An adaptive multi sensor data fusion with hybrid nonlinear ARX and Wiener-Hammerstein models for skeletal muscle force estimation

Parmod Kumar, Chandrasekhar Potluri, Anish Sebastian, Steve Chiu, Alex Urfer, D. Subbaram Naidu, Marco P. Schoen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Skeletal muscle force can be estimated using surface electromyographic (sEMG) signals. Usually, the sEMG location for the sensors is near the respective muscle motor unit points. Skeletal muscles generate a temporal and spatial distributed EMG signal, which causes cross talk between different sEMG signal sensors. In this paper, an array of three sEMG sensors is used to capture the information of muscle dynamics in terms of sEMG signals and generated muscle force. The recorded sEMG signals are filtered utilizing optimized nonlinear Half-Gaussian Bayesian filter, and a Chebyshev type-II filter prepares the muscle force signal. The filter optimization is accomplished using Genetic Algorithm (GA). Multi nonlinear Auto Regressive eXogenous (ARX) and Wiener-Hammerstein models with different nonlinearity estimators/classes are obtained using system identification (SI) for three sets of sensor data. The outputs of these models are fused with a probabilistic Kullback Information Criterion (KIC) for model selection and an adaptive probability of KIC. First, the outputs are fused for the same sensor and for different models and then the final outputs from each sensor. The final fusion based output of three sensors provides good skeletal muscle force estimates.

Original languageEnglish (US)
Title of host publicationLatest Trends on Systems International Conference on Systems - 14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference
Pages186-191
Number of pages6
StatePublished - Dec 1 2010
Externally publishedYes
Event14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference - Corfu Island, Greece
Duration: Jul 22 2010Jul 24 2010

Publication series

NameInternational Conference on Systems - Proceedings
Volume1

Conference

Conference14th WSEAS International Conference on Systems, Part of the 14th WSEAS CSCC Multiconference
CountryGreece
CityCorfu Island
Period7/22/107/24/10

Keywords

  • ARX
  • GA
  • KIC
  • SEMG
  • SI
  • Weiner-Hammerstein

Fingerprint Dive into the research topics of 'An adaptive multi sensor data fusion with hybrid nonlinear ARX and Wiener-Hammerstein models for skeletal muscle force estimation'. Together they form a unique fingerprint.

Cite this