Dynamic muscles recruitment patterns during gait using high-density EMG of diabetic patients in different severity degrees classified by a fuzzy system

• Grant number: 13/06123-7
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: June 01, 2013
• End date: May 31, 2017
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Isabel de Camargo Neves Sacco
• Grantee: Eneida Yuri Suda
• Host Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated scholarship(s): 15/00214-6 - Complexity of motor control in different motor tasks and populations, BE.EP.DR

Abstract

Many studies have described gait alterations in individuals with diabetic neuropathy that change the classic stereotyped normal gait. However, the knowledge of biomechanical causes oh this altered pattern remains insufficient. Besides that, previous studies that have investigated the gait biomechanics of diabetic patients had not distinguished the progressive degrees of the neuropathy in the studied groups. So, the identification of differences in gait alterations patterns between earlier and more advanced stages of the disease is not possible. The present study considers that the presence of neuropathy is a sign that the diabetic disease is advancing and that the progression of the neuropathy causes modifications on control strategies of gait that evolve with the disease and might be related to intrinsic biomechanical factors that affect the locomotor efficiency. The electromyographic patterns of diabetic individuals with neuropathy will be interpreted by the means of time and magnitude domain analysis and complexity analysis (entropy). The conduction velocity, magnitude of activation and entropy will be identified in different instants of gait stance phase. Our theses are (I) the use of Fuzzy expert model will enable a better distinction among different stages of diabetic sensorimotor polyneuropathy, and differences in muscle activity could be elucidated with this classification; (II) in most severe disease stages the differences in muscle activity will be accentuated. (AU)

Scientific publications

(5)

(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)

SACCO, ISABEL C. N.; SUDA, ENEIDA YURI; VIGNERON, VINCENT; SARTOR, CRISTINA DALLEMOLE. An `Importance' Map of Signs and Symptoms to Classify Diabetic Polyneuropathy: An Exploratory Data Analysis. PLoS One, v. 10, n. 6, JUN 15 2015. (13/06123-7, 11/19304-4)

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. (13/20813-6, 13/06123-7, 11/15770-0)

SACCO, ISABEL C. N.; SUDA, ENEIDA YURI; VIGNERON, VINCENT; SARTOR, CRISTINA DALLEMOLE. An 'Importance' Map of Signs and Symptoms to Classify Diabetic Polyneuropathy: An Exploratory Data Analysis. PLoS One, v. 10, n. 6, p. 16-pg., 2015-06-15. (13/06123-7, 11/19304-4)

SUDA, E. Y.; MADELEINE, P.; HIRATA, R. P.; SAMANI, A.; KAWAMURA, T. T.; SACCO, I. C. N.. Reduced complexity of force and muscle activity during low level isometric contractions of the ankle in diabetic individuals. CLINICAL BIOMECHANICS, v. 42, p. 38-46, FEB 2017. (13/05580-5, 13/06123-7, 15/00214-6)

SUDA, ENEIDA Y.; SACCO, ISABEL C. N.; HIRATA, ROGERIO P.; SAMANI, AFSHIN; KAWAMURA, THIAGO T.; MADELEINE, PASCAL. LATER STAGES OF DIABETIC NEUROPATHY AFFECT THE COMPLEXITY OF THE NEUROMUSCULAR SYSTEM AT THE KNEE DURING LOW-LEVEL ISOMETRIC CONTRACTIONS. MUSCLE & NERVE, v. 57, n. 1, p. 112-121, JAN 2018. (13/05580-5, 13/06123-7, 15/00214-6)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SUDA, Eneida Yuri. Dynamic patterns of muscular recruitment obtained by high-density EMG from diabetic subjects with different neuropathy degrees classified by a fuzzy-linguistic model. 2017. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Medicina (FM/SBD) São Paulo.