To achieve an effective and safe operation on the machine system where the human interacts with the machine mutually, there is a need for the machine to understand the human state, especially cognitive state, when the human’s operation task demands an intensive cognitive activity. Due to a well-known fact with the human being, a highly uncertain cognitive state and behavior as well as expressio...

Type-2 fuzzy logic systems are an area of growing interest over the last years. The ability to model uncertainties and to perform under noisy conditions in a better way than type-1 fuzzy logic systems increases their applicability. A new stable on-line learning algorithm for interval type-2 Takagi–Sugeno–Kang (TSK) fuzzy neural networks is proposed in this paper. Differently from the other rece...

The anterior commissure (AC) is one of the important commissure projections in the brain that conveys information from one side of the nervous system to the other. During development, the axons from the anterior AC (aAC) and the posterior AC (pAC) course in the same dorsoventral plane and converge into a common fascicle for midline crossing. Previously, we reported that Tsukushi (TSK), a member...

Swinkels-Meewisse et al. (2003) examined some of the psychometric properties of both the Dutch Tampa Scale for Kinesiophobia (TSK-DV) and the Fear-Avoidance Beliefs Questionnaire (FABQ) in acute low back pain patients. We congratulate the authors for their work; early identification of acute (low back) pain patients at risk of becoming chronic may be of prime importance to reduce both economic ...

This paper presents a new approach of achieving inverse model control (IMC) of nonlinear plants with TaSe Takagi-Sugeno-Kang (TSK) fuzzy system. The inverse control law, designed for the control of nonlinear plant dynamics, is derived directly based on approximate model method and it is implemented using TaSe TSK fuzzy system modeling. The robust stability of the IMC is analyzed using Lyapunov ...

This study suggests new learning laws for Adaptive Network based Fuzzy Inference System that is structured on the basis of TSK type III as a system identifier. Stable learning algorithms for consequence parts of TSK type III rules are proposed on the basis of the Lyapunov stability theory and some constraints are obtained. Simulation results are given to validate the results. It is shown that i...

Background: Kinesiophobia can be an obstacle to physical and motor activity in patients with Parkinson’s disease (PD). PD affects patients’ independence carrying out daily activities. It also impacts a patient’s biopsychosocial well-being. The objective of this study was analyze the levels scores kinesiophobia compare them healthy volunteers. Methods: We deployed case-control recruited 124 subj...

Abstract Funding Acknowledgements Type of funding sources: None. Background An important factor related to low physical activity in cardiac patients is fear movement (kinesiophobia). The setting rehabilitation (CR) seems suitable for targeting kinesiophobia. Nevertheless, the impact CR on kinesiophobia currently unknown, partly due absence information responsiveness instruments measure Purpose ...

Objective The aim of this study is to determine the presence kinesiophobia in patients with ankylosing spondylitis (AS) and examine factors affecting kinesiophobia. Materials methods Sixty AS participated study. Kinesiophobia was evaluated using Tampa Scale for (TSK). Disease activity assessed Bath Activity Index (BASDAI) Score C-reactive protein (ASDAS-CRP), functional status Functional (BASFI...