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2
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Rusu DM, Mândru SD, Biriș CM, Petrașcu OL, Morariu F, Ianosi-Andreeva-Dimitrova A. Soft Robotics: A Systematic Review and Bibliometric Analysis. MICROMACHINES 2023; 14:mi14020359. [PMID: 36838059 PMCID: PMC9961507 DOI: 10.3390/mi14020359] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/14/2023] [Accepted: 01/23/2023] [Indexed: 05/14/2023]
Abstract
In recent years, soft robotics has developed considerably, especially since the year 2018 when it became a hot field among current research topics. The attention that this field receives from researchers and the public is marked by the substantial increase in both the quantity and the quality of scientific publications. In this review, in order to create a relevant and comprehensive picture of this field both quantitatively and qualitatively, the paper approaches two directions. The first direction is centered on a bibliometric analysis focused on the period 2008-2022 with the exact expression that best characterizes this field, which is "Soft Robotics", and the data were taken from a series of multidisciplinary databases and a specialized journal. The second direction focuses on the analysis of bibliographic references that were rigorously selected following a clear methodology based on a series of inclusion and exclusion criteria. After the selection of bibliographic sources, 111 papers were part of the final analysis, which have been analyzed in detail considering three different perspectives: one related to the design principle (biologically inspired soft robotics), one related to functionality (closed/open-loop control), and one from a biomedical applications perspective.
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Affiliation(s)
- Dan-Mihai Rusu
- Mechatronics and Machine Dynamics Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
- Correspondence:
| | - Silviu-Dan Mândru
- Mechatronics and Machine Dynamics Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
| | - Cristina-Maria Biriș
- Department of Industrial Machines and Equipment, Engineering Faculty, Lucian Blaga University of Sibiu, Victoriei 10, 550024 Sibiu, Romania
| | - Olivia-Laura Petrașcu
- Department of Industrial Machines and Equipment, Engineering Faculty, Lucian Blaga University of Sibiu, Victoriei 10, 550024 Sibiu, Romania
| | - Fineas Morariu
- Department of Industrial Machines and Equipment, Engineering Faculty, Lucian Blaga University of Sibiu, Victoriei 10, 550024 Sibiu, Romania
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4
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Cheng I, Hamad A, Sasegbon A, Hamdy S. Advances in the Treatment of Dysphagia in Neurological Disorders: A Review of Current Evidence and Future Considerations. Neuropsychiatr Dis Treat 2022; 18:2251-2263. [PMID: 36268265 PMCID: PMC9578488 DOI: 10.2147/ndt.s371624] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/08/2022] [Indexed: 11/19/2022] Open
Abstract
Dysphagia, which refers to difficult and/or disordered swallowing, is a common problem associated with various neurological diseases such as stroke, motor neuron diseases and neurodegenerative diseases. Traditionally, dysphagia treatments are either compensatory, which includes modifications of bolus texture or feeding posture, or rehabilitative, which includes behavioral exercises and sensory stimulation. Despite being widely adopted in clinical practice, recent views have challenged the clinical efficacy of these treatments due to the low level of evidence supported by mainly non-controlled studies. As such, with advancements in technology and scientific research methods, recent times have seen a surge in the development of novel dysphagia treatments and an increasing number of robust randomized controlled clinical trials. In this review, we will review the clinical evidence of several newly introduced treatments for dysphagia in the last two decades, including rehabilitative exercises, biofeedback, pharmacological treatments, neuromodulation treatments and soft robotics. Despite the recent improvements in the quality of evidence for the efficacy of dysphagia treatments, several critical issues, including heterogeneity in treatment regimens, long-term treatment effects, underlying mechanisms of some neuromodulation treatments, and the effects of these techniques in non-stroke dysphagia, remain to be addressed in future clinical trials.
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Affiliation(s)
- Ivy Cheng
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Centre for Gastrointestinal Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Adeel Hamad
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Centre for Gastrointestinal Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Ayodele Sasegbon
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Centre for Gastrointestinal Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Shaheen Hamdy
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Centre for Gastrointestinal Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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5
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Rosalia L, Ozturk C, Coll-Font J, Fan Y, Nagata Y, Singh M, Goswami D, Mauskapf A, Chen S, Eder RA, Goffer EM, Kim JH, Yurista S, Bonner BP, Foster AN, Levine RA, Edelman ER, Panagia M, Guerrero JL, Roche ET, Nguyen CT. A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis. Nat Biomed Eng 2022; 6:1134-1147. [PMID: 36163494 PMCID: PMC9588718 DOI: 10.1038/s41551-022-00937-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/12/2022] [Indexed: 12/14/2022]
Abstract
Preclinical models of aortic stenosis can induce left ventricular pressure overload and coarsely control the severity of aortic constriction. However, they do not recapitulate the haemodynamics and flow patterns associated with the disease. Here we report the development of a customizable soft robotic aortic sleeve that can mimic the haemodynamics and biomechanics of aortic stenosis. By allowing for the adjustment of actuation patterns and blood-flow dynamics, the robotic sleeve recapitulates clinically relevant haemodynamics in a porcine model of aortic stenosis, as we show via in vivo echocardiography and catheterization studies, and a combination of in vitro and computational analyses. Using in vivo and in vitro magnetic resonance imaging, we also quantified the four-dimensional blood-flow velocity profiles associated with the disease and with bicommissural and unicommissural defects re-created by the robotic sleeve. The design of the sleeve, which can be adjusted on the basis of computed tomography data, allows for the design of patient-specific devices that may guide clinical decisions and improve the management and treatment of patients with aortic stenosis.
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Affiliation(s)
- Luca Rosalia
- Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA,Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Caglar Ozturk
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA
| | - Jaume Coll-Font
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Yiling Fan
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA,Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA,Department of Mechanical Engineering, Massachusetts Institute of Technology, 33 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Yasufumi Nagata
- Cardiac Ultrasound Laboratory, Massachusetts General Hospital, 55 Fruit Boston, MA 02114, USA,Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Manisha Singh
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA
| | - Debkalpa Goswami
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA
| | - Adam Mauskapf
- Corrigan Minehan Heart Center, Massachusetts General Hospital, Boston, 55 Fruit Boston, MA 02114, USA
| | - Shi Chen
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Robert A. Eder
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Efrat M. Goffer
- Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA
| | - Jo H. Kim
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Salva Yurista
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Benjamin P. Bonner
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Anna N. Foster
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA
| | - Robert A. Levine
- Cardiac Ultrasound Laboratory, Massachusetts General Hospital, 55 Fruit Boston, MA 02114, USA,Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Elazer R. Edelman
- Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA,Brigham and Women’s Hospital, Cardiovascular Division, 75 Francis Street, Boston, MA 02115, USA
| | - Marcello Panagia
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,Cardiovascular Medicine Section, Department of Medicine, Boston University Medical Center, 715 Albany Street, Boston, MA 02118, USA
| | - Jose L. Guerrero
- Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA
| | - Ellen T. Roche
- Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA 02139, USA,Department of Mechanical Engineering, Massachusetts Institute of Technology, 33 Massachusetts Avenue, Cambridge, MA 02139, USA,Correspondence and requests for materials should be addressed to ;
| | - Christopher T. Nguyen
- Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA,Cardiovascular Research Center, Massachusetts General Hospital, 149 13th Street, Charlestown, MA 02129, USA,A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street Charlestown, MA 02129, USA,Department of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA,Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195, USA,Correspondence and requests for materials should be addressed to ;
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8
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Hashem R, Kazemi S, Stommel M, Cheng LK, Xu W. A Biologically Inspired Ring-Shaped Soft Pneumatic Actuator for Large Deformations. Soft Robot 2021; 9:807-819. [PMID: 34704835 DOI: 10.1089/soro.2021.0013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Biomimicry of the stomach's peristaltic contractions can be challenging in the design, modeling, and control of a soft actuator. The mimicking of organ contractions advances our knowledge of the digestive system and analyzes the biological behavior by testing with a physical robot. This article proposes a ring-shaped soft pneumatic actuator (RiSPA) as a segment of the digestive tract. RiSPA is made of a ring frame with embedded bellow actuators that generate contractive motions. An embedded sensory system measures the contraction using range sensors. The kinematics and dynamics of RiSPA's contraction are modeled and simulated, while a state feedback algorithm is applied to them. The simulation results are validated experimentally by comparing the RiSPA measurements with desired applied signals. The proposed actuator provides controllable symmetrical and asymmetrical contractions analog to the human stomach. The results of RiSPA validate the prediction performance of the simulation and controller with applied sinusoidal signals as a peristaltic wave. RiSPA contractions can be applied to a broad range of applications, such as imitating the esophagus and intestine contractions.
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Affiliation(s)
- Ryman Hashem
- Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand.,The Medical Technologies Centre of Research Excellence, Auckland, New Zealand
| | - Shahab Kazemi
- Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand.,The Medical Technologies Centre of Research Excellence, Auckland, New Zealand
| | - Martin Stommel
- The Medical Technologies Centre of Research Excellence, Auckland, New Zealand.,Riddet Institute, Palmerston North, New Zealand
| | - Leo K Cheng
- The Medical Technologies Centre of Research Excellence, Auckland, New Zealand.,Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand.,Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Weiliang Xu
- Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand.,The Medical Technologies Centre of Research Excellence, Auckland, New Zealand.,Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand
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