پوشش سیگنال الکترونیکی الکترومیوگرافی
ترجمه نشده

پوشش سیگنال الکترونیکی الکترومیوگرافی

عنوان فارسی مقاله: پوشش سیگنال الکترونیکی الکترومیوگرافی مبتنی بر تقسیم بندی دوتایی
عنوان انگلیسی مقاله: Novel electromyography signal envelopes based on binary segmentation
مجله/کنفرانس: پردازش و کنترل سیگنال های بیومدیکال – Biomedical Signal Processing and Control
رشته های تحصیلی مرتبط: مهندسی پزشکی
گرایش های تحصیلی مرتبط: بیوالکتریک
کلمات کلیدی فارسی: سیگنال الکترومیوگرافی، پوشش، تقسیم بندی دودویی، تغییر نقطه
کلمات کلیدی انگلیسی: Electromyography signal, Envelope, Binary segmentation, Change-points
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journal List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.bspc.2018.05.026
دانشگاه: Universidad Autónoma de Aguascalientes – Avenida Universidad – Mexico
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 3.383 در سال 2017
شاخص H_index: 41 در سال 2019
شاخص SJR: 0.723 در سال 2017
شناسه ISSN: 1746-8094
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 12
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
کد محصول: E8325
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Mathematical model


3- Methodology


4- Results


5- Conclusions


Acknowledgements


References

نمونه متن انگلیسی مقاله

Abstract


In this work, we introduce two novel methodologies to compute the envelope of superficial electromyography signals. Our methods are based on the detection of activation and deactivation patterns using a change-point approach on the variances of the sample. More concretely, an iterative algorithms is proposed to select the change-points between two segments of the signal based on some local statistics introduced in this work. The signal is split up into two segments, and a new search for change-points is recursively conducted in each subsequence. The change-points make possible to calculate local envelopes which reflect the shape of the signal without ignoring the activation and deactivation landmarks. Two methods are proposed in this work, and the improvements with respect to methodologies available in the literature are shown using both synthetic and real data. A thorough analysis of the techniques is performed to that end.


Introduction


Electromyography (EMG) signals are an important topic of active research in view of their wide range of medical applications. For example, EMG signals have been classified using different criteria in order to diagnose neuromuscular disorders [1], they have been used as a tool in the evaluation of generalized tonic–clonic seizure semiology [2], in the recognition of emotions using facial recordings and statistical methods [3], in the automatic control of upper limbprosthesis [4], as a criterionto determine the differences in lower-extremity muscular activation walking between older and young adults [5], in the investigation of neck and shoulder muscle activity of orthodontists in natural environments [6] and as a mechanism to measure shoulder muscle fatigue during repetitive tasks [7] among other interesting biomedical applications. It is important to recall that EMG signals are measurements of the difference of electric potentials between two electrodes. In turn, these measurements are highly correlated to the intensity in muscular activity [8]. There are various well-established procedures to record EMG signals, one of them is called superficial electromyography (sEMG), which consists in placing the electrodes over the skin covering the muscle of interest using a conductive gel to get better data readings [9]. An sEMG signal is essentially a random stationary temporal series in which the activity of the measured muscle is reflected as an increase in the signal amplitude (also called a ‘burst’ in this work). Muscular activity may be identified by finding the localization, duration, shape and amplitude of those bursts in the electric signal.

  • اشتراک گذاری در

دیدگاه خود را بنویسید:

تاکنون دیدگاهی برای این نوشته ارسال نشده است

پوشش سیگنال الکترونیکی الکترومیوگرافی
نوشته های مرتبط
مقالات جدید
لوگوی رسانه های برخط

logo-samandehi

پیوندها