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Hamzaid NA, Manaf H, Azmi NL, Milosevic M, Spaich EG, Yoshida K, Gorgey AS, Ferrante S. The International Functional Electrical Stimulation Society (IFESS): Highlights from the IFESS conference at Rehabweek 2023. Artif Organs 2024; 48:421-425. [PMID: 38339848 DOI: 10.1111/aor.14720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024]
Abstract
The annual conference of the International Functional Electrical Stimulation Society (IFESS) was held in conjunction with the 7th RehabWeek Congress, from September 24 to 28, 2023 at the Resorts World Convention Centre on Sentosa Island, in Singapore. The Congress was a joint meeting of the International Consortium on Rehabilitation Technology (ICRT) together with 10 other societies in the field of assistive technology and rehabilitation engineering. The conference features comprehensive blend of technical and clinical context of FES, a sustained value the society has offered over many years. The cross- and inter- disciplinary approach of medicine, engineering, and science practiced in the FES community had enabled vibrant interaction, creation, and development of impactful and novel contributions to the field of FES, translating FES directly into highly relevant and sustainable solutions for the users.
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Affiliation(s)
- Nur Azah Hamzaid
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Haidzir Manaf
- Centre for Physiotherapy Study, Faculty of Health Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
| | - Nur Liyana Azmi
- Department of Mechatronics Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | - Matija Milosevic
- The Miami Project to Cure Paralysis, University of Miami, Miami, Florida, USA
- Department of Neurological Surgery, University of Miami, Miami, Florida, USA
- Department of Biomedical Engineering, University of Miami, Miami, Florida, USA
| | - Erika G Spaich
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Ken Yoshida
- Department of Biomedical Engineering, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, USA
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ashraf S Gorgey
- Spinal Cord Injury and Disorders Center, Hunter Holmes McGuire VA Medical Center, Richmond, Virginia, USA
- School of Medicine, Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Simona Ferrante
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy
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Malik H, Idris AS, Toha SF, Mohd Idris I, Daud MF, Azmi NL. A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations. PeerJ Comput Sci 2023; 9:e1364. [PMID: 37346656 PMCID: PMC10280419 DOI: 10.7717/peerj-cs.1364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 04/04/2023] [Indexed: 06/23/2023]
Abstract
Cell culture is undeniably important for multiple scientific applications, including pharmaceuticals, transplants, and cosmetics. However, cell culture involves multiple manual steps, such as regularly analyzing cell images for their health and morphology. Computer scientists have developed algorithms to automate cell imaging analysis, but they are not widely adopted by biologists, especially those lacking an interactive platform. To address the issue, we compile and review existing open-source cell image processing tools that provide interactive interfaces for management and prediction tasks. We highlight the prediction tools that can detect, segment, and track different mammalian cell morphologies across various image modalities and present a comparison of algorithms and unique features of these tools, whether they work locally or in the cloud. This would guide non-experts to determine which is best suited for their purposes and, developers to acknowledge what is worth further expansion. In addition, we provide a general discussion on potential implementations of the tools for a more extensive scope, which guides the reader to not restrict them to prediction tasks only. Finally, we conclude the article by stating new considerations for the development of interactive cell imaging tools and suggesting new directions for future research.
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Affiliation(s)
- Hafizi Malik
- Healthcare Engineering and Rehabilitation Research, Department of Mechatronics Engineering, International Islamic University Malaysia, Gombak, Selangor, Malaysia
| | - Ahmad Syahrin Idris
- Department of Electrical and Electronic Engineering, University of Southampton Malaysia, Iskandar Puteri, Johor, Malaysia
| | - Siti Fauziah Toha
- Healthcare Engineering and Rehabilitation Research, Department of Mechatronics Engineering, International Islamic University Malaysia, Gombak, Selangor, Malaysia
| | - Izyan Mohd Idris
- Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia
| | - Muhammad Fauzi Daud
- Institute of Medical Science Technology, Universiti Kuala Lumpur, Kajang, Selangor, Malaysia
| | - Nur Liyana Azmi
- Healthcare Engineering and Rehabilitation Research, Department of Mechatronics Engineering, International Islamic University Malaysia, Gombak, Selangor, Malaysia
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Ding Z, Azmi NL, Bull AMJ. Validation and Use of a Musculoskeletal Gait Model to Study the Role of Functional Electrical Stimulation. IEEE Trans Biomed Eng 2019; 66:892-897. [DOI: 10.1109/tbme.2018.2865614] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Azmi NL, Ding Z, Xu R, Bull AMJ. Activation of biceps femoris long head reduces tibiofemoral anterior shear force and tibial internal rotation torque in healthy subjects. PLoS One 2018; 13:e0190672. [PMID: 29304102 PMCID: PMC5755889 DOI: 10.1371/journal.pone.0190672] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Accepted: 12/19/2017] [Indexed: 11/29/2022] Open
Abstract
The anterior cruciate ligament (ACL) provides resistance to tibial internal rotation torque and anterior shear at the knee. ACL deficiency results in knee instability. Optimisation of muscle contraction through functional electrical stimulation (FES) offers the prospect of mitigating the destabilising effects of ACL deficiency. The hypothesis of this study is that activation of the biceps femoris long head (BFLH) reduces the tibial internal rotation torque and the anterior shear force at the knee. Gait data of twelve healthy subjects were measured with and without the application of FES and taken as inputs to a computational musculoskeletal model. The model was used to investigate the optimum levels of BFLH activation during FES gait in reducing the anterior shear force to zero. This study found that FES significantly reduced the tibial internal rotation torque at the knee during the stance phase of gait (p = 0.0322) and the computational musculoskeletal modelling revealed that a mean BFLH activation of 20.8% (±8.4%) could reduce the anterior shear force to zero. At the time frame when the anterior shear force was zero, the internal rotation torque was reduced by 0.023 ± 0.0167 Nm/BW, with a mean 188% reduction across subjects (p = 0.0002). In conclusion, activation of the BFLH is able to reduce the tibial internal rotation torque and the anterior shear force at the knee in healthy control subjects. This should be tested on ACL deficient subject to consider its effect in mitigating instability due to ligament deficiency. In future clinical practice, activating the BFLH may be used to protect ACL reconstructions during post-operative rehabilitation, assist with residual instabilities post reconstruction, and reduce the need for ACL reconstruction surgery in some cases.
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Affiliation(s)
- Nur Liyana Azmi
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Ziyun Ding
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Rui Xu
- Department of Biomedical Engineering, Tianjin University, Tianjin, China
| | - Anthony M. J. Bull
- Department of Bioengineering, Imperial College London, London, United Kingdom
- * E-mail:
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