1
|
Ma CZH, Zhu RTL, Huang M, Lee WCC, Yang Y, He C. Editorial: Balance-controlling mechanism and fall-prevention strategy. Front Neurol 2024; 15:1385917. [PMID: 38504798 PMCID: PMC10949366 DOI: 10.3389/fneur.2024.1385917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Affiliation(s)
- Christina Zong-Hao Ma
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Ringo Tang-Long Zhu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Meizhen Huang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Winson Chiu-Chun Lee
- School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, Australia
| | - Yonghong Yang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Chengqi He
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
2
|
Moisan G, Zong-Hao Ma C. Advances in prosthetics and orthotics. BMC Musculoskelet Disord 2024; 25:135. [PMID: 38347514 PMCID: PMC10860223 DOI: 10.1186/s12891-024-07246-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 02/15/2024] Open
Abstract
Over the past years, the field of prosthetics and orthotics has seen incredible innovations that used to be perceived as science fiction. This editorial aims to shed light on such exciting developments, exploring how they are addressing the challenges faced by individuals with limb impairments and musculoskeletal conditions.
Collapse
Affiliation(s)
- Gabriel Moisan
- Department of Human Kinetics, University du Québec à Trois-Rivières, 3351 Boulevard des Forges, Trois-Rivières, Québec, G8Z 4M3, Canada.
- Research Group on Neuromusculoskeletal Affections (GRAN), Trois-Rivières, G9A5H7, Canada.
| | | |
Collapse
|
3
|
Tong CY, Zhu RTL, Ling YT, Scheeren EM, Lam FMH, Fu H, Ma CZH. Muscular and Kinematic Responses to Unexpected Translational Balance Perturbation: A Pilot Study in Healthy Young Adults. Bioengineering (Basel) 2023; 10:831. [PMID: 37508858 PMCID: PMC10376184 DOI: 10.3390/bioengineering10070831] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
Falls and fall-related injuries are significant public health problems in older adults. While balance-controlling strategies have been extensively researched, there is still a lack of understanding regarding how fast the lower-limb muscles contract and coordinate in response to a sudden loss of standing balance. Therefore, this pilot study aims to investigate the speed and timing patterns of multiple joint/muscles' activities among the different challenges in standing balance. Twelve healthy young subjects were recruited, and they received unexpected translational balance perturbations with randomized intensities and directions. Electromyographical (EMG) and mechanomyographical (MMG) signals of eight dominant-leg's muscles, dominant-leg's three-dimensional (3D) hip/knee/ankle joint angles, and 3D postural sways were concurrently collected. Two-way ANOVAs were used to examine the difference in timing and speed of the collected signals among muscles/joint motions and among perturbation intensities. This study has found that (1) agonist muscles resisting the induced postural sway tended to activate more rapidly than the antagonist muscles, and ankle muscles contributed the most with the fastest rate of response; (2) voluntary corrective lower-limb joint motions and postural sways could occur as early as the perturbation-induced passive ones; (3) muscles reacted more rapidly under a larger perturbation intensity, while the joint motions or postural sways did not. These findings expand the current knowledge on standing-balance-controlling mechanisms and may potentially provide more insights for developing future fall-prevention strategies in daily life.
Collapse
Affiliation(s)
- Cheuk Ying Tong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Ringo Tang-Long Zhu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Yan To Ling
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Centre for Developmental Neurobiology, King's College London, London SE1 1UL, UK
| | - Eduardo Mendonça Scheeren
- Graduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba 80215-901, Brazil
| | - Freddy Man Hin Lam
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Hong Fu
- Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR 999077, China
| | - Christina Zong-Hao Ma
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| |
Collapse
|
4
|
Ma CZH, Li Z, He C. Advances in Biomechanics-Based Motion Analysis. Bioengineering (Basel) 2023; 10:677. [PMID: 37370608 DOI: 10.3390/bioengineering10060677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 05/24/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Motion patterns in humans have been closely associated with neurological/musculoskeletal/behavioral/psychological health issues and competitive sports performance [...].
Collapse
Affiliation(s)
- Christina Zong-Hao Ma
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Zhengrong Li
- School of Mechanical Engineering, Tongji University, Shanghai 200082, China
| | - Chen He
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China
| |
Collapse
|
5
|
Zheng Z, Wu Z, Zhao R, Ni Y, Jing X, Gao S. A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications. BIOSENSORS 2022; 12:bios12070516. [PMID: 35884319 PMCID: PMC9313012 DOI: 10.3390/bios12070516] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/06/2022] [Accepted: 07/09/2022] [Indexed: 11/23/2022]
Abstract
Wearables developed for human body signal detection receive increasing attention in the current decade. Compared to implantable sensors, wearables are more focused on body motion detection, which can support human–machine interaction (HMI) and biomedical applications. In wearables, electromyography (EMG)-, force myography (FMG)-, and electrical impedance tomography (EIT)-based body information monitoring technologies are broadly presented. In the literature, all of them have been adopted for many similar application scenarios, which easily confuses researchers when they start to explore the area. Hence, in this article, we review the three technologies in detail, from basics including working principles, device architectures, interpretation algorithms, application examples, merits and drawbacks, to state-of-the-art works, challenges remaining to be solved and the outlook of the field. We believe the content in this paper could help readers create a whole image of designing and applying the three technologies in relevant scenarios.
Collapse
Affiliation(s)
| | | | | | | | | | - Shuo Gao
- Correspondence: ; Tel.: +86-18600737330
| |
Collapse
|
6
|
How Does Lower Limb Respond to Unexpected Balance Perturbations? New Insights from Synchronized Human Kinetics, Kinematics, Muscle Electromyography (EMG) and Mechanomyography (MMG) Data. BIOSENSORS 2022; 12:bios12060430. [PMID: 35735577 PMCID: PMC9220852 DOI: 10.3390/bios12060430] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/10/2022] [Accepted: 06/16/2022] [Indexed: 11/16/2022]
Abstract
Making rapid and proper compensatory postural adjustments is vital to prevent falls and fall-related injuries. This study aimed to investigate how, especially how rapidly, the multiple lower-limb muscles and joints would respond to the unexpected standing balance perturbations. Unexpected waist-pull perturbations with small, medium and large magnitudes were delivered to twelve healthy young adults from the anterior, posterior, medial and lateral directions. Electromyographical (EMG) and mechanomyographical (MMG) responses of eight dominant-leg muscles (i.e., hip abductor/adductors, hip flexor/extensor, knee flexor/extensor, and ankle dorsiflexor/plantarflexors) together with the lower-limb joint angle, moment, and power data were recorded. The onset latencies, time to peak, peak values, and/or rate of change of these signals were analyzed. Statistical analysis revealed that: (1) agonist muscles resisting the delivered perturbation had faster activation than the antagonist muscles; (2) ankle muscles showed the largest rate of activation among eight muscles following both anteroposterior and mediolateral perturbations; (3) lower-limb joint moments that complied with the perturbation had faster increase; and (4) larger perturbation magnitude tended to evoke a faster response in muscle activities, but not necessarily in joint kinetics/kinematics. These findings provided insights regarding the underlying mechanism and lower-limb muscle activities to maintain reactive standing balance in healthy young adults.
Collapse
|