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Yan Y, Sun T, Ren T, Ding L. Enhanced grip force estimation in robotic surgery: A sparrow search algorithm-optimized backpropagation neural network approach. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:3519-3539. [PMID: 38549294 DOI: 10.3934/mbe.2024155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The absence of an effective gripping force feedback mechanism in minimally invasive surgical robot systems impedes physicians' ability to accurately perceive the force between surgical instruments and human tissues during surgery, thereby increasing surgical risks. To address the challenge of integrating force sensors on minimally invasive surgical tools in existing systems, a clamping force prediction method based on mechanical clamp blade motion parameters is proposed. The interrelation between clamping force, displacement, compression speed, and the contact area of the clamp blade indenter was analyzed through compression experiments conducted on isolated pig kidney tissue. Subsequently, a prediction model was developed using a backpropagation (BP) neural network optimized by the Sparrow Search Algorithm (SSA). This model enables real-time prediction of clamping force, facilitating more accurate estimation of forces between instruments and tissues during surgery. The results indicate that the SSA-optimized model outperforms traditional BP networks and genetic algorithm-optimized (GA) BP models in terms of both accuracy and convergence speed. This study not only provides technical support for enhancing surgical safety and efficiency, but also offers a novel research direction for the design of force feedback systems in minimally invasive surgical robots in the future.
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Affiliation(s)
- Yongli Yan
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100083, China
| | - Tiansheng Sun
- The Fourth Medical Center of China General Hospital of People's Liberation Army, Beijing 100700, China
| | - Teng Ren
- School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, China
| | - Li Ding
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100083, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
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2
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Harper DJ, Kim Y, Gómez-Ramírez A, Vakoc BJ. Needle guidance with Doppler-tracked polarization-sensitive optical coherence tomography. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:102910. [PMID: 37799938 PMCID: PMC10548115 DOI: 10.1117/1.jbo.28.10.102910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/25/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023]
Abstract
Significance Optical coherence tomography (OCT) can be integrated into needle probes to provide real-time navigational guidance. However, unscanned implementations, which are the simplest to build, often struggle to discriminate the relevant tissues. Aim We explore the use of polarization-sensitive (PS) methods as a means to enhance signal interpretability within unscanned coherence tomography probes. Approach Broadband light from a laser centered at 1310 nm was sent through a fiber that was embedded into a needle. The polarization signal from OCT fringes was combined with Doppler-based tracking to create visualizations of the birefringence properties of the tissue. Experiments were performed in (i) well-understood structured tissues (salmon and shrimp) and (ii) ex vivo porcine spine. The porcine experiments were selected to illustrate an epidural guidance use case. Results In the porcine spine, unscanned and Doppler-tracked PS OCT imaging data successfully identified the skin, subcutaneous tissue, ligament, and epidural spaces during needle insertion. Conclusions PS imaging within a needle probe improves signal interpretability relative to structural OCT methods and may advance the clinical utility of unscanned OCT needle probes in a variety of applications.
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Affiliation(s)
- Danielle J. Harper
- Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
| | - Yongjoo Kim
- Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
| | - Alejandra Gómez-Ramírez
- Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts, United States
- Universidad Nacional de Colombia sede Medellín, School of Physics, Medellín, Colombia
| | - Benjamin J. Vakoc
- Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts, United States
- Harvard Medical School, Boston, Massachusetts, United States
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts, United States
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3
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Althobaiti M, Ali S, Hariri NG, Hameed K, Alagl Y, Alzahrani N, Alzahrani S, Al-Naib I. Recent Advances in Smart Epidural Spinal Needles. SENSORS (BASEL, SWITZERLAND) 2023; 23:6065. [PMID: 37447917 DOI: 10.3390/s23136065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/20/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023]
Abstract
Lumbar puncture is a minimally invasive procedure that utilizes a spinal needle to puncture the lumbar epidural space to take a sample from the cerebrospinal fluid or inject drugs for diagnostic and therapeutic purposes. Physicians rely on their expertise to localize epidural space. Due to its critical procedure, the failure rate can reach up to 28%. Hence, a high level of experience and caution is required to correctly insert the needle without puncturing the dura mater, which is a fibrous layer protecting the spinal cord. Failure of spinal anesthesia is, in some cases, related to faulty needle placement techniques since it is blindly inserted. Therefore, advanced techniques for localization of the epidural space are essential to avoid any possible side effects. As for epidural space localization, various ideas were carried out over recent years to provide accurate identification of the epidural space. Subsequently, several methodologies based on mechanical and optical schemes have been proposed. Several research groups worked from different aspects of the problem, namely, the clinical and engineering sides. Hence, the main goal of this paper is to review this research with the aim of remedying the gap between the clinical side of the problem and the engineering side by examining the main techniques in building sensors for such purposes. This manuscript provides an understanding of the clinical needs of spinal needles from an anatomical point of view. Most importantly, it discusses the mechanical and optical approaches in designing and building sensors to guide spinal needles. Finally, the standards that must be followed in building smart spinal needles for approval procedures are also presented, along with some insight into future directions.
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Affiliation(s)
- Murad Althobaiti
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Sajid Ali
- Department of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Nasir G Hariri
- Department of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Kamran Hameed
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Yara Alagl
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Najwa Alzahrani
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Sara Alzahrani
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Ibraheem Al-Naib
- Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
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4
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Burcham HW, Ogunkua OT. Unintentional dural puncture: Looking into the future. J Clin Anesth 2023; 85:111031. [PMID: 36459803 DOI: 10.1016/j.jclinane.2022.111031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/04/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Hannah W Burcham
- Department of Anesthesiology and Pain Management, University of Texas at Southwestern Medical Center, Dallas, TX, United States of America.
| | - Olutoyosi T Ogunkua
- Department of Anesthesiology and Pain Management, University of Texas at Southwestern Medical Center, Dallas, TX, United States of America
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5
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Breglio G, Bernini R, Berruti GM, Bruno FA, Buontempo S, Campopiano S, Catalano E, Consales M, Coscetta A, Cutolo A, Cutolo MA, Di Palma P, Esposito F, Fienga F, Giordano M, Iele A, Iadicicco A, Irace A, Janneh M, Laudati A, Leone M, Maresca L, Marrazzo VR, Minardo A, Pisco M, Quero G, Riccio M, Srivastava A, Vaiano P, Zeni L, Cusano A. Innovative Photonic Sensors for Safety and Security, Part III: Environment, Agriculture and Soil Monitoring. SENSORS (BASEL, SWITZERLAND) 2023; 23:3187. [PMID: 36991894 PMCID: PMC10053851 DOI: 10.3390/s23063187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/05/2023] [Accepted: 03/10/2023] [Indexed: 06/19/2023]
Abstract
In order to complete this set of three companion papers, in this last, we focus our attention on environmental monitoring by taking advantage of photonic technologies. After reporting on some configurations useful for high precision agriculture, we explore the problems connected with soil water content measurement and landslide early warning. Then, we concentrate on a new generation of seismic sensors useful in both terrestrial and under water contests. Finally, we discuss a number of optical fiber sensors for use in radiation environments.
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Affiliation(s)
- Giovanni Breglio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
| | - Romeo Bernini
- Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Consiglio Nazionale delle Ricerche, Via Diocleziano 328, 81024 Napoli, Italy
| | - Gaia Maria Berruti
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Francesco Antonio Bruno
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Salvatore Buontempo
- European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
- National Institute for Nuclear Physics (INFN), 80125 Napoli, Italy
| | - Stefania Campopiano
- Dipartimento di Ingegneria, Università Degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Ester Catalano
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Marco Consales
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Agnese Coscetta
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Antonello Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Maria Alessandra Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Pasquale Di Palma
- Dipartimento di Ingegneria, Università Degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Flavio Esposito
- Dipartimento di Ingegneria, Università Degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Francesco Fienga
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
| | - Michele Giordano
- Istituto per i Polimeri, Compositi e Biomateriali Consiglio Nazionale delle Ricerche, Via Enrico Fermi 1, 80055 Portici, Italy
| | - Antonio Iele
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | - Agostino Iadicicco
- Dipartimento di Ingegneria, Università Degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Andrea Irace
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Mohammed Janneh
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | | | - Marco Leone
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Luca Maresca
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Vincenzo Romano Marrazzo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
| | - Aldo Minardo
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Marco Pisco
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Giuseppe Quero
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Michele Riccio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Anubhav Srivastava
- Dipartimento di Ingegneria, Università Degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Patrizio Vaiano
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
| | - Luigi Zeni
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Andrea Cusano
- Gruppo di Optoelettronica e Fotonica, Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, 82100 Benevento, Italy
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6
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Minardo A, Bernini R, Berruti GM, Breglio G, Bruno FA, Buontempo S, Campopiano S, Catalano E, Consales M, Coscetta A, Cusano A, Cutolo MA, Di Palma P, Esposito F, Fienga F, Giordano M, Iele A, Iadicicco A, Irace A, Janneh M, Laudati A, Leone M, Maresca L, Marrazzo VR, Pisco M, Quero G, Riccio M, Srivastava A, Vaiano P, Zeni L, Cutolo A. Innovative Photonic Sensors for Safety and Security, Part I: Fundamentals, Infrastructural and Ground Transportations. SENSORS (BASEL, SWITZERLAND) 2023; 23:2558. [PMID: 36904762 PMCID: PMC10007142 DOI: 10.3390/s23052558] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/14/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Our group, involving researchers from different universities in Campania, Italy, has been working for the last twenty years in the field of photonic sensors for safety and security in healthcare, industrial and environment applications. This is the first in a series of three companion papers. In this paper, we introduce the main concepts of the technologies employed for the realization of our photonic sensors. Then, we review our main results concerning the innovative applications for infrastructural and transportation monitoring.
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Affiliation(s)
- Aldo Minardo
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Romeo Bernini
- Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Consiglio Nazionale delle Ricerche, Via Diocleziano 328, 81024 Napoli, Italy
| | - Gaia Maria Berruti
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Giovanni Breglio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Francesco Antonio Bruno
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Salvatore Buontempo
- National Institute for Nuclear Physics (INFN), 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), CH-1211 Geneva, Switzerland
| | - Stefania Campopiano
- Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Ester Catalano
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Marco Consales
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Agnese Coscetta
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Andrea Cusano
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Maria Alessandra Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Pasquale Di Palma
- Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Flavio Esposito
- Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Francesco Fienga
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Michele Giordano
- Istituto per i Polimeri, Compositi e Biomateriali Consiglio Nazionale delle Ricerche via Enrico Fermi 1, 80055 Portici, Italy
| | - Antonio Iele
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | - Agostino Iadicicco
- Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Andrea Irace
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Mohammed Janneh
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | | | - Marco Leone
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Luca Maresca
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Vincenzo Romano Marrazzo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Marco Pisco
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Giuseppe Quero
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Michele Riccio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Anubhav Srivastava
- Dipartimento di Ingegneria, Università degli Studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Patrizio Vaiano
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi 107, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Luigi Zeni
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Antonello Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
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7
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Cutolo A, Bernini R, Berruti GM, Breglio G, Bruno FA, Buontempo S, Catalano E, Consales M, Coscetta A, Cusano A, Cutolo MA, Di Palma P, Esposito F, Fienga F, Giordano M, Iele A, Iadicicco A, Irace A, Janneh M, Laudati A, Leone M, Maresca L, Marrazzo VR, Minardo A, Pisco M, Quero G, Riccio M, Srivastava A, Vaiano P, Zeni L, Campopiano S. Innovative Photonic Sensors for Safety and Security, Part II: Aerospace and Submarine Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:2417. [PMID: 36904622 PMCID: PMC10007474 DOI: 10.3390/s23052417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/08/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
The employability of photonics technology in the modern era's highly demanding and sophisticated domain of aerospace and submarines has been an appealing challenge for the scientific communities. In this paper, we review our main results achieved so far on the use of optical fiber sensors for safety and security in innovative aerospace and submarine applications. In particular, recent results of in-field applications of optical fiber sensors in aircraft monitoring, from a weight and balance analysis to vehicle Structural Health Monitoring (SHM) and Landing Gear (LG) monitoring, are presented and discussed. Moreover, underwater fiber-optic hydrophones are presented from the design to marine application.
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Affiliation(s)
- Antonello Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Romeo Bernini
- Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Consiglio Nazionale delle Ricerche, Via Diocleziano 328, 81024 Napoli, Italy
| | - Gaia Maria Berruti
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Giovanni Breglio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), CH-1211 Geneva, Switzerland
| | - Francesco Antonio Bruno
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Salvatore Buontempo
- European Organization for Nuclear Research (CERN), CH-1211 Geneva, Switzerland
- National Institute for Nuclear Physics (INFN), 80125 Napoli, Italy
| | - Ester Catalano
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Marco Consales
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Agnese Coscetta
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Andrea Cusano
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Maria Alessandra Cutolo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Pasquale Di Palma
- Dipartimento di Ingegneria, Università degli studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Flavio Esposito
- Dipartimento di Ingegneria, Università degli studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Francesco Fienga
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), CH-1211 Geneva, Switzerland
| | - Michele Giordano
- Istituto per i Polimeri, Compositi e Biomateriali Consiglio Nazionale delle Ricerche Via Enrico Fermi 1, 80055 Portici, Italy
| | - Antonio Iele
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | - Agostino Iadicicco
- Dipartimento di Ingegneria, Università degli studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Andrea Irace
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Mohammed Janneh
- CERICT SCARL, CNOS Center, Viale Traiano, Palazzo ex Poste, 82100 Benevento, Italy
| | | | - Marco Leone
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Luca Maresca
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Vincenzo Romano Marrazzo
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
- European Organization for Nuclear Research (CERN), CH-1211 Geneva, Switzerland
| | - Aldo Minardo
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
| | - Marco Pisco
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Giuseppe Quero
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Michele Riccio
- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università degli studi di Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
| | - Anubhav Srivastava
- Dipartimento di Ingegneria, Università degli studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
| | - Patrizio Vaiano
- Dipartimento di Ingegneria, Università degli Studi del Sannio, Corso Garibaldi, Palazzo Bosco Lucarelli, 82100 Benevento, Italy
| | - Luigi Zeni
- Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
- Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy
| | - Stefania Campopiano
- Dipartimento di Ingegneria, Università degli studi di Napoli Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy
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8
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De Tommasi F, Romano C, Lo Presti D, Massaroni C, Carassiti M, Schena E. FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment. BIOSENSORS 2022; 12:bios12080645. [PMID: 36005041 PMCID: PMC9405758 DOI: 10.3390/bios12080645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/04/2022] [Accepted: 08/14/2022] [Indexed: 12/04/2022]
Abstract
Fiber Bragg grating sensors (FBGs) are considered a valid sensing solution for a variety of medical applications. The last decade witnessed the exploitation of these sensors in applications ranging from minimally invasive surgery to biomechanics and monitoring physiological parameters. Recently, preliminary studies investigated the potential impact of FBGs in the management of epidural procedures by detecting when the needle reaches the epidural space with the loss of resistance (LOR) technique. In this article, we propose a soft and flexible FBG-based system capable of detecting the LOR, we optimized the solution by considering different designs and materials, and we assessed the feasibility of the optimized soft sensor (SS) in clinical settings. The proposed SS addresses some of the open challenges in the use of a sensing solution during epidural punctures: it has high sensitivity, it is non-invasive, the sensing element does not need to be inserted within the needle, and the clinician can follow the standard clinical practice. Our analysis highlights how the material and the design impact the system response, and thus its performance in this scenario. We also demonstrated the system’s feasibility of detecting the LOR during epidural procedures.
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Affiliation(s)
- Francesca De Tommasi
- Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Chiara Romano
- Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Daniela Lo Presti
- Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Carlo Massaroni
- Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Massimiliano Carassiti
- Unit of Anesthesia, Intensive Care and Pain Management, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
| | - Emiliano Schena
- Unit of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Rome, Italy
- Correspondence: ; Tel.: +39-062-2541-9650
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9
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Cutolo A, Carotenuto AR, Cutolo MA, Cutolo A, Giaquinto M, Palumbo S, Cusano A, Fraldi M. Ultrasound waves in tumors via needle irradiation for precise medicine. Sci Rep 2022; 12:6513. [PMID: 35444170 PMCID: PMC9021295 DOI: 10.1038/s41598-022-10407-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/23/2022] [Indexed: 12/18/2022] Open
Abstract
Grounded in the interdisciplinary crosstalk among physics and biological sciences, precision medicine-based diagnosis and treatment strategies have recently gained great attention for the actual applicability of new engineered approaches in many medical fields, particularly in oncology. Within this framework, the use of ultrasounds employed to attack cancer cells in tumors to induce possible mechanical damage at different scales has received growing attention from scholars and scientists worldwide. With these considerations in mind, on the basis of ad hoc elastodynamic solutions and numerical simulations, we propose a pilot study for in silico modeling of the propagation of ultrasound waves inside tissues, with the aim of selecting proper frequencies and powers to be irradiated locally through a new teragnostic platform based on Lab-on-Fiber technology, baptized as a hospital in the needle and already the object of a patent. It is felt that the outcomes and the related biophysical insights gained from the analyses could pave the way for envisaging new integrated diagnostic and therapeutic approaches that might play a central role in future applications of precise medicine, starting from the growing synergy among physics, engineering and biology.
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Affiliation(s)
- Antonello Cutolo
- Department of Electrical Engineering and Information Technology, University of Napoli ″Federico II″, Napoli, Italy
| | - Angelo Rosario Carotenuto
- Department of Structures for Engineering and Architecture, University of Napoli ″Federico II″, Napoli, Italy
| | - Maria Alessandra Cutolo
- Department of Electrical Engineering and Information Technology, University of Napoli ″Federico II″, Napoli, Italy
| | - Arsenio Cutolo
- Department of Structures for Engineering and Architecture, University of Napoli ″Federico II″, Napoli, Italy
| | - Martino Giaquinto
- Optoelectronics Group, Department of Engineering, University of Sannio, Benevento, Italy
| | - Stefania Palumbo
- Department of Structures for Engineering and Architecture, University of Napoli ″Federico II″, Napoli, Italy
| | - Andrea Cusano
- Optoelectronics Group, Department of Engineering, University of Sannio, Benevento, Italy
| | - Massimiliano Fraldi
- Department of Structures for Engineering and Architecture, University of Napoli ″Federico II″, Napoli, Italy.
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10
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Ochoa M, Algorri JF, Roldán-Varona P, Rodríguez-Cobo L, López-Higuera JM. Recent Advances in Biomedical Photonic Sensors: A Focus on Optical-Fibre-Based Sensing. SENSORS (BASEL, SWITZERLAND) 2021; 21:6469. [PMID: 34640788 PMCID: PMC8513032 DOI: 10.3390/s21196469] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 01/22/2023]
Abstract
In this invited review, we provide an overview of the recent advances in biomedical photonic sensors within the last five years. This review is focused on works using optical-fibre technology, employing diverse optical fibres, sensing techniques, and configurations applied in several medical fields. We identified technical innovations and advancements with increased implementations of optical-fibre sensors, multiparameter sensors, and control systems in real applications. Examples of outstanding optical-fibre sensor performances for physical and biochemical parameters are covered, including diverse sensing strategies and fibre-optical probes for integration into medical instruments such as catheters, needles, or endoscopes.
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Affiliation(s)
- Mario Ochoa
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
| | - José Francisco Algorri
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
| | - Pablo Roldán-Varona
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
- CIBER-bbn, Institute of Health Carlos III, 28029 Madrid, Spain;
| | | | - José Miguel López-Higuera
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
- CIBER-bbn, Institute of Health Carlos III, 28029 Madrid, Spain;
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11
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Iele A, Ricciardi A, Pecorella C, Cirillo A, Ficuciello F, Siciliano B, La Rocca R, Mirone V, Consales M, Cusano A. Miniaturized optical fiber probe for prostate cancer screening. BIOMEDICAL OPTICS EXPRESS 2021; 12:5691-5703. [PMID: 34692209 PMCID: PMC8515973 DOI: 10.1364/boe.430408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 05/17/2023]
Abstract
Tissue elasticity is universally recognized as a diagnostic and prognostic biomarker for prostate cancer. As the first diagnostic test, the digital rectal examination is used since malignancy changes the prostate morphology and affects its mechanical properties. Currently, this examination is performed manually by the physician, with an unsatisfactory positive predictive value of 42%. A more objective and spatially selective technique is expected to provide a better prediction degree and understanding of the disease. To this aim, here we propose a miniaturized probe, based on optical fiber sensor technology, for mechanical characterization of the prostate with sub-millimeter resolution. Specifically, the optical system incorporates a customized Fiber Bragg Grating, judiciously integrated in a metallic cannula and moved by a robotic arm. The probe enables the local measurement of the force upon tissue indentation with a resolution of 0.97 mN. The system has been developed in such a way to be potentially used directly in vivo. Measurements performed on phantom tissues mimicking different stages of the prostatic carcinoma demonstrated the capability of our device to distinguish healthy from diseased zones of the prostate. The study on phantoms has been complemented with preliminary ex vivo experiments on real organs obtained from radical surgeries. Our findings lay the foundation for the development of advanced optical probes that, when integrated inside biopsy needle, are able to perform in vivo direct mechanical measurements with high sensitivity and spatial resolution, opening to new scenarios for early diagnosis and enhanced diagnostic accuracy of prostate cancer.
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Affiliation(s)
- Antonio Iele
- Optoelectronics Group, Engineering Department, University of Sannio, Benevento, I-82100, Italy
| | - Armando Ricciardi
- Optoelectronics Group, Engineering Department, University of Sannio, Benevento, I-82100, Italy
| | - Claudia Pecorella
- PRISMA Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, I-80125, Italy
| | - Andrea Cirillo
- PRISMA Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, I-80125, Italy
| | - Fanny Ficuciello
- PRISMA Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, I-80125, Italy
| | - Bruno Siciliano
- PRISMA Lab, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, I-80125, Italy
| | - Roberto La Rocca
- Department of Neurosciences, Sciences of Reproduction and Odontostomatology, Urology Unit, University of Naples Federico II, Naples, I-80125, Italy
| | - Vincenzo Mirone
- Department of Neurosciences, Sciences of Reproduction and Odontostomatology, Urology Unit, University of Naples Federico II, Naples, I-80125, Italy
| | - Marco Consales
- Optoelectronics Group, Engineering Department, University of Sannio, Benevento, I-82100, Italy
| | - Andrea Cusano
- Optoelectronics Group, Engineering Department, University of Sannio, Benevento, I-82100, Italy
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12
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Soft System Based on Fiber Bragg Grating Sensor for Loss of Resistance Detection during Epidural Procedures: In Silico and In Vivo Assessment. SENSORS 2021; 21:s21165329. [PMID: 34450771 PMCID: PMC8398772 DOI: 10.3390/s21165329] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/04/2021] [Accepted: 08/05/2021] [Indexed: 01/06/2023]
Abstract
Epidural analgesia represents a clinical common practice aiming at pain mitigation. This loco-regional technique is widely used in several applications such as labor, surgery and lower back pain. It involves the injections of anesthetics or analgesics into the epidural space (ES). The ES detection is still demanding and is usually performed by the techniques named loss of resistance (LOR). In this study, we propose a novel soft system (SS) based on one fiber Bragg grating sensor (FBG) embedded in a soft polymeric matrix for LOR detection during the epidural puncture. The SS was designed to allow instrumenting the syringe's plunger without relevant modifications of the anesthetist's sensations during the procedure. After the metrological characterization of the SS, we assessed the capability of this solution in detecting LOR by carrying it out in silico and in clinical settings. For both trials, results revealed the capability of the proposed solutions in detecting the LOR and then in recording the force exerted on the plunger.
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