http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Drishti Yadav (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Recent trends and challenges of surface electromyography in prosthetic applications
Drishti Yadav,Karan Veer 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.3
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in the current period. The effectivenessof sEMG in prosthesis applications has been verified by numerous revolutionary developments and extensive researchattempts. A large volume of research and literature works have explored and validated the vast use of these signals in prosthesesas an assistive technology. The objective of this paper is to conduct a systematic review and offer a detailed overviewof the work record in the prosthesis and myoelectric interfaces framework. This review utilized a systematic search strategyto identify published articles discussing the state-of-the-art applications of sEMG in prostheses (including upper limbprosthesis and lower limb prostheses). Relevant studies were identified using electronic databases such as PubMed, IEEEExplore, SCOPUS, ScienceDirect, Google Scholar and Web of Science. Out of 3791 studies retrieved from the databases,188 articles were found to be potentially relevant (after screening of abstracts and application of inclusion–exclusion criteria)and included in this review. This review presents an investigative analysis of sEMG-based prosthetic applications to assist thereaders in making further advancements in this field. It also discusses the fundamental advantages and disadvantages of usingsEMG in prosthetic applications. It also includes some important guidelines to follow in order to improve the performanceof sEMG-based prosthesis. The findings of this study support the widespread use of sEMG in prosthetics. It is concludedthat sEMG-based prosthesis technology, still in its sprouting phase, requires significant explorations for further development. Supplementary investigations are necessary in the direction of making a seamless mechanism of biomechatronics forsEMG-based prosthesis by cohesive efforts of robotic researchers and biomedical engineers.
-
Drishti Yadav,Saurav Kumar,Om Prakash Verma,Nikhil Pachauri,Varun Sharma 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.5
This article presents the approximate solution of non-linear dynamic energy model of multiple effect evaporator (MEE) using Fourier series and metaheuristics. The dynamic model of MEE involves first-order simultaneous ordinary differential equations (SODEs). Prior to solving the dynamic model, the non-linear steady-state model is solved to obtain the optimum steady-state process parameters. These process parameters serve as the initial conditions (constraints) for the SODEs. The SODEs are exemplified as an optimization problem by the weighted residual function to produce their approximate solutions. The optimization task is to find the best estimates of unknown coefficients in the Fourier series expansion using two preeminent metaheuristic approaches: Particle swarm optimization and harmony search. Besides, the influence of the number of approximation terms in Fourier series expansion on the accuracy of the approximate solutions has been investigated. The solution of the dynamic model assists in the investigation of open-loop dynamics of the MEE. Moreover, the acquired results may assist in designing suitable controllers to ensure energy-efficient performance of MEE and to monitor the product quality. The optimization results reveal that both the metaheuristic approaches offer minimum violation of the constraints and, therefore, validate their efficiency in solving such complex non-linear energy models.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
