
- Associated Laboratory for Energy, Transports and Aeronautics (LAETA), Porto, Portugal.
| | - J Coutinho
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - Ana Marote
- Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Bárbara Sousa
- Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - A Ramos
- Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - Jorge A F Ferreira
- Centre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - Rodrigo Bernardo
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - André Rodrigues
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - A Torres Marques
- Associated Laboratory for Energy, Transports and Aeronautics (LAETA), Porto, Portugal
- Mechanical Engineering Department, University of Porto, 4200-465, Porto, Portugal
| | - Odete A B da Cruz E Silva
- Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Edward P Furlani
- Department of Chemical and Biological Engineering, Department of Electrical Engineering, University at Buffalo, SUNY, Buffalo, NY, USA
| | - José A O Simões
- Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
| | - Sandra I Vieira
- Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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Safaei M, Meneghini RM, Anton SR. Parametric analysis of electromechanical and fatigue performance of total knee replacement bearing with embedded piezoelectric transducers. SMART MATERIALS & STRUCTURES 2017; 26:094002. [PMID: 29225424 PMCID: PMC5718211 DOI: 10.1088/1361-665x/aa814e] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Total knee arthroplasty (TKA) is a common procedure in the United States; it has been estimated that about 4 million people are currently living with primary knee replacement in this country. Despite huge improvements in material properties, implant design, and surgical techniques, some implants fail a few years after surgery. A lack of information about in vivo kinetics of the knee prevents the establishment of a correlated intra- and postoperative loading pattern in knee implants. In this study, a conceptual design of an ultra high molecular weight (UHMW) knee bearing with embedded piezoelectric transducers is proposed, which is able to measure the reaction forces from knee motion as well as harvest energy to power embedded electronics. A simplified geometry consisting of a disk of UHMW with a single embedded piezoelectric ceramic is used in this work to study the general parametric trends of an instrumented knee bearing. A combined finite element and electromechanical modeling framework is employed to investigate the fatigue behavior of the instrumented bearing and the electromechanical performance of the embedded piezoelectric. The model is validated through experimental testing and utilized for further parametric studies. Parametric studies consist of the investigation of the effects of several dimensional and piezoelectric material parameters on the durability of the bearing and electrical output of the transducers. Among all the parameters, it is shown that adding large fillet radii results in noticeable improvement in the fatigue life of the bearing. Additionally, the design is highly sensitive to the depth of piezoelectric pocket. Finally, using PZT-5H piezoceramics, higher voltage and slightly enhanced fatigue life is achieved.
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Affiliation(s)
- Mohsen Safaei
- Department of Mechanical Engineering, Tennessee Technological University, Cookeville, TN 38505 USA
| | - R Michael Meneghini
- Department of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Steven R Anton
- Department of Mechanical Engineering, Tennessee Technological University, Cookeville, TN 38505 USA
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New cosurface capacitive stimulators for the development of active osseointegrative implantable devices. Sci Rep 2016; 6:30231. [PMID: 27456818 PMCID: PMC4960616 DOI: 10.1038/srep30231] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Accepted: 06/28/2016] [Indexed: 12/12/2022] Open
Abstract
Non-drug strategies based on biophysical stimulation have been emphasized for the treatment and prevention of musculoskeletal conditions. However, to date, an effective stimulation system for intracorporeal therapies has not been proposed. This is particularly true for active intramedullary implants that aim to optimize osseointegration. The increasing demand for these implants, particularly for hip and knee replacements, has driven the design of innovative stimulation systems that are effective in bone-implant integration. In this paper, a new cosurface-based capacitive system concept is proposed for the design of implantable devices that deliver controllable and personalized electric field stimuli to target tissues. A prototype architecture of this system was constructed for in vitro tests, and its ability to deliver controllable stimuli was numerically analyzed. Successful results were obtained for osteoblastic proliferation and differentiation in the in vitro tests. This work provides, for the first time, a design of a stimulation system that can be embedded in active implantable devices for controllable bone-implant integration and regeneration. The proposed cosurface design holds potential for the implementation of novel and innovative personalized stimulatory therapies based on the delivery of electric fields to bone cells.
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