Influence of diabetes progression on dynamic recruitment patterns of muscular fibers analyzed through high density electromyography

• Grant number: 11/15770-0
• Support type: Scholarships in Brazil - Master
• Effective date (Start): March 01, 2012
• Effective date (End): February 28, 2014
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal researcher: Isabel de Camargo Neves Sacco
• Grantee: Marco Kenji Butugan
• Home Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Context: Diabetes affects a large part the world´s population. One of its most frequent complications, diabetic neuropathy provokes significant deterioration in quality of life for those afflicted by this condition, that can lead to foot ulceration and frequently demanding amputation. Gait analysis for these individuals reveals biomechanical differences that in turn cause high plantar pressures, increasing the incidence of ulceration. Even though, the causes that lead to these biomechanical changes are still unclear. The in depth study of muscular activity can define how the progression of diabetic neuropathy affects electrical activity in several points of the muscle, determining recruitment patterns and allowing the measurement of muscle fiber conduction velocity in dynamic conditions.Objectives: To evaluate the muscle fiber conduction velocity (CV), mean spectral frequency (MNF) and electromyographic signal envelope (RMSE) of non-diabetic and diabetic individuals with different neuropathy severity during the whole gait cycle.Methods: 90 subjects will be participating in the study, which will be allocated according to a fuzzy classification model that was developed in the laboratory. The electromyographic signal will be acquired for the tibialis anterior, grastrocnemius medialis, vastus lateralis and biceps femoris through linear matrices of four electrodes. Synchronized kinematic and ground reaction force data will be used to determine gait phases in the trial. VC, MNF and RMSE values will be observed in various parts of the gait cycle. Intergroup analysis will be evaluated through an one-way ANOVA after normality of the data is confirmed.

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SUDA, ENEIDA YURI; GOMES, ALINE A.; BUTUGAN, MARCO KENJI; SACCO, ISABEL C. N. Muscle fiber conduction velocity in different gait phases of early and late-stage diabetic neuropathy. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, v. 30, p. 263-271, OCT 2016. Web of Science Citations: 5.

SACCO, ISABEL C. N.; PICON, ANDREJA P.; MACEDO, DIEGO OLIVEIRA; BUTUGAN, MARCOS KENJI; WATARI, RICKY; SARTOR, CRISTINA D. Alterations in the Lower Limb Joint Moments Precede the Peripheral Neuropathy Diagnosis in Diabetes Patients. DIABETES TECHNOLOGY & THERAPEUTICS, v. 17, n. 6, p. 405-412, JUN 1 2015. Web of Science Citations: 10.

BUTUGAN, MARCO K.; SARTOR, CRISTINA D.; WATARI, RICKY; MARTINS, MARIA CECILIA S.; ORTEGA, NELI R. S.; VIGNERON, VINCENT A. M.; SACCO, ISABEL C. N. Multichannel EMG-based estimation of fiber conduction velocity during isometric contraction of patients with different stages of diabetic neuropathy. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, v. 24, n. 4, p. 465-472, AUG 2014. Web of Science Citations: 10.

WATARI, RICKY; SARTOR, CRISTINA D.; PICON, ANDREJA P.; BUTUGAN, MARCO K.; AMORIM, CESAR F.; ORTEGA, NELI R. S.; SACCO, ISABEL C. N. Effect of diabetic neuropathy severity classified by a fuzzy model in muscle dynamics during gait. JOURNAL OF NEUROENGINEERING AND REHABILITATION, v. 11, FEB 8 2014. Web of Science Citations: 16.