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Huang C, Chen M, Lu Z, Klein CS, Zhou P. Spatial Dependence of Log-Transformed Electromyography-Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii. Bioengineering (Basel) 2023; 10:bioengineering10040469. [PMID: 37106655 PMCID: PMC10136339 DOI: 10.3390/bioengineering10040469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 04/29/2023] Open
Abstract
This study investigated electromyography (EMG)-force relations using both simulated and experimental approaches. A motor neuron pool model was first implemented to simulate EMG-force signals, focusing on three different conditions that test the effects of small or large motor units located more or less superficially in the muscle. It was found that the patterns of the EMG-force relations varied significantly across the simulated conditions, quantified by the slope (b) of the log-transformed EMG-force relation. b was significantly higher for large motor units, which were preferentially located superficially rather than for random depth or deep depth conditions (p < 0.001). The log-transformed EMG-force relations in the biceps brachii muscles of nine healthy subjects were examined using a high-density surface EMG. The slope (b) distribution of the relation across the electrode array showed a spatial dependence; b in the proximal region was significantly larger than the distal region, whereas b was not different between the lateral and medial regions. The findings of this study provide evidence that the log-transformed EMG-force relations are sensitive to different motor unit spatial distributions. The slope (b) of this relation may prove to be a useful adjunct measure in the investigation of muscle or motor unit changes associated with disease, injury, or aging.
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Affiliation(s)
- Chengjun Huang
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA
| | - Maoqi Chen
- School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China
| | - Zhiyuan Lu
- School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China
| | - Cliff S Klein
- Guangdong Work Injury Rehabilitation Center, Rehabilitation Research Institute, Guangzhou 510440, China
| | - Ping Zhou
- School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China
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The effect of epoch length on time and frequency domain parameters of electromyographic and mechanomyographic signals. J Electromyogr Kinesiol 2018; 40:88-94. [PMID: 29704787 DOI: 10.1016/j.jelekin.2018.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 04/10/2018] [Accepted: 04/14/2018] [Indexed: 11/24/2022] Open
Abstract
The selection of epoch lengths affects the time and frequency resolution of electromyographic (EMG) and mechanomyographic (MMG) signals, as well as decisions regarding the signal processing techniques to use for determining the power density spectrum. No previous studies, however, have examined the effects of epoch length on parameters of the MMG signal. The purpose of this study was to examine the differences between epoch lengths for EMG amplitude, EMG mean power frequency (MPF), MMG amplitude, and MMG MPF from the VL and VM muscles during MVIC muscle actions as well as at each 10% of the time to exhaustion (TTE) during a continuous isometric muscle action of the leg extensors at 50% of MVIC. During the MVIC trial, there were no significant (p > 0.05) differences between epoch lengths (0.25, 0.50, 1.00, and 2.00-s) for mean absolute values for any of the EMG or MMG parameters. During the submaximal, sustained muscle action, however, absolute MMG amplitude and MMG MPF were affected by the length of epoch. All epoch related differences were eliminated by normalizing the absolute values to MVIC. These findings supported normalizing EMG and MMG parameter values to MVIC and utilizing epoch lengths that ranged from 0.25 to 2.00-s.
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Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings. Sci Rep 2016; 6:28957. [PMID: 27349938 PMCID: PMC4923947 DOI: 10.1038/srep28957] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 06/13/2016] [Indexed: 11/08/2022] Open
Abstract
The objective was to re-evaluate the controversial reports of EMG-torque relation between impaired and non-impaired sides using linear electrode array EMG recordings. Ten subjects with chronic stroke performed a series of submaximal isometric elbow flexion tasks. A 20-channel linear array was used to record surface EMG of the biceps brachii muscles from both impaired and non-impaired sides. M-wave recordings for bilateral biceps brachii muscles were also made. Distribution of the slope of the EMG-torque relations for the individual channels showed a quasi-symmetrical "M" shaped pattern. The lowest value corresponded to the innervation zone (IZ) location. The highest value from the slope curve for each side was selected for comparison to minimize the effect of electrode placement and IZ asymmetry. The slope was greater on the impaired side in 4 of 10 subjects. There were a weak correlation between slope ratio and strength ratio and a moderate to high correlation between slope ratio and M-wave ratio between two sides. These findings suggest that the EMG-torque relations are likely mediated and influenced by multiple factors. Our findings emphasize the importance of electrode placement and suggest the primary role of peripheral adaptive changes in the EMG-torque relations in chronic stroke.
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Blaesser RJ, Couls LM, Lee CF, Zuniga JM, Malek MH. Comparing EMG amplitude patterns of responses during dynamic exercise: polynomial vs log-transformed regression. Scand J Med Sci Sports 2015; 25:159-65. [PMID: 25973471 DOI: 10.1111/sms.12184] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The purposes of this study were to determine if (a) the log-transformed model can be applied to dynamic exercise and (b) the slope and y-intercept terms can provide additional information above and beyond the polynomial regression analyses. Eleven physically active individuals performed incremental cycle ergometry on a single occasion. Electromyographic electrodes were placed on the three superficial quadriceps muscles to record muscle activation during the exercise test. The patterns of responses for electromyographic amplitude vs power output were analyzed with polynomial and log-transformed regression models. The results of the polynomial regression for the composite data indicated that the best-fit model for the vastus lateralis muscle was linear (R(2) = 0.648, P < 0.0001), whereas the best-fit model for the rectus femoris (R(2) = 0.346, P = 0.013) and vastus medialis (R(2) = 0.764,P = 0.020) muscles was quadratic. One-way repeated measures analyses indicated no significant differences(P > 0.05) across the three superficial quadriceps muscles for the slope and y-intercept terms. These findings suggest that the log-transformed model may be a more versatile statistical approach to examining neuromuscular responses during dynamic exercise.
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Affiliation(s)
- R J Blaesser
- 1Integrative Physiology of Exercise Laboratory, Physical Therapy Program, College of Pharmacy and Health Sciences, Wayne State, University, Detroit, MI, USA
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Galen SS, Guffey DR, Coburn JW, Malek MH. Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test. J Vis Exp 2015:e52729. [PMID: 26274384 DOI: 10.3791/52729] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Theoretically, the electromyographic (EMG) fatigue threshold is the exercise intensity an individual can maintain indefinitely without the need to recruit more motor units which is associated with an increase in the EMG amplitude. Although different protocols have been used to estimate the EMG fatigue threshold they require multiple visits which are impractical for a clinical setting. Here, we present a protocol for estimating the EMG fatigue threshold for cycle ergometry which requires a single visit. This protocol is simple, convenient, and completed within 15-20 min, therefore, has the potential to be translated into a tool that clinicians can use in exercise prescription.
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Affiliation(s)
- Sujay S Galen
- Physical Therapy Program and Integrative Physiology of Exercise Laboratory, Department of Health Care Sciences, Wayne State University
| | - Darren R Guffey
- Sports Medicine and Physical Therapy, MEDSPORT, University of Michigan Health System
| | - Jared W Coburn
- Department of Kinesiology, California State University, Fullerton
| | - Moh H Malek
- Physical Therapy Program and Integrative Physiology of Exercise Laboratory, Department of Health Care Sciences, Wayne State University;
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Eason T, Gavel CR, Hawley KA, Galen SS, Malek MH. Reliability of the log-transformed EMG amplitude-power output relationship for incremental knee-extensor ergometry. Muscle Nerve 2015; 52:428-34. [DOI: 10.1002/mus.24561] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Revised: 12/03/2014] [Accepted: 12/21/2014] [Indexed: 11/08/2022]
Affiliation(s)
- Travis Eason
- Integrative Physiology of Exercise Laboratory, Eugene Applebaum College of Pharmacy & Health Sciences; 259 Mack Avenue, Room 2248 Detroit Michigan 48201 USA
- Physical Therapy Program, Wayne State University, College of Pharmacy and Health Sciences, Department of Health Care Sciences; Detroit Michigan USA
| | - Christine R. Gavel
- Integrative Physiology of Exercise Laboratory, Eugene Applebaum College of Pharmacy & Health Sciences; 259 Mack Avenue, Room 2248 Detroit Michigan 48201 USA
- Physical Therapy Program, Wayne State University, College of Pharmacy and Health Sciences, Department of Health Care Sciences; Detroit Michigan USA
| | - Kyle A. Hawley
- Integrative Physiology of Exercise Laboratory, Eugene Applebaum College of Pharmacy & Health Sciences; 259 Mack Avenue, Room 2248 Detroit Michigan 48201 USA
- Physical Therapy Program, Wayne State University, College of Pharmacy and Health Sciences, Department of Health Care Sciences; Detroit Michigan USA
| | - Sujay S. Galen
- Physical Therapy Program, Wayne State University, College of Pharmacy and Health Sciences, Department of Health Care Sciences; Detroit Michigan USA
| | - Moh H. Malek
- Integrative Physiology of Exercise Laboratory, Eugene Applebaum College of Pharmacy & Health Sciences; 259 Mack Avenue, Room 2248 Detroit Michigan 48201 USA
- Physical Therapy Program, Wayne State University, College of Pharmacy and Health Sciences, Department of Health Care Sciences; Detroit Michigan USA
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Herda TJ, Zuniga JM, Ryan ED, Camic CL, Bergstrom HC, Smith DB, Weir JP, Cramer JT, Housh TJ. The influence of electromyographic recording methods and the innervation zone on the mean power frequency-torque relationships. J Electromyogr Kinesiol 2015; 25:423-30. [PMID: 25851079 DOI: 10.1016/j.jelekin.2015.02.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 01/30/2015] [Accepted: 02/27/2015] [Indexed: 10/23/2022] Open
Abstract
This study examined the effects of electromyographic (EMG) recording methods and innervation zone (IZ) on the mean power frequency (MPF)-torque relationships. Nine subjects performed isometric ramp muscle actions of the leg extensors from 5% to 100% of maximal voluntary contraction with an eight channel linear electrode array over the IZ of the vastus lateralis. The slopes were calculated from the log-transformed monopolar and bipolar EMG MPF-torque relationships for each channel and subject and 95% confidence intervals (CI) were constructed around the slopes for each relationship and the composite of the slopes. Twenty-two to 55% of the subjects exhibited 95% CIs that did not include a slope of zero for the monopolar EMG MPF-torque relationships while 25-75% of the subjects exhibited 95% CIs that did not include a slope of zero for the bipolar EMG MPF-torque relationships. The composite of the slopes from the EMG MPF-torque relationships were not significantly different from zero for any method or channel, however, the method and IZ location slightly influenced the number of significant slopes on a subject-by-subject basis. The log-transform model indicated that EMG MPF-torque patterns were nonlinear regardless of recording method or distance from the IZ.
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Affiliation(s)
- Trent J Herda
- Department of Health, Sport, and Exercise Sciences, Neuromechanics Laboratory, University of Kansas, Lawrence, KS, USA.
| | - Jorge M Zuniga
- Exercise Science Department, Creighton University, Omaha, NE, USA
| | - Eric D Ryan
- Department of Exercise and Sport Science, Neuromuscular Research Laboratory, University of North Carolina - Chapel Hill, Chapel Hill, NC, USA
| | - Clayton L Camic
- Exercise and Sport Science Department, University of Wisconsin-La Crosse, La Crosse, WI, USA
| | - Haley C Bergstrom
- Department of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, USA
| | - Doug B Smith
- Department of Health and Human Performance, Oklahoma State University, Stillwater, OK, USA
| | - Joseph P Weir
- Department of Health, Sport, and Exercise Sciences, Neuromechanics Laboratory, University of Kansas, Lawrence, KS, USA
| | - Joel T Cramer
- Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Terry J Housh
- Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
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Li S, Liu J, Bhadane M, Zhou P, Rymer WZ. Activation deficit correlates with weakness in chronic stroke: evidence from evoked and voluntary EMG recordings. Clin Neurophysiol 2014; 125:2413-7. [PMID: 24747057 DOI: 10.1016/j.clinph.2014.03.019] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2013] [Revised: 03/04/2014] [Accepted: 03/20/2014] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To use evoked (M-wave) and voluntary (during maximal voluntary contraction (MVC)) EMG recordings to estimate the voluntary activation level in chronic stroke. METHODS Nine chronic hemiparetic stroke subjects participated in the experiment. M-wave (EMGM-wave) and MVC (EMGMVC) EMG values of the biceps brachii muscles were recorded. RESULTS Peak torque was significantly smaller on the impaired than non-impaired side. EMGM-wave was also significantly smaller on the impaired than non-impaired side. However, the normalized EMGM-wave/TorqueMVC ratio was not significantly different between two sides. In contrast, both absolute EMGMVC and normalized EMGMVC/TorqueMVC were smaller on the impaired than non-impaired side. The voluntary activation level, EMGMVC/M-wave, was also smaller on the impaired than non-impaired side. The voluntary activation level on the impaired side was highly correlated with weakness (R=0.72), but very low (R=0.32) on the non-impaired side. CONCLUSION Collectively, our findings suggest that both peripheral and central factors contribute to post-stroke weakness, but activation deficit correlates most closely with weakness as estimated from maximum voluntary torque generation. SIGNIFICANCE These findings serve to highlight the potential benefit from high-intensity exercises to enhance central activation for facilitation of motor recovery.
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Affiliation(s)
- Sheng Li
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center - Houston, Houston, TX 77030, United States; Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Hospital, Houston, TX 77030, United States.
| | - Jie Liu
- Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, United States
| | - Minal Bhadane
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center - Houston, Houston, TX 77030, United States; Neurorehabilitation Research Laboratory, TIRR Memorial Hermann Hospital, Houston, TX 77030, United States
| | - Ping Zhou
- Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center - Houston, Houston, TX 77030, United States; Biomedical Engineering Program, University of Science and Technology of China, Hefei, China
| | - W Zev Rymer
- Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, United States
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