Quantitative and Qualitative Evaluation of Knee Electromyograms by a Bluetooth-communication Gait Analyzer: Integration and Power Spectral Analysis of Surface Electromyograms
[Purpose] We observed the action of muscles during gait using a Bluetooth Gait Analyzer (sampling frequency 1 kHz), by integrating electromyograms and performing power spectral analysis. Analyzer was described in the quantitative and qualitative evaluation of these muscles. [Subjects] The subjects w...
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| Published in | Journal of Physical Therapy Science Vol. 22; no. 3; pp. 259 - 265 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
The Society of Physical Therapy Science
01.01.2010
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0915-5287 2187-5626 2187-5626 |
| DOI | 10.1589/jpts.22.259 |
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| Abstract | [Purpose] We observed the action of muscles during gait using a Bluetooth Gait Analyzer (sampling frequency 1 kHz), by integrating electromyograms and performing power spectral analysis. Analyzer was described in the quantitative and qualitative evaluation of these muscles. [Subjects] The subjects were 15 healthy adult males. [Methods] A Bluetooth electromyography gait analyzer was used to observe the action of the vastus medialis muscle (Quad muscle) and the long head of the biceps femoris muscle (Hamstrings) during slow, medium, and fast gait. Electromyograms were subjected to integration and power spectral analysis evaluation. [Results] The integrated electromyograms of the Quad muscles and the Hamstrings increased significantly with increases in gait speed. Power spectral analysis showed the mean power frequency of the Quad muscles tended to decrease, and the high frequency component (81-250 Hz) was significantly reduced. The mean power frequency of the Hamstrings increased with increases in gait speed, but the high frequency component was significantly increased. [Conclusion] The observed tendencies might have resulted from the induction of positive action in type I muscle fibers in the Quad muscles with increased gait speed and of the muscle action of type II fibers in the Hamstrings. We suggest that, as the gait speed increases, the Quad muscles are forced to play the role of a braking muscle. |
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| AbstractList | Purpose: We observed the action of muscles during gait using a Bluetooth Gait Analyzer (sampling frequency 1 kHz), by integrating electromyograms and performing power spectral analysis. Analyzer was described in the quantitative and qualitative evaluation of these muscles. Subjects: The subjects were 15 healthy adult males. Methods: A Bluetooth electromyography gait analyzer was used to observe the action of the vastus medialis muscle (Quad muscle) and the long head of the biceps femoris muscle (Hamstrings) during slow, medium, and fast gait. Electromyograms were subjected to integration and power spectral analysis evaluation. Results: The integrated electromyograms of the Quad muscles and the Hamstrings increased significantly with increases in gait speed. Power spectral analysis showed the mean power frequency of the Quad muscles tended to decrease, and the high frequency component (81-250 Hz) was significantly reduced. The mean power frequency of the Hamstrings increased with increases in gait speed, but the high frequency component was significantly increased. Conclusion: The observed tendencies might have resulted from the induction of positive action in type I muscle fibers in the Quad muscles with increased gait speed and of the muscle action of type II fibers in the Hamstrings. We suggest that, as the gait speed increases, the Quad muscles are forced to play the role of a braking muscle. [Purpose] We observed the action of muscles during gait using a Bluetooth Gait Analyzer (sampling frequency 1 kHz), by integrating electromyograms and performing power spectral analysis. Analyzer was described in the quantitative and qualitative evaluation of these muscles. [Subjects] The subjects were 15 healthy adult males. [Methods] A Bluetooth electromyography gait analyzer was used to observe the action of the vastus medialis muscle (Quad muscle) and the long head of the biceps femoris muscle (Hamstrings) during slow, medium, and fast gait. Electromyograms were subjected to integration and power spectral analysis evaluation. [Results] The integrated electromyograms of the Quad muscles and the Hamstrings increased significantly with increases in gait speed. Power spectral analysis showed the mean power frequency of the Quad muscles tended to decrease, and the high frequency component (81-250 Hz) was significantly reduced. The mean power frequency of the Hamstrings increased with increases in gait speed, but the high frequency component was significantly increased. [Conclusion] The observed tendencies might have resulted from the induction of positive action in type I muscle fibers in the Quad muscles with increased gait speed and of the muscle action of type II fibers in the Hamstrings. We suggest that, as the gait speed increases, the Quad muscles are forced to play the role of a braking muscle. Abstract. [Purpose] We observed the action of muscles during gait using a Bluetooth Gait Analyzer (sampling frequency 1 kHz), by integrating electromyograms and performing power spectral analysis. Analyzer was described in the quantitative and qualitative evaluation of these muscles. [Subjects] The subjects were 15 healthy adult males. [Methods] A Bluetooth electromyography gait analyzer was used to observe the action of the vastus medialis muscle (Quad muscle) and the long head of the biceps femoris muscle (Hamstrings) during slow, medium, and fast gait. Electromyograms were subjected to integration and power spectral analysis evaluation. [Results] The integrated electromyograms of the Quad muscles and the Hamstrings increased significantly with increases in gait speed. Power spectral analysis showed the mean power frequency of the Quad muscles tended to decrease, and the high frequency component (81-250 Hz) was significantly reduced. The mean power frequency of the Hamstrings increased with increases in gait speed, but the high frequency component was significantly increased. [Conclusion] The observed tendencies might have resulted from the induction of positive action in type I muscle fibers in the Quad muscles with increased gait speed and of the muscle action of type II fibers in the Hamstrings. We suggest that, as the gait speed increases, the Quad muscles are forced to play the role of a braking muscle. |
| Author | Draper, David O. Castel, Chris Fujiwara, Takayuki Karasuno, Hiroshi Palermo, Francis X. Morozumi, Kazunori Endou, Toshihiro |
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| Cites_doi | 10.1002/mus.880160605 10.1113/jphysiol.1982.sp014294 10.1016/S0003-9993(98)90231-3 10.1111/j.1475-097X.1993.tb00463.x 10.1016/S0966-6362(01)00200-4 10.1016/S0021-9290(03)00233-1 10.1152/jappl.1970.29.3.358 10.1016/j.apmr.2005.11.011 10.1097/00002060-198812000-00003 10.1113/jphysiol.1973.sp010193 10.1113/jphysiol.1952.sp004763 10.1097/01.pep.0000186507.74151.78 10.1016/j.gaitpost.2004.01.013 10.1016/S0966-6362(01)00206-5 10.1016/S0268-0033(98)00089-8 10.1016/0304-3959(87)90089-3 10.1007/BF00421103 10.1152/jn.1965.28.3.560 10.1152/jn.2000.83.1.441 10.1016/S0966-6362(03)00071-7 10.1016/S0268-0033(98)00090-4 |
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| References | 8) Gajdosik CG: Ability of very young children to produce reliable isometric force measurements. Pediatr Phys Ther, 2005, 17: 251-257. 29) Otter den AR, Geurts ACH, Mulder T, et al.: Speed related changes in muscle activity from normal to very slow walking speeds. Gait Posture, 2004, 19: 270-278. 26) Yao W, Fuglevand RJ, Enoka RM: Motor-unit synchronization increases EMG amplitude and decreases force steadiness of simulated contractions. J Neurophysiol, 2000, 83: 441-452. 19) Gerdle B, Edström M, Rahm M: Fatigue in the shoulder muscles during static work at two different torque levels. Clin Physiol, 1993, 13:469-482. 16) Nagata A: Science of Muscle and Muscle Strength. Tokyo: Fumaidou Syuppan, 1984, pp129-156(in Japanese). 23) Milner-Brown HS, Stein RB, Yemm R: Changes in firing rate of human motor units during linearly changing voluntary contractions. J Physiol, 1973, 230:371-390. 14) Ushiyama Y, Chigira T, Murayama T, et al.: Muscle fatigue evaluation system applicable while skiing using EMG and knee joint angles. Trans Jpn Soc Med Biol Eng, 2005, 43: 616-622(in Japanese with English Abstract). 4) Moe-Nilssen R: A new method for evaluating motor control in gait under real-life environmental conditions Part 1 the instrument. Clin Biomech, 1998, 13: 320-327. 1) Moe-Nilssen R, Helbostad JL: Interstride trunk acceleration variability but not step width variability can differentiate between fit and frail older adults. Gait Posture, 2005, 21: 164-170. 5) Moe-Nilssen R: A new method for evaluating motor control in gait under real-life environmental conditions Part 2 gait analysis. Clin Biomech, 1998, 13: 328-335. 10) Vannah WM: A method of residual limb stiffness distribution measurement. J Rehabil Res Dev, 1999, 36: 1-7. 18) Kuroda E, Klissouras V, Milsum JH: Electrical and metabolic activities and fatigue in human isometric contraction. J Appl Physiol, 1970, 29:358-367. 9) Roberts KL: Reliability and validity of an instrument to measure tissue hardness in breasts. Aust J Adv Nurs, 1999, 16:19-23. 22) Vaz MA, Zhang YT, Herzog W, et al.: The behavior of rectus femoris and vastus lateralis during fatigue and recovery, an electromyographic and vibromyographic study. Electromyogr Clin Neurophysiol, 1996, 36:221-230. 25) Moritani T, Muramatsu S, Muro M: Activity of motor units during concentric and eccentric contractions. Am J Phys Med, 1987, 66: 338-350. 15) Morozumi K, Fujiwara T, Castel C, et al.: Reliability and application of a gait analysis system with Bluetooth Communication-type 3 Axis Accelerometer and EMG. Jpn J Physiol Anthropol, 2008, 13: 51-58 (in Japanese with English Abstract). 27) De Luca CJ, LeFever RS, McCue MP, et al.: Control scheme governing concurrently active human motor units during voluntary contractions. J Physiol, 1982, 329:129-142. 13) Fischer AA: Pressure algometry over normal muscles, standard values, validity and reproducibility of pressure threshold. Pain, 1987, 30:115-126. 2) Moe-Nilssen R, Helbostad JL: Estimation of gait cycle characteristics by trunk accelerometry. J Biomech, 2004, 37:121-126. 7) Li RC, Jasiewicz JM, Middleton J, et al.: The development, validity, and reliability of a manual muscle testing device with integrated limb position sensors. Arch Phys Med Rehabil, 2006, 87: 411-417. 28) Hof AL, Elzinga H, Grimmius W, et al.: Speed dependence of averaged EMG profiles in walking. Gait Posture, 2002, 16: 78-86. 24) Henneman E, Somjen G, Carpenter DO: Functional significance of cell size in spinal motoneurons. J Neurophysiol, 1965, 28:560-580. 17) Lippold O C J: The relation between integrated action potentials in a human muscle and its isometric tension. J Physiol, 1952, 117:492-499. 11) Fischer AA: T issue compliance meter for objective, quantitative documentation of soft tissue consistency and pathology. Arch Phys Med Rehabil, 1987, 68:122-125. 6) Moe-Nilssen R: Test-retest reliability of trunk accelerometry during standing and gait. Arch Phys Med Rehabil, 1998, 79: 1377-1385. 20) Badier M, Guillot C, Lagier TF, et al.: EMG power spectrum of respiratory and skeletal muscles during static contraction in healthy man. Muscle Nerve, 1993, 16:601-609. 12) Fischer AA: Pressure threshold meter: its use for quantification of tender spots. Arch Phys Med Rehabil, 1986, 67:836-838. 3) Moe-Nilssen R, Helbostad JL: Trunk accelerometry as a measure of balance control during quiet standing. Gait Posture, 2002, 16:60-68. 21) Komi PV, Tesch P: EMG frequency spectrum, muscle structure, and fatigue during dynamic contractions in man. Eur J Appl Physiol Occup Physiol, 1979, 42: 41-50. 22 23 24 25 27 28 29 10 YAO W (26) 2000; 83 11 12 13 14 15 16 17 18 19 1 2 3 4 5 6 7 8 9 20 21 |
| References_xml | – reference: 29) Otter den AR, Geurts ACH, Mulder T, et al.: Speed related changes in muscle activity from normal to very slow walking speeds. Gait Posture, 2004, 19: 270-278. – reference: 17) Lippold O C J: The relation between integrated action potentials in a human muscle and its isometric tension. J Physiol, 1952, 117:492-499. – reference: 20) Badier M, Guillot C, Lagier TF, et al.: EMG power spectrum of respiratory and skeletal muscles during static contraction in healthy man. Muscle Nerve, 1993, 16:601-609. – reference: 2) Moe-Nilssen R, Helbostad JL: Estimation of gait cycle characteristics by trunk accelerometry. J Biomech, 2004, 37:121-126. – reference: 1) Moe-Nilssen R, Helbostad JL: Interstride trunk acceleration variability but not step width variability can differentiate between fit and frail older adults. Gait Posture, 2005, 21: 164-170. – reference: 21) Komi PV, Tesch P: EMG frequency spectrum, muscle structure, and fatigue during dynamic contractions in man. Eur J Appl Physiol Occup Physiol, 1979, 42: 41-50. – reference: 5) Moe-Nilssen R: A new method for evaluating motor control in gait under real-life environmental conditions Part 2 gait analysis. Clin Biomech, 1998, 13: 328-335. – reference: 16) Nagata A: Science of Muscle and Muscle Strength. Tokyo: Fumaidou Syuppan, 1984, pp129-156(in Japanese). – reference: 28) Hof AL, Elzinga H, Grimmius W, et al.: Speed dependence of averaged EMG profiles in walking. Gait Posture, 2002, 16: 78-86. – reference: 11) Fischer AA: T issue compliance meter for objective, quantitative documentation of soft tissue consistency and pathology. Arch Phys Med Rehabil, 1987, 68:122-125. – reference: 25) Moritani T, Muramatsu S, Muro M: Activity of motor units during concentric and eccentric contractions. Am J Phys Med, 1987, 66: 338-350. – reference: 23) Milner-Brown HS, Stein RB, Yemm R: Changes in firing rate of human motor units during linearly changing voluntary contractions. J Physiol, 1973, 230:371-390. – reference: 18) Kuroda E, Klissouras V, Milsum JH: Electrical and metabolic activities and fatigue in human isometric contraction. J Appl Physiol, 1970, 29:358-367. – reference: 12) Fischer AA: Pressure threshold meter: its use for quantification of tender spots. Arch Phys Med Rehabil, 1986, 67:836-838. – reference: 14) Ushiyama Y, Chigira T, Murayama T, et al.: Muscle fatigue evaluation system applicable while skiing using EMG and knee joint angles. Trans Jpn Soc Med Biol Eng, 2005, 43: 616-622(in Japanese with English Abstract). – reference: 3) Moe-Nilssen R, Helbostad JL: Trunk accelerometry as a measure of balance control during quiet standing. Gait Posture, 2002, 16:60-68. – reference: 19) Gerdle B, Edström M, Rahm M: Fatigue in the shoulder muscles during static work at two different torque levels. Clin Physiol, 1993, 13:469-482. – reference: 7) Li RC, Jasiewicz JM, Middleton J, et al.: The development, validity, and reliability of a manual muscle testing device with integrated limb position sensors. Arch Phys Med Rehabil, 2006, 87: 411-417. – reference: 26) Yao W, Fuglevand RJ, Enoka RM: Motor-unit synchronization increases EMG amplitude and decreases force steadiness of simulated contractions. J Neurophysiol, 2000, 83: 441-452. – reference: 15) Morozumi K, Fujiwara T, Castel C, et al.: Reliability and application of a gait analysis system with Bluetooth Communication-type 3 Axis Accelerometer and EMG. Jpn J Physiol Anthropol, 2008, 13: 51-58 (in Japanese with English Abstract). – reference: 27) De Luca CJ, LeFever RS, McCue MP, et al.: Control scheme governing concurrently active human motor units during voluntary contractions. J Physiol, 1982, 329:129-142. – reference: 9) Roberts KL: Reliability and validity of an instrument to measure tissue hardness in breasts. Aust J Adv Nurs, 1999, 16:19-23. – reference: 8) Gajdosik CG: Ability of very young children to produce reliable isometric force measurements. Pediatr Phys Ther, 2005, 17: 251-257. – reference: 13) Fischer AA: Pressure algometry over normal muscles, standard values, validity and reproducibility of pressure threshold. Pain, 1987, 30:115-126. – reference: 22) Vaz MA, Zhang YT, Herzog W, et al.: The behavior of rectus femoris and vastus lateralis during fatigue and recovery, an electromyographic and vibromyographic study. Electromyogr Clin Neurophysiol, 1996, 36:221-230. – reference: 6) Moe-Nilssen R: Test-retest reliability of trunk accelerometry during standing and gait. Arch Phys Med Rehabil, 1998, 79: 1377-1385. – reference: 4) Moe-Nilssen R: A new method for evaluating motor control in gait under real-life environmental conditions Part 1 the instrument. Clin Biomech, 1998, 13: 320-327. – reference: 10) Vannah WM: A method of residual limb stiffness distribution measurement. J Rehabil Res Dev, 1999, 36: 1-7. – reference: 24) Henneman E, Somjen G, Carpenter DO: Functional significance of cell size in spinal motoneurons. J Neurophysiol, 1965, 28:560-580. – ident: 20 doi: 10.1002/mus.880160605 – ident: 27 doi: 10.1113/jphysiol.1982.sp014294 – ident: 6 doi: 10.1016/S0003-9993(98)90231-3 – ident: 19 doi: 10.1111/j.1475-097X.1993.tb00463.x – ident: 3 doi: 10.1016/S0966-6362(01)00200-4 – ident: 2 doi: 10.1016/S0021-9290(03)00233-1 – ident: 12 – ident: 18 doi: 10.1152/jappl.1970.29.3.358 – ident: 10 – ident: 16 – ident: 7 doi: 10.1016/j.apmr.2005.11.011 – ident: 14 – ident: 25 doi: 10.1097/00002060-198812000-00003 – ident: 9 – ident: 23 doi: 10.1113/jphysiol.1973.sp010193 – ident: 22 – ident: 17 doi: 10.1113/jphysiol.1952.sp004763 – ident: 8 doi: 10.1097/01.pep.0000186507.74151.78 – ident: 11 – ident: 15 – ident: 1 doi: 10.1016/j.gaitpost.2004.01.013 – ident: 28 doi: 10.1016/S0966-6362(01)00206-5 – ident: 4 doi: 10.1016/S0268-0033(98)00089-8 – ident: 13 doi: 10.1016/0304-3959(87)90089-3 – ident: 21 doi: 10.1007/BF00421103 – ident: 24 doi: 10.1152/jn.1965.28.3.560 – volume: 83 start-page: 441 issn: 0022-3077 issue: 1 year: 2000 ident: 26 doi: 10.1152/jn.2000.83.1.441 – ident: 29 doi: 10.1016/S0966-6362(03)00071-7 – ident: 5 doi: 10.1016/S0268-0033(98)00090-4 |
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| Title | Quantitative and Qualitative Evaluation of Knee Electromyograms by a Bluetooth-communication Gait Analyzer: Integration and Power Spectral Analysis of Surface Electromyograms |
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