Model identification for a human postural control study

• Grant number: 11/21103-7
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2012
• End date: February 29, 2016
• Field of knowledge: Engineering - Biomedical Engineering - Bioengineering
• Principal Investigator: André Fábio Kohn
• Grantee: Renato Naville Watanabe
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Mathematical models described in the literature for the study of human postural control can be very complex, using detailed models for muscular and neural elements. On the other extreme, they can be relatively simple, using blocks whose parameters generally do not have a unique physiological interpretation. The main goal of the proposed research is to develop a model M2 with an intermediate level of detail, between the two extremes mentioned above, but based on a model M1 (being developed in our laboratory) which features a high level of biological realism and detail. Various techniques of system identification shall be evaluated, which, combined with knowledge of neuromuscular physiology and anatomy, should lead to the desired model M2. The intended application for the new model is to study the mechanisms that underlie the experimental results obtained from the literature of human beings standing on a horizontal platform or a platform tilted up or down. The experimental results suggest that different mechanisms are at work in each case (three angles of the platform), but the experiments do not allow a conclusion to be reached on which mechanisms are acting in each case and neither the quantitative aspects associated with them. The studies with the new model to be developed should provide information about the main mechanisms involved and thus advance knowledge on the human neuromuscular system.

Scientific publications

(6)

(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)

ELIAS, LEONARDO ABDALA; WATANABE, RENATO NAVILLE; KOHN, ANDRE FABIO. Spinal Mechanisms May Provide a Combination of Intermittent and Continuous Control of Human Posture: Predictions from a Biologically Based Neuromusculoskeletal Model. PLOS COMPUTATIONAL BIOLOGY, v. 10, n. 11, NOV 2014. (11/21103-7, 09/15802-0)

WATANABE, RENATO NAVILLE; KOHN, ANDRE FABIO. Nonlinear Frequency-Domain Analysis of the Transformation of Cortical Inputs by a Motoneuron Pool-Muscle Complex. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v. 25, n. 11, p. 1930-1939, NOV 2017. (15/21819-3, 11/17193-0, 11/21103-7)

WATANABE, RENATO N.; KOHN, ANDRE F.; IEEE. System identification of a motor unit pool using a realistic neuromusculoskeletal model. 2014 5TH IEEE RAS & EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), v. N/A, p. 6-pg., 2014-01-01. (11/21103-7, 11/17193-0)

ELIAS, LEONARDO ABDALA; WATANABE, RENATO NAVILLE; KOHN, ANDRE FABIO. Spinal Mechanisms May Provide a Combination of Intermittent and Continuous Control of Human Posture: Predictions from a Biologically Based Neuromusculoskeletal Model. PLOS COMPUTATIONAL BIOLOGY, v. 10, n. 11, p. 18-pg., 2014-11-01. (09/15802-0, 11/21103-7)

WATANABE, RENATO N.; MAGALHAES, FERNANDO H.; ELIAS, LEONARDO A.; CHAUD, VITOR M.; MELLO, EMANUELE M.; KOHN, ANDRE F.. Influences of premotoneuronal command statistics on the scaling of motor output variability during isometric plantar flexion. Journal of Neurophysiology, v. 110, n. 11, p. 2592-2606, DEC 2013. (10/12934-0, 13/10433-1, 11/21103-7, 11/13222-6, 09/15802-0)

WATANABE, RENATO N.; KOHN, ANDRE F.. Fast Oscillatory Commands from the Motor Cortex Can Be Decoded by the Spinal Cord for Force Control. JOURNAL OF NEUROSCIENCE, v. 35, n. 40, p. 13687-13697, OCT 7 2015. (11/21103-7)

Academic Publications

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

WATANABE, Renato Naville. System identification for studying motor control.. 2016. Doctoral Thesis - Universidade de São Paulo (USP). Escola Politécnica (EP/BC) São Paulo.