Literature DB >> 18566937

Dynamic monitoring of forearm muscles using one-dimensional sonomyography system.

Jing-Yi Guo1, Yong-Ping Zheng, Qing-Hua Huang, Xin Chen.   

Abstract

We introduce a method, known as one-dimensional sonomyography (1-D SMG), that uses A-mode ultrasound signals to detect dynamic thickness changes in skeletal muscle during contraction. We custom-designed a 1-D SMG system to collect synchronized A-mode ultrasound, joint angle, and surface electromyography (EMG) signals of forearm muscles during wrist extension. We extracted the 1-D SMG signal from the ultrasound signal by automatically tracking the corresponding echoes, which we then used to calculate muscle thickness changes. We tested the right forearm muscles of nine nondisabled young subjects while they performed wrist extensions at 15.0, 22.5, and 30.0 cycles/min and their largest wrist extension angle ranged from 80 degrees to 90 degrees . We found that the muscle deformation and EMG root mean square signals correlated linearly with wrist extension angle. The ratio of deformation to wrist angle was significantly different among the subjects (p < 0.001) but not among the trials of different extension rates for each subject (p = 0.9). The results demonstrate that 1-D SMG can be reliably performed and that it has the potential for skeletal muscle assessment and prosthesis control.

Entities:  

Mesh:

Year:  2008        PMID: 18566937     DOI: 10.1682/jrrd.2007.02.0026

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  9 in total

1.  Classification Performance and Feature Space Characteristics in Individuals With Upper Limb Loss Using Sonomyography.

Authors:  Susannah Engdahl; Ananya Dhawan; Ahmed Bashatah; Guoqing Diao; Biswarup Mukherjee; Brian Monroe; Rahsaan Holley; Siddhartha Sikdar
Journal:  IEEE J Transl Eng Health Med       Date:  2022-01-06       Impact factor: 3.316

2.  An autonomous wearable system for predicting and detecting localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-01-27       Impact factor: 3.576

Review 3.  A review of non-invasive techniques to detect and predict localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-03-24       Impact factor: 3.576

4.  Electromyography and sonomyography analysis of the tibialis anterior: a cross sectional study.

Authors:  Antonio I Cuesta-Vargas; Maria Ruiz-Muñoz
Journal:  J Foot Ankle Res       Date:  2014-02-08       Impact factor: 2.303

5.  Ultrasound Measurement of Skeletal Muscle Contractile Parameters Using Flexible and Wearable Single-Element Ultrasonic Sensor.

Authors:  Ibrahim AlMohimeed; Yuu Ono
Journal:  Sensors (Basel)       Date:  2020-06-27       Impact factor: 3.576

6.  Automated semi-real-time detection of muscle activity with ultrasound imaging.

Authors:  Anna J Sosnowska; Aleksandra Vuckovic; Henrik Gollee
Journal:  Med Biol Eng Comput       Date:  2021-08-16       Impact factor: 2.602

7.  Classifying Muscle States with One-Dimensional Radio-Frequency Signals from Single Element Ultrasound Transducers.

Authors:  Lukas Brausch; Holger Hewener; Paul Lukowicz
Journal:  Sensors (Basel)       Date:  2022-04-05       Impact factor: 3.576

8.  Relationship of EMG/SMG features and muscle strength level: an exploratory study on tibialis anterior muscles during plantar-flexion among hemiplegia patients.

Authors:  Huihui Li; Guoru Zhao; Yongjin Zhou; Xin Chen; Zhen Ji; Lei Wang
Journal:  Biomed Eng Online       Date:  2014-01-27       Impact factor: 2.819

9.  Neural Network-Based Muscle Torque Estimation Using Mechanomyography During Electrically-Evoked Knee Extension and Standing in Spinal Cord Injury.

Authors:  Muhammad Afiq Dzulkifli; Nur Azah Hamzaid; Glen M Davis; Nazirah Hasnan
Journal:  Front Neurorobot       Date:  2018-08-10       Impact factor: 2.650

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.