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Journal articles on the topic 'Electromyography'

To see the other types of publications on this topic, follow the link: Electromyography.

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Ballaro, Andrew. "The Elusive Electromyogram in the Overactive Bladder: A Spark of Understanding." Annals of The Royal College of Surgeons of England 90, no. 5 (July 2008): 362–67. http://dx.doi.org/10.1308/003588408x301217.

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It has been said that a technique capable of recording a urinary bladder electromyogram could be useful in the clinical evaluation of the detrusor neuropathies and myopathies implicated in the generation of lower urinary tract symptoms. However, in contrast to electromyography of skeletal and cardiac muscle, detrusor smooth muscle electromyography has remained in its infancy despite 50 years of scientific effort. The principal problems appear to be isolation of the real signal from artefacts, and the doubtful existence of electromyographic activity during cholinergic muscle contraction. The discovery of purinergic neuromuscular transmission in the overactive human bladder has renewed interest in detrusor electromyography as, in contrast to cholinergic mechanisms, purinergic mechanisms can generate extracellular electrical activity. In this paper, the development and validation of a novel technique for recording electrical activity from neurologically intact guinea-pig and human detrusor in vitro is described. A purinergic electromyographic signal is characterised and it is shown that detrusor taken from overactive human bladders has a greater propensity to generate electromyographic activity than normal by virtue of an aberrant purinergic mechanism.

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2

Moreno-Pérez, Diego, Pedro J. Marín, Álvaro López-Samanes, Roberto Cejuela-Anta, and Jonathan Esteve-Lanao. "Muscle Activation in Middle-Distance Athletes with Compression Stockings." Sensors 20, no. 5 (February 26, 2020): 1268. http://dx.doi.org/10.3390/s20051268.

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The aim of this study was to evaluate changes in electromyographic activity with the use of gradual compression stockings (GCSs) on middle-distance endurance athletes’ performance, based on surface electromyography measurement techniques. Sixteen well-trained athletes were recruited (mean ± SD: age 33.4 ± 6.3 years, VO2max 63.7 ± 6.3 mL·kg−1·min−1, maximal aerobic speed 19.7 ± 1.5 km·h). The athletes were divided into two groups and were assigned in a randomized order to their respective groups according to their experience with the use of GCSs. Initially, a maximum oxygen consumption (VO2max) test was performed to standardize the athletes’ running speeds for subsequent tests. Afterward, electromyographic activity, metabolic, and performance variables for each group were measured with surface electromyography. In addition, blood lactate concentration was measured, both with and without GCSs, during 10 min at 3% above VT2 (second ventilatory threshold), all of which were performed on the track. Next, surface electromyography activity was measured during a 1 km run at maximum speed. No significant changes were found in electromyography activity, metabolic and performance variables with GCSs use (p > 0.164) in any of the variables measured. Overall, there were no performance benefits when using compression garments against a control condition.

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3

Pezarat-Correia, Pedro R., Pedro R. Medeiros, Orlando J. Fernandes, João R. Vaz, Luis Silva, and Antonio Carlos Moraes. "Comparison of shoulder and trunk muscle activation between different pullover exercises." Revista Andaluza de Medicina del Deporte 13, no. 3 (March 11, 2020): 127–33. http://dx.doi.org/10.33155/j.ramd.2020.03.004.

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Objective: To quantify and compare the electromyographic activity of 10 muscles in three pullover exercises. Methods: 15 healthy men, with at least two years of experience in resistance training, executed in random order six repetitions with 60% of 1 Maximum Repetition for three different pullover exercises: lying on a step with a barbell, grip 100% biacromial (E1); lying on a step with a barbell, grip 150% (E2); lying on a Swiss ball with a barbell, grip 100% (E3). Surface electromyography was recorded from the Deltoideus (Clavicular and Spinalis Pars), Pectoralis Major (Clavicular and Sternocostalis Pars), Serratus Anterior, Triceps Brachii (Long Head), Latissimus Dorsi, Infraspinatus, Rectus Abdominis, Obliquus Internus Abdominis and Transversus Abdominis. The normalized Maximum Repetition electromyographyc of each muscle was calculated for each exercise. Results: The most engaged muscles were Infraspinatus (51-53%) and Posterior Deltoid (49-51%). Surface electromyography activity was similar between the E1, E2 and E3 exercises. Conclusions: This study quantified muscular solicitation during pullover exercises performed with 60% Maximum Repetition. The muscles with higher level of activation were the Posterior Deltoid and the Infraspinatus, suggesting that pullover may be a valid option for strengthening the dynamic stabilizing muscles of shoulder joint in trained individuals. No significant differences in muscle electromyography intensity were observed when grip distance and trunk stabilization were altered, showing that these conditions do not influence muscle activation levels. However, the 1 Maximum Repetition was lower when the pullover was performed on a Swiss ball, suggesting that it is possible to obtain higher level of muscle recruitment with lower weights in unstable exercises.

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4

Amrinsani, Farid, Levana Forra Wakidi, Made Dwi Pandya Suryanta, Dessy Tri Wulandari, and Muhammad Tariq Sadiq. "Detection Signal Electromyograpy using Dry Electrode and Disposible Electrodes on the Upper Extremity when Lifting Weights." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 4, no. 4 (November 24, 2022): 123–30. http://dx.doi.org/10.35882/ijeeemi.v4i4.252.

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One of the biosignals used to identify human muscle impulses is electromyography. Electromyographic signals are frequently utilized as inputs and are designed to help persons with disabilities or aid in the healing process following stroke therapy. According to studies, this occurrence has led to the development of numerous electromyography module sensor designs to meet different purposes. In this work, disposable electrodes and dry electrodes are used to examine the root mean square RMS values of two different electromyography sensor module types. With a 3 kg barber lift action, each module is used to detect signals in the biceps, which are part of the upper extremity muscles. According to the study's findings, the two electromyography modules with disposable electrodes produced data with a p-value of 0.001766368 0.05. It can be inferred that there is no difference between the E1 and E2 modules because the p-value for the t-test of the two modules with dry electrodes is 0.001766368 0.05. However, there is a variance in the amplitude's magnitude, with a difference of 30mV between the disposable and dry electrodes. The results of this study can be used to teach students, and a module developed as a result of it can be applied to other studies to help find electromyographic signals.

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5

Bansal, A., P. A. Stewart, S. Phillips, S. Liang, and X. Wang. "The Effect of Preload on Electromyographic Train-Of-Four Ratio at the First Dorsal Interosseous Muscle during Spontaneous Recovery from Neuromuscular Blockade." Anaesthesia and Intensive Care 46, no. 6 (November 2018): 614–19. http://dx.doi.org/10.1177/0310057x1804600613.

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Accurate and reliable quantitative neuromuscular function monitoring is desirable for the optimal management of neuromuscular blockade, selection of the most appropriate reversal agent and dosage, and assessing the completeness of reversal to exclude residual neuromuscular blockade. Applying preload to the thumb may affect the precision of electromyography. This study compared the precision and agreement of electromyography with and without preload during recovery from non-depolarising neuromuscular blockade. After induction of anaesthesia and before neuromuscular blockade, the supramaximal current required at the first dorsal interosseous muscle with and without preload was determined. During recovery, train-of-four ratios were recorded using electromyography every 20 seconds. Alternating pairs of measurements (with and without preload) were obtained until spontaneous recovery was achieved. The preload device applied a resting tension of 75–150 g to the thumb. Bland–Altman analysis for repeated measurements was used to assess precision and agreement of electromyography responses with and without muscle preload. Two hundred and seventy-five sets of repeated measurements were collected from 35 participants. The repeatability coefficient for train-of-four ratios recorded by electromyography with a preload was 0.030 (95% confidence intervals, CI, 0.028 to 0.031) versus 0.068 (95% CI 0.064 to 0.072) without. Train-of-four ratios with preload demonstrated a bias of +0.038 (95% CI 0.037 to 0.042) compared to electromyography without, with 95% limits of agreement of 0.035–0.111. Preload significantly improved the precision of electromyographic train-of-four ratios, with 95% of consecutive measurements differing by less than 3%. Furthermore, electromyography with preload demonstrated a positive bias of 0.04 compared with electromyography alone, the clinical significance of which requires further research.

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6

González-Woge, Osmar R., Bruno A. Salazar Trujillo, Alejandro Elnecavé Olaiz, Miguel Á. González-Woge, Victoria Aragón Luna, Francisca S. Loreto, and Mauricio González-Navarro. "Electrophysiological Changes in Patients with Postoperative Cross-facial Nerve Graft in a Tertiary Care Center." Plastic and Reconstructive Surgery - Global Open 12, no. 7 (July 2024): e5973. http://dx.doi.org/10.1097/gox.0000000000005973.

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Background: Facial nerve palsy is a multifaceted pathology that causes facial disfigurement, affecting eye closure, speech articulation, oral competence, and emotional expression, with functional, aesthetic, and psychological consequences. Standardized electrophysiological tests, such as electroneurography and electromyography, allow an objective evaluation of the functional state of the nerve. Here, we aimed to compare and correlate clinical findings with electromyography in patients with facial nerve palsy, before and after facial nerve reanimation with cross-facial nerve grafts. Methods: Eight patients with traumatic or nontraumatic facial paralysis with complete clinical records who underwent surgical reanimation of facial nerve with cross nerve grafts. Results: The median time from diagnosis to treatment was 173 days (interquartile range = 222). Outcomes were evaluated using standard clinical scales (House-Brackmann, Sunnybrook, and eFACE) and electromyography. The median time for postoperative outcome evaluation was 768 days (interquartile range = 1053). A statistically significant difference was found between pre- and postoperative outcomes according to eFACE (Δ median = 13, P = 0.003), House-Brackmann (Δ median = −2, P = 0.008), and electromyography (Δ mean = 855, P = 0.005). A positive correlation between electromyography and clinical evaluation with eFACE was observed (r = 0.751, 95% confidence interval = 0.174–0.944, P = 0.019). Conclusions: Our results suggest that cross nerve grafts are associated with clinical and electromyographic improvement of the paralyzed face. Electromyography and eFACE scores validate the reliability of eFACE scale for measuring postoperative outcomes. We suggest postoperative electromyography as an objective measure of postoperative evaluation in patients with a delay in improvement at 6–9 months.

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7

Kohyama, Kaoru. "Electromyography." Nippon Shokuhin Kagaku Kogaku Kaishi 57, no. 6 (2010): 273. http://dx.doi.org/10.3136/nskkk.57.273.

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8

Rubin, Devon I. "Electromyography." Neurologic Clinics 39, no. 4 (November 2021): i. http://dx.doi.org/10.1016/s0733-8619(21)00089-x.

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9

Emly, M. S., L. D. Gilmore, and S. H. Roy. "Electromyography." IEEE Potentials 11, no. 2 (April 1992): 25–28. http://dx.doi.org/10.1109/45.127725.

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10

No??l, M., J. F. Doyon, P. Leblanc, F. Maltais, M. H. Leblanc, C. Simard, and J. Jobin. "ELECTROMYOGRAPHY." Medicine & Science in Sports & Exercise 34, no. 5 (May 2002): S180. http://dx.doi.org/10.1097/00005768-200205001-01005.

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11

Ku, Aubrey. "Electromyography." Archives of Physical Medicine and Rehabilitation 77, no. 2 (February 1996): 212. http://dx.doi.org/10.1016/s0003-9993(96)90172-0.

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12

VAIENTI, L., S. VOURTSIS, and V. URZOLA. "Compartment Syndrome of the Forearm Following an Electromyographic Assessment." Journal of Hand Surgery 30, no. 6 (December 2005): 656–57. http://dx.doi.org/10.1016/j.jhsb.2005.07.012.

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We present a case of compartment syndrome after electromyographic study of the upper limbs. The cause was the unintentional punction and laceration of the ulnar artery while the electromyography was being performed.

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13

HE, JINBAO, XINHUA YI, and ZAIFEI LUO. "CHARACTERIZATION OF MOTOR UNIT AT DIFFERENT STRENGTHS WITH MULTI-CHANNEL SURFACE ELECTROMYOGRAPHY." Journal of Mechanics in Medicine and Biology 17, no. 01 (February 2017): 1750024. http://dx.doi.org/10.1142/s0219519417500245.

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In this study, specific changes in electromyographic characteristics of individual motor units (MUs) associated with different muscle contraction forces are investigated using multi-channel surface electromyography (SEMG). The gradient convolution kernel compensation (GCKC) algorithm is employed to separate individual MUs from their surface interferential electromyography (EMG) signals and provide the discharge instants, which is later used in the spike-triggered averaging (STA) techniques to obtain the complete waveform. The method was tested on experimental SEMG signals acquired during constant force contractions of biceps brachii muscles in five subjects. Electromyographic characteristics including the recruitment number, waveform amplitude, discharge pattern and innervation zone (IZ) are studied. Results show that changes in the action potential of single MU with different contraction force levels are consistent with those for all MUs, and that the amplitude of MU action potentials (MUAPs) provides a useful estimate of the muscle contraction forces.

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14

Ehler, Edvard. "Needle electromyography." Neurologie pro praxi 21, no. 4 (September 8, 2020): 261–63. http://dx.doi.org/10.36290/neu.2020.014.

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15

Postma, Gregory N., and James A. Koufman. "Laryngeal electromyography." Current Opinion in Otolaryngology & Head and Neck Surgery 6, no. 6 (December 1998): 411–15. http://dx.doi.org/10.1097/00020840-199812000-00011.

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16

Sataloff, R. T., M. Abaza, S. Mandel, and Ramon Mañon-Espaillat. "Laryngeal electromyography." Current Opinion in Otolaryngology & Head and Neck Surgery 8, no. 6 (December 2000): 524–29. http://dx.doi.org/10.1097/00020840-200012000-00015.

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17

Braddom, Randall L. "Practical Electromyography." American Journal of Physical Medicine & Rehabilitation 76, no. 3 (May 1997): 241. http://dx.doi.org/10.1097/00002060-199705000-00016.

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18

Katirji, Bashar. "Practical Electromyography." Neurology 51, no. 2 (August 1998): 654.2–654—a. http://dx.doi.org/10.1212/wnl.51.2.654-a.

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19

Munin, Michael C., Thomas Murry, and Clark A. Rosen. "LARYNGEAL ELECTROMYOGRAPHY." Otolaryngologic Clinics of North America 33, no. 4 (August 2000): 759–70. http://dx.doi.org/10.1016/s0030-6665(05)70242-5.

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20

Preston, David C., and Barbara E. Shapiro. "Needle electromyography." Neurologic Clinics 20, no. 2 (May 2002): 361–96. http://dx.doi.org/10.1016/s0733-8619(01)00005-6.

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21

Katirji, Bashar. "Clinical Electromyography." Neurologic Clinics 20, no. 2 (May 2002): xi—xii. http://dx.doi.org/10.1016/s0733-8619(02)00004-x.

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22

Holland, Neil R. "Intraoperative Electromyography." Journal of Clinical Neurophysiology 19, no. 5 (October 2002): 444–53. http://dx.doi.org/10.1097/00004691-200210000-00007.

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23

Parnes, Steven M., Neil S. Lava, and Peter J. Koltai. "Laryngeal Electromyography." Otolaryngology–Head and Neck Surgery 112, no. 5 (May 1995): P109. http://dx.doi.org/10.1016/s0194-5998(05)80273-6.

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24

Elnaggar, Ragab K. "Integrated Electromyography." Pediatric Physical Therapy 32, no. 2 (April 2020): 120–28. http://dx.doi.org/10.1097/pep.0000000000000684.

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25

Heman-Ackah, Yolanda D., Steven Mandel, Ramon Manon-Espaillat, Mona M. Abaza, and Robert T. Sataloff. "Laryngeal Electromyography." Otolaryngologic Clinics of North America 40, no. 5 (October 2007): 1003–23. http://dx.doi.org/10.1016/j.otc.2007.05.007.

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26

Phongsamart, Gulapar, and Jacqueline J. Wertsch. "Quantitative electromyography." Physical Medicine and Rehabilitation Clinics of North America 14, no. 2 (May 2003): 231–41. http://dx.doi.org/10.1016/s1047-9651(02)00124-9.

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27

Cornblath, David R. "Clinical electromyography." Electroencephalography and Clinical Neurophysiology 102, no. 6 (June 1997): 517–18. http://dx.doi.org/10.1016/s0013-4694(97)84002-7.

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28

YILMAZ, UGUR, AHMET SOYLU, CEMAL OZCAN, and OZDEN CALISKAN. "CLITORAL ELECTROMYOGRAPHY." Journal of Urology 167, no. 2 Part 1 (February 2002): 616–20. http://dx.doi.org/10.1016/s0022-5347(01)69097-9.

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29

Schaefer, Steven D. "Laryngeal Electromyography." Otolaryngologic Clinics of North America 24, no. 5 (October 1991): 1053–57. http://dx.doi.org/10.1016/s0030-6665(20)31067-7.

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30

Hennessey, William J., Kurt Kuhlman, and Ernest W. Johnson. "Needle electromyography." Archives of Physical Medicine and Rehabilitation 76, no. 7 (July 1995): 701. http://dx.doi.org/10.1016/s0003-9993(95)80645-8.

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31

Matthews, Peter B. C. "Clinical electromyography." Neurochemistry International 13, no. 1 (January 1988): 131–32. http://dx.doi.org/10.1016/0197-0186(88)90113-1.

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32

Blair, R. L. "Laryngeal electromyography." Archives of Oto-Rhino-Laryngology 246, no. 5 (October 1989): 395–96. http://dx.doi.org/10.1007/bf00463604.

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33

Kerman, Karen, and Bhagwan Shahani. "Pediatric electromyography." Indian Journal of Pediatrics 57, no. 4 (July 1990): 469–79. http://dx.doi.org/10.1007/bf02726756.

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34

Mamoli, B. "Clinical electromyography." Electroencephalography and Clinical Neurophysiology 61, no. 6 (December 1985): 592. http://dx.doi.org/10.1016/0013-4694(85)90979-4.

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35

Katirji, M. B. "Clinical Electromyography." Neurology 38, no. 1 (January 1, 1988): 172. http://dx.doi.org/10.1212/wnl.38.1.172.

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36

Nakamura, Katsuhiko, Junji Koda, Naoya Takeda, Hironori Masuda, and Yasuo Koike. "Laryngeal Electromyography." Practica oto-rhino-laryngologica. Suppl. 1999, Supplement101 (1999): 7–13. http://dx.doi.org/10.5631/jibirinsuppl1986.1999.supplement101_7.

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37

Di�szeghy, Peter. "Scanning electromyography." Muscle & Nerve 999, S11 (2002): S66—S71. http://dx.doi.org/10.1002/mus.10150.

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38

Daube, Jasper R., and Devon I. Rubin. "Needle electromyography." Muscle & Nerve 39, no. 2 (February 2009): 244–70. http://dx.doi.org/10.1002/mus.21180.

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39

Johnson, Ernest. "Needle electromyography." Muscle & Nerve 40, no. 4 (August 24, 2009): 666. http://dx.doi.org/10.1002/mus.21415.

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40

Behman, H. M. "Clinical Electromyography." Archives of Neurology 53, no. 1 (January 1, 1996): 13. http://dx.doi.org/10.1001/archneur.1996.00550010019006.

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41

Izzo, Kenneth L., and Srinivas Aravabhumi. "Clinical Electromyography." Clinics in Podiatric Medicine and Surgery 7, no. 1 (January 1990): 179–94. http://dx.doi.org/10.1016/s0891-8422(23)00370-1.

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42

Zheng, Hua, Zengliang Cai, and Changqing Li. "Comparison of Electromyographic Characteristics of Volleyball Players in Stop-jumps: An Analysis at Different Speeds." International Journal Bioautomation 28, no. 2 (June 2024): 97–106. http://dx.doi.org/10.7546/ijba.2024.28.2.000979.

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The stop-jump is a crucial skill in volleyball, and analyzing its motion can greatly benefit the training of volleyball players. This paper analyzed 30 players from the volleyball team at Chongqing Normal University. To study the impact of running speed on lower limb muscle activity during stop-jumps, the players were randomly assigned the low-speed running group, the medium-speed running group, and the high-speed running group. Surface electromyography sensors were employed to collect electromyographic signals from the rectus femoris, vastus lateralis, and gastrocnemius muscles of the players during the execution of the stop-jump. The electromyographic indicators were calculated using the surface electromyography system’s built-in program, including the root-mean-square (RMS) electromyographic value and integral electromyographic (IEMG) value. The former represents the effective discharge value of motor units, which depends on the electromyographic amplitude and is related to the number of recruited motor units. The latter represents the discharge capacity of motor units involved in muscle activity per unit of time, reflecting the degree of muscle activation during exercise. Then, statistical analysis was performed on these calculated indicators using SPSS software. It was found that the stop-jump comprised three distinct stages: stop, jump, and flight. Regardless of the stage, the results indicated that the higher the speed of running, the greater the electromyographic indexes of the muscle groups. Additionally, when comparing electromyographic indexes across different stages, it was observed that the index values gradually decreased with the progression of each stage.

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43

Soderberg, Gary L., and Loretta M. Knutson. "A Guide for Use and Interpretation of Kinesiologic Electromyographic Data." Physical Therapy 80, no. 5 (May 1, 2000): 485–98. http://dx.doi.org/10.1093/ptj/80.5.485.

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Abstract Physical therapists are among the most common users of electromyography as a method for understanding function and dysfunction of the neuromuscular system. However, there is no collection of references or a source that provides an overview or synthesis of information that serves to guide either the user or the consumer of electromyography and the data derived. Thus, the purpose of this article is to present a guide, accompanied by an inclusive reference list, for the use and interpretation of kinesiologic electromyographic data. The guide is divided into 4 major sections: collecting, managing, normalizing, and analyzing kinesiologic electromyographic data. In the first of these sections, the issues affecting data collection with both indwelling and surface electrodes are discussed. In the second section, data management through alternative forms of data processing is addressed. In the third section, various reasons and procedures for data normalization are discussed. The last section reviews qualitative descriptors once used as the only means of analyzing data, then focuses on more quantitative procedures that predominate today. The guide is intended as a tool for students, educators, clinicians, and beginning researchers who use and interpret kinesiologic electromyographic data. Modifications will likely be needed as alternative forms of collecting, managing, normalizing, and analyzing electromyographic data are proposed, used in various settings, and reported in the literature.

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44

Lin, Lin, Lili Guan, Weiliang Wu, and Rongchang Chen. "Correlation of surface respiratory electromyography with esophageal diaphragm electromyography." Respiratory Physiology & Neurobiology 259 (January 2019): 45–52. http://dx.doi.org/10.1016/j.resp.2018.07.004.

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45

Chabanov, P. V. "Electromyographic monitoring of the effectiveness of complex treatment of patients with hyperactive bladder and hypokinetic tone detrusora and combined neurogenic pathology of the distal colon." HEALTH OF WOMAN, no. 6(122) (July 30, 2017): 78–80. http://dx.doi.org/10.15574/hw.2017.122.78.

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The objective: was to increase the effectiveness of treatment of patients with a hyperactive bladder and hypokinetic tone of detrusor (muscle – urine ejector) and combined neurogenic pathology of the distal colon. Materials and methods. Complex diagnostics and conservative treatment of patients with hyperactive bladder and hypokinetic tone of detrusor and combined pathology of the distal colon were performed in 36 (53%) women and 32 (47%) men. The average age of women was 43.4±2.1 years, men – 39.8± .9 years. The duration of the disease in women was 19.7±1.5 months, in men – 22.4±1.8 months. Efficacy was assessed by electromyography. Results. It has been established that electromyography reflects the functional state of the urinary tract and distal parts of the colon at their combined pathology. Conservative treatment of patients of this category with the help of stimulation by electro stimulation was effective. Conclusion. Complex conservative treatment of patients with a hyperactive bladder and hypotonic tonus detrusor and combined pathology of the distal colon is effective, which is confirmed by electromyographic control according to the results of treatment. Key words: neurogenic disorders of urination, detrusor, electromyography.

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46

Erdoğan, Çağdas, Eylem Değirmenci, and Levent Sinan Bir. "Transient electromyographic findings in serotonergic toxicity due to combination of essitalopram and isoniazid." Journal of Neurosciences in Rural Practice 04, no. 01 (January 2013): 57–58. http://dx.doi.org/10.4103/0976-3147.105616.

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ABSTRACTHere, we report a case of serotonergic toxicity due to combination of essitalopram and isoniazid, which was rarely reported before. Moreover, we observed transient neurogenic denervation potentials in needle electromyography, which disappeared with the treatment of serotonergic toxicity. As to our best knowledge, this is the first case, reporting transient electromyographic changes probably due to serotonergic toxicity.

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47

Rosenthal, Ronald. "The Promise and the Limits of Biofeedback-Assisted Rehabilitation Following Stroke." Biofeedback 38, no. 2 (June 1, 2010): 73–77. http://dx.doi.org/10.5298/1081-5937-38.2.73.

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Abstract Surface electromyography for the treatment of stroke patients has fallen into disfavor in recent years. This paper reviews some of the history of electromyographic biofeedback for stroke and discusses some of the factors contributing to its decline. Data from a stroke patient are presented to illustrate some of the difficulties in working with this population.

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48

Elfira, Eqlima, Bina Melvia Girsang, and Nurbaiti Nurbaiti. "Application of Digital Electromyography Portable (DEP) In Arduino Uno Based Progressive Muscle Relaxation (PMR) Exercise in The Elderly." EDUTEC : Journal of Education And Technology 5, no. 3 (March 30, 2022): 805–16. http://dx.doi.org/10.29062/edu.v5i3.264.

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Progressive muscle relaxation exercise is an intervention carried out to train muscles to regularly move maximally. Technological developments in the 4.0 era made changes so that the elderly knew that the application of portable digital electromyography could be done at home. Muscular strength is the amount of force a muscle can produce with maximum effort. An electromyograph is used as an interrogator by measuring the sensory activity of the elderly muscles. Teacher performance in education is very important. There are several factors that influence teacher performance, namely factors from work motivation and work discipline. The purpose of this study was to determine the level of accuracy of the application of digital electromyography in the elderly. This research was conducted on 30 elderly who are in environment III, Medan Sunggal sub-district with a quasi-experimental research design with a pretest-postest design. The method used in this study is to use a questionnaire level of sophistication and weighting of technological components in the instrument. The analytical method used in this research is descriptive statistical analysis method. Based on data analysis in this study, the results showed that there were significant differences in the accuracy of the application of portable digital electromyography in the elderly with a value of r count = 0.453 r table = 0.44.

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Neto, José Lopes Tabatinga, Gabriela Ejima Mie Basso, David Nunes de Lima, Eduardo Soares Ferreira, Denisse Sales Paula, Antônio Miguel Furtado Leitão, Antonio Brazil Viana, Florian Patrick Thomas, and Francisco de Assis Aquino Gondim. "A web-based survey to map the electromyography practice in Brazil." Arquivos de Neuro-Psiquiatria 81, no. 11 (November 2023): 949–55. http://dx.doi.org/10.1055/s-0043-1777007.

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Abstract Background Detailed information about the electromyography practice in Brazil is largely unavailable. Objective To evaluate where and how electromyography is performed in Brazil, as well as regional disparities and the professional and academic credentials of electromyographers. Methods We conducted an internet-based survey of active Brazilian electromyographers. The websites of health insurance companies, professional academies, medical cooperatives, online search engines, and social networks in each Brazilian state were screened and we evaluated the credentials of each electromyographer listed in the Brazilian Federal Medical Board (BFMB) registration website and their online curricula vitae in the Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, in Portuguese). We also evaluated the same parameters in a control group of non-electromyographer neurologists randomly matched by geographical distribution and gender. Results We found 469 electromyographers (384 neurologists and 85 non-neurologists), with a male predominance. In total, 81.9% were BFMB-certified neurologists, 49.9%, BFMB-certified clinical neurophysiologists, and 10.4%, BFMB-certified physiatrists. Among the non-neurologists, 48.2% were physiatrists. Most electromyographers practiced in states on the Southern and Southeastern regions of Brazil. When adjusted by population, the Federal District and the states of Mato Grosso do Sul and Goiás presented the highest of eletromyographers density. Electromyographers were not more likely to have current/past academic affiliations. Conclusion In Brazil, electromyography is performed predominantly by neurologists, and half of them are BFMB-certified clinical neurophysiologists. The present study highlights regional disparities and may guide government-based initiatives, for instance, to improve the diagnosis of leprosy and the management of neuromuscular disorders within the Brazilian territory.

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Kiruthika, K., S. Nishanthi, A. Rahul, and K. Senathipathi. "Electromyography in MachineLearning." Journal of Physics: Conference Series 1916, no. 1 (May 1, 2021): 012057. http://dx.doi.org/10.1088/1742-6596/1916/1/012057.

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