Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98871
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Biomedical Engineering | en_US |
| dc.contributor | Research Institute for Smart Ageing | en_US |
| dc.creator | Zhu, RTL | en_US |
| dc.creator | Lyu, PZ | en_US |
| dc.creator | Li, S | en_US |
| dc.creator | Tong, CY | en_US |
| dc.creator | Ling, YT | en_US |
| dc.creator | Ma, CZH | en_US |
| dc.date.accessioned | 2023-06-01T06:05:18Z | - |
| dc.date.available | 2023-06-01T06:05:18Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/98871 | - |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI AG | en_US |
| dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Zhu RT-L, Lyu P-Z, Li S, Tong CY, Ling YT, Ma CZ-H. 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(6):430 is available at https://doi.org/10.3390/bios12060430. | en_US |
| dc.subject | Balance control | en_US |
| dc.subject | Balance perturbation | en_US |
| dc.subject | Compensatory postural adjustment (CPA) | en_US |
| dc.subject | Electromyography (EMG) | en_US |
| dc.subject | Mechanomyography (MMG) | en_US |
| dc.subject | Onset latency | en_US |
| dc.subject | Reactive balance response | en_US |
| dc.subject | Skeletal muscle | en_US |
| dc.subject | Time to peak | en_US |
| dc.subject | Waist-pulling perturbation | en_US |
| dc.title | How does lower limb respond to unexpected balance perturbations ? New insights from synchronized human kinetics, kinematics, muscle electromyography (EMG) and mechanomyography (MMG) data | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 12 | en_US |
| dc.identifier.issue | 6 | en_US |
| dc.identifier.doi | 10.3390/bios12060430 | en_US |
| dcterms.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. Electromy-ographical (EMG) and mechanomyographical (MMG) responses of eight dominant-leg muscles (i.e., hip abductor/adductors, hip flexor/extensor, knee flexor/extensor, and ankle dorsi-flexor/plantarflexors) together with the lower-limb joint angle, moment, and power data were rec-orded. 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. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Biosensors, June 2022, v. 12, no. 6, 430 | en_US |
| dcterms.isPartOf | Biosensors | en_US |
| dcterms.issued | 2022-06 | - |
| dc.identifier.scopus | 2-s2.0-85132628940 | - |
| dc.identifier.pmid | 35735577 | - |
| dc.identifier.eissn | 2079-6374 | en_US |
| dc.identifier.artn | 430 | en_US |
| dc.description.validate | 202305 bcww | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | a2049 | - |
| dc.identifier.SubFormID | 46377 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Hong Kong Research Grants Council (RGC) Direct Allocation Grant—Funding Support to Small Projects, grant number P0036830; Research Institute for Smart Ageing, The Hong Kong Polytechnic University, grant number P0038945; The Hong Kong Polytechnic University, grant number P0034491; Associated Money, The Hong Kong Polytechnic University, grant number G4Y56R006 | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| biosensors-12-00430-v2.pdf | 8.75 MB | Adobe PDF | View/Open |
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