دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش سی و ششم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

این نوشته حاوی بخشی از مجموعه کامل مقالات است. برای دریافت سایر بخش ها، به لینک زیر مراجعه نمایید:

دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله Artificial Adaptive Systems and predictive medicine: a revolutionary paradigm shift
نوع مقاله مقاله ژورنال
نویسندگان Enzo Grossi
چکیده / توضیح An individual patient is not the average representative of the population. Rather he or she is a person with unique characteristics. An intervention may be effective for a population but not necessarily for the individual patient. The recommendation of a guideline may not be right for a particular patient because it is not what he or she wants, and implementing the recommendation will not necessarily mean a favourable outcome.
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عنوان اصلی مقاله Effect of diabetic neuropathy severity classified by a fuzzy model in muscle dynamics during gait
نوع مقاله مقاله ژورنال
نویسندگان Ricky Watari, Cristina D Sartor, Andreja P Picon, Marco K Butugan, Cesar F Amorim, Neli RS Ortega, Isabel CN Sacco
چکیده / توضیح Electromyography (EMG) alterations during gait, supposedly caused by diabetic sensorimotor polyneuropathy, are subtle and still inconsistent, due to difficulties in defining homogeneous experimental groups with a clear definition of disease stages. Since evaluating these patients involve many uncertainties, the use of a fuzzy model could enable a better discrimination among different stages of diabetic polyneuropathy and lead to a clarification of when changes in muscle activation start occurring. The aim of this study was to investigate EMG patterns during gait in diabetic individuals with different stages of DSP severity, classified by a fuzzy system.
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عنوان اصلی مقاله A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants
نوع مقاله مقاله ژورنال
نویسندگان Yu Wang, Jack M Winters
چکیده / توضیح Intelligent management of wearable applications in rehabilitation requires an understanding of the current context, which is constantly changing over the rehabilitation process because of changes in the person's status and environment. This paper presents a dynamic recurrent neuro-fuzzy system that implements expert-and evidence-based reasoning. It is intended to provide context-awareness for wearable intelligent agents/assistants (WIAs).
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عنوان اصلی مقاله A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
نوع مقاله مقاله ژورنال
نویسندگان Emil Jovanov, Aleksandar Milenkovic, Chris Otto, Piet C de Groen
چکیده / توضیح Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body Area Network (WBAN), a new enabling technology for health monitoring.
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عنوان اصلی مقاله Recent developments in biofeedback for neuromotor rehabilitation
نوع مقاله مقاله ژورنال
نویسندگان He Huang, Steven L Wolf, Jiping He
چکیده / توضیح The original use of biofeedback to train single muscle activity in static positions or movement unrelated to function did not correlate well to motor function improvements in patients with central nervous system injuries. The concept of task-oriented repetitive training suggests that biofeedback therapy should be delivered during functionally related dynamic movement to optimize motor function improvement. Current, advanced technologies facilitate the design of novel biofeedback systems that possess diverse parameters, advanced cue display, and sophisticated control systems for use in task-oriented biofeedback. In light of these advancements, this article: (1) reviews early biofeedback studies and their conclusions; (2) presents recent developments in biofeedback technologies and their applications to task-oriented biofeedback interventions; and (3) discusses considerations regarding the therapeutic system design and the clinical application of task-oriented biofeedback therapy. This review should provide a framework to further broaden the application of task-oriented biofeedback therapy in neuromotor rehabilitation.
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عنوان اصلی مقاله Use of information entropy measures of sitting postural sway to quantify developmental delay in infants
نوع مقاله مقاله ژورنال
نویسندگان Joan E Deffeyes, Regina T Harbourne, Stacey L DeJong, Anastasia Kyvelidou, Wayne A Stuberg, Nicholas Stergiou
چکیده / توضیح By quantifying the information entropy of postural sway data, the complexity of the postural movement of different populations can be assessed, giving insight into pathologic motor control functioning.
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عنوان اصلی مقاله Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
نوع مقاله مقاله ژورنال
نویسندگان Girijesh Prasad, Pawel Herman, Damien Coyle, Suzanne McDonough, Jacqueline Crosbie
چکیده / توضیح There is now sufficient evidence that using a rehabilitation protocol involving motor imagery (MI) practice in conjunction with physical practice (PP) of goal-directed rehabilitation tasks leads to enhanced functional recovery of paralyzed limbs among stroke sufferers. It is however difficult to confirm patient engagement during an MI in the absence of any on-line measure. Fortunately an EEG-based brain-computer interface (BCI) can provide an on-line measure of MI activity as a neurofeedback for the BCI user to help him/her focus better on the MI task. However initial performance of novice BCI users may be quite moderate and may cause frustration. This paper reports a pilot study in which a BCI system is used to provide a computer game-based neurofeedback to stroke participants during the MI part of a protocol.
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عنوان اصلی مقاله The development of an adaptive upper-limb stroke rehabilitation robotic system
نوع مقاله مقاله ژورنال
نویسندگان Patricia Kan, Rajibul Huq, Jesse Hoey, Robby Goetschalckx, Alex Mihailidis
چکیده / توضیح Stroke is the primary cause of adult disability. To support this large population in recovery, robotic technologies are being developed to assist in the delivery of rehabilitation. This paper presents an automated system for a rehabilitation robotic device that guides stroke patients through an upper-limb reaching task. The system uses a decision theoretic model (a partially observable Markov decision process, or POMDP) as its primary engine for decision making. The POMDP allows the system to automatically modify exercise parameters to account for the specific needs and abilities of different individuals, and to use these parameters to take appropriate decisions about stroke rehabilitation exercises.
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عنوان اصلی مقاله Wireless distributed functional electrical stimulation system
نوع مقاله مقاله ژورنال
نویسندگان Nenad S Jovičić, Lazar V Saranovac, Dejan B Popović
چکیده / توضیح The control of movement in humans is hierarchical and distributed and uses feedback. An assistive system could be best integrated into the therapy of a human with a central nervous system lesion if the system is controlled in a similar manner. Here, we present a novel wireless architecture and routing protocol for a distributed functional electrical stimulation system that enables control of movement.
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عنوان اصلی مقاله Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees
نوع مقاله مقاله ژورنال
نویسندگان Yanjuan Geng, Ping Zhou, Guanglin Li
چکیده / توضیح Electromyography (EMG) pattern-recognition based control strategies for multifunctional myoelectric prosthesis systems have been studied commonly in a controlled laboratory setting. Before these myoelectric prosthesis systems are clinically viable, it will be necessary to assess the effect of some disparities between the ideal laboratory setting and practical use on the control performance. One important obstacle is the impact of arm position variation that causes the changes of EMG pattern when performing identical motions in different arm positions. This study aimed to investigate the impacts of arm position variation on EMG pattern-recognition based motion classification in upper-limb amputees and the solutions for reducing these impacts.
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