Journal Article10.1016/J.ARTMED.2014.05.002
Advanced portable remote monitoring system for the regulation of treadmill running exercises.
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TL;DR: The developed system can automatically adapt to various individual exercisers and a range of exercise intensity and achieves better heart rate tracking performance under inter- and intra-model uncertainty and external disturbances.
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About: This article is published in Artificial Intelligence in Medicine. The article was published on 01 Jun 2014. The article focuses on the topics: Control theory.
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Citations
Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review.
TL;DR: An up-to-date, comprehensive map of the literature discussing the use of mobile phone and Web 2.0 apps for influencing behaviors related to weight management is provided to understand which technological components and features are likely to result in effective interventions.
Apps en neurorrehabilitación. Una revisión sistemática de aplicaciones móviles
TL;DR: Agarwal et al. as mentioned in this paper realizar una revision sistematica acerca de la información publicada sobre apps enfocadas al campo de la neurorrehabilitación, con el fin of clasificarlas and llevar a cabo una descripcion de las principales caracteristicas de las mismas.
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Neurorehabilitation and apps: A systematic review of mobile applications ☆
TL;DR: There are numerous applications with potential for use in the field of neurorehabilitation, so it is important that developers and designers understand the needs of people with neurological disorders so that their products will be valid and effective in light of those needs.
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Feedback control of heart rate during outdoor running: A smartphone implementation
TL;DR: High-accuracy feedback control of heart rate during outdoor running using smartphone technology is deemed feasible and suggests that the system might be applicable for accurate achievement of prescribed exercise intensity for development and maintenance of cardiorespiratory fitness.
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An advanced control strategy of an electrical — Powered hospital bed
Huy Hoang Nguyen,Tuan Nguyen,Raymont Clout,Hung T. Nguyen +3 more
- 06 Nov 2014
TL;DR: Compared to the conventional control method, real-time experimental results showed that the proposed multivariable control technique achieved better performance and confirmed that desirable system performance was guaranteed under system uncertainty conditions.
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Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems
Shi-Lu Dai,Cong Wang,Min Wang +2 more
TL;DR: An NN learning control design technique that effectively exploits the learned knowledge without re-adapting to the controller parameters is proposed to achieve closed-loop stability and improved control performance.
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Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
TL;DR: The simulation results show that the control scheme with the proposed SMC-theory-based learning algorithm is able to not only eliminate the steady-state error but also improve the transient response performance of the spherical rolling robot without knowing its dynamic equations.
Joint angle control by FES using a feedback error learning controller
Kenji Kurosawa,Ryoko Futami,Takashi Watanabe,Nozomu Hoshimiya +3 more
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TL;DR: The feedback error learning scheme was studied for a functional electrical stimulation (FES) controller and showed that the FEL controller functioned as expected and performed better than the conventional PID controller adjusted by the Chien, Hrones and Reswick method for a fast movement.
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•Proceedings Article
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
Erkan Kayacan,Erdal Kayacan,Herman Ramon,Wouter Saeys +3 more
- 01 Feb 2013
TL;DR: In this article, a sliding-mode control (SMC)-theory-based learning algorithm is proposed for the control of a spherical rolling robot by using an adaptive neuro-fuzzy controller in combination with a conventional controller.
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