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Lubel E, Rohlen R, Sgambato BG, Barsakcioglu DY, Ibanez J, Tang MX, Farina D. Accurate Identification of Motoneuron Discharges From Ultrasound Images Across the Full Muscle Cross-Section. IEEE Trans Biomed Eng 2024; 71:1466-1477. [PMID: 38055363 DOI: 10.1109/tbme.2023.3340019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
OBJECTIVE Non-invasive identification of motoneuron (MN) activity commonly uses electromyography (EMG). However, surface EMG (sEMG) detects only superficial sources, at less than approximately 10-mm depth. Intramuscular EMG can detect deep sources, but it is limited to sources within a few mm of the detection site. Conversely, ultrasound (US) images have high spatial resolution across the whole muscle cross-section. The activity of MNs can be extracted from US images due to the movements that MN activation generates in the innervated muscle fibers. Current US-based decomposition methods can accurately identify the location and average twitch induced by MN activity. However, they cannot accurately detect MN discharge times. METHODS Here, we present a method based on the convolutive blind source separation of US images to estimate MN discharge times with high accuracy. The method was validated across Ten participants using concomitant sEMG decomposition as the ground truth. RESULTS 140 unique MN spike trains were identified from US images, with a rate of agreement (RoA) with sEMG decomposition of 87.4 ± 10.3%. Over 50% of these MN spike trains had a RoA greater than 90%. Furthermore, with US, we identified additional MUs well beyond the sEMG detection volume, at up to >30 mm below the skin. CONCLUSION The proposed method can identify discharges of MNs innervating muscle fibers in a large range of depths within the muscle from US images. SIGNIFICANCE The proposed methodology can non-invasively interface with the outer layers of the central nervous system innervating muscles across the full cross-section.
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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.
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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
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de Oliveira J, de Souza MA, Assef AA, Maia JM. Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:9232. [PMID: 36501933 PMCID: PMC9740760 DOI: 10.3390/s22239232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/22/2022] [Accepted: 10/27/2022] [Indexed: 06/17/2023]
Abstract
The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combined traditional techniques to quantify information about the muscle condition that is correlated to neuromuscular electrical activation and the generation of muscle force and vibration has grown. The purpose of this review is to guide the reader to relevant works in different applications of ultrasound imaging in combination with other techniques for the characterization of biological signals. Several research groups have been using multi-sensing systems to carry out specific studies in the health area. We can divide these studies into two categories: human-machine interface (HMI), in which sensors are used to capture critical information to control computerized prostheses and/or robotic actuators, and physiological study, where sensors are used to investigate a hypothesis and/or a clinical diagnosis. In addition, the relevance, challenges, and expectations for future work are discussed.
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Affiliation(s)
- Jonathan de Oliveira
- Graduate Program in Health Technology (PPGTS), Pontifical Catholic University of Paraná, Curitiba 80215-901, Brazil
| | - Mauren Abreu de Souza
- Graduate Program in Health Technology (PPGTS), Pontifical Catholic University of Paraná, Curitiba 80215-901, Brazil
| | - Amauri Amorin Assef
- Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil
| | - Joaquim Miguel Maia
- Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil
- Electronics Engineering Department (DAELN), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil
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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.
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Lyu PZ, Zhu RTL, Ling YT, Wang LK, Zheng YP, Ma CZH. How Paretic and Non-Paretic Ankle Muscles Contract during Walking in Stroke Survivors: New Insight Using Novel Wearable Ultrasound Imaging and Sensing Technology. BIOSENSORS 2022; 12:bios12050349. [PMID: 35624650 PMCID: PMC9138866 DOI: 10.3390/bios12050349] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 05/11/2023]
Abstract
Abnormal muscle tone and muscle weakness are related to gait asymmetry in stroke survivors. However, the internal muscle morphological changes that occur during walking remain unclear. To address this issue, this study investigated the muscle activity of the tibialis anterior (TA) and medial gastrocnemius (MG) of both the paretic and non-paretic sides during walking in nine stroke survivors, by simultaneously capturing electromyography (EMG), mechanomyography (MMG), and ultrasound images, and using a validated novel wearable ultrasound imaging and sensing system. Statistical analysis was performed to examine the test−retest reliability of the collected data, and both the main and interaction effects of each “side” (paretic vs. non-paretic) and “gait” factors, in stroke survivors. This study observed significantly good test−retest reliability in the collected data (0.794 ≤ ICC ≤ 0.985), and significant differences existed in both the side and gait factors of the average TA muscle thickness from ultrasound images, and in the gait factors of TA and MG muscle’s MMG and EMG signals (p < 0.05). The muscle morphological characteristics also appeared to be different between the paretic and non-paretic sides on ultrasound images. This study uncovered significantly different internal muscle contraction patterns between paretic and non-paretic sides during walking for TA (7.2% ± 1.6%) and MG (5.3% ± 4.9%) muscles in stroke survivors.
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Affiliation(s)
- Pei-Zhao Lyu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
| | - Ringo Tang-Long Zhu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
- 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; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
| | - Li-Ke Wang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
| | - Yong-Ping Zheng
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
| | - Christina Zong-Hao Ma
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China; (P.-Z.L.); (R.T.-L.Z.); (Y.T.L.); (L.-K.W.); (Y.-P.Z.)
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China
- Correspondence: ; Tel.: +852-2766-7671
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Yeon SH, Song H, Herr HM. Spatiotemporally Synchronized Surface EMG and Ultrasonography Measurement Using a Flexible and Low-Profile EMG Electrode. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:6242-6246. [PMID: 34892540 DOI: 10.1109/embc46164.2021.9629789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The temporally synchronized recording of muscle activity and fascicle dynamics is essential in understanding the neurophysiology of human motor control which could promote developments of effective rehabilitation strategies and assistive technologies. Surface electromyography (sEMG) and ultrasonography provide easy-to-use, low-cost, and noninvasive modalities to assess muscle activity and fascicle dynamics, and have been widely used in both clinical and lab settings. However, due to size of these sensors and limited skin surface area, it is extremely challenging to collect data from a muscle of interest in a spatially as well as temporally synchronized manner. Here, we introduce a low-cost, noninvasive flexible electrode that provides high quality sEMG recording, while also enabling spatiotemporally synchronized ultrasonography recordings. The proposed method was verified by comparing ultrasonography of a phantom and a tibialis anterior (TA) muscle during dorsiflexion and plantarflexion with and without the electrode acutely placed under an ultrasound probe. Our results show no significant artifact in ultrasonography from both the phantom and TA fascicle strains due to the presence of the electrode, demonstrating the capability of spatiotemporally synchronized sEMG and ultrasonography recording.
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Mapping of Back Muscle Stiffness along Spine during Standing and Lying in Young Adults: A Pilot Study on Spinal Stiffness Quantification with Ultrasound Imaging. SENSORS 2020; 20:s20247317. [PMID: 33352767 PMCID: PMC7766024 DOI: 10.3390/s20247317] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 12/22/2022]
Abstract
Muscle stiffness in the spinal region is essential for maintaining spinal function, and might be related to multiple spinal musculoskeletal disorders. However, information on the distribution of muscle stiffness along the spine in different postures in large subject samples has been lacking, which merits further investigation. This study introduced a new protocol of measuring bilateral back muscle stiffness along the thoracic and lumbar spine (at T3, T7, T11, L1 & L4 levels) with both ultrasound shear-wave elastography (SWE) and tissue ultrasound palpation system (TUPS) in the lying and standing postures of 64 healthy adults. Good inter-/intra-reliability existed in the SWE and TUPS back muscle stiffness measurements (ICC ≥ 0.731, p < 0.05). Back muscle stiffness at the L4 level was found to be the largest in the thoracic and lumbar regions (p < 0.05). The back muscle stiffness of males was significantly larger than that of females in both lying and standing postures (p < 0.03). SWE stiffness was found to be significantly larger in standing posture than lying among subjects (p < 0.001). It is reliable to apply SWE and TUPS to measure back muscle stiffness. The reported data on healthy young adults in this study may also serve as normative reference data for future studies on patients with scoliosis, low back pain, etc.
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