0% Complete
English
صفحه اصلی
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
Design and fabrication of a cost-effective dry electrode for electroencephalography (EEG) signal acquisition
نویسندگان :
Sobhan Sheykhivand
1
Nastaran Khaleghi
2
Lida Zareh Lahijan
3
1- Department of Biomedical Engineering Faculty of Interdisciplinary sciences and technologies Bonab, Iran
2- Department of Biomedical Engineering Faculty of Electrical and Computer Tabriz, Iran
3- Department of Biomedical Engineering Faculty of Electrical and Computer Tabriz, Iran
کلمات کلیدی :
Bio-signal،Electroencephalography (EEG)،Dry Electrode،Contact Impedance،Sintering Method
چکیده :
An electrode is a conductive material that, on one side, is connected to a metallic component (such as a copper wire) and, on the other side, to a non-metallic component (such as a semiconductor, electrolyte, or vacuum) within an electrical circuit, establishing a connection between them. Biological electrodes provide a link between the human body and an electrical circuit, ultimately enabling the circuit to transmit useful data to a computer for analysis in various applications. Various types of electrodes are used for recording bio-potentials, which, based on the type of contact, can be classified into two categories: (1) wet electrodes and (2) dry electrodes. Wet electrodes require the application of conductive materials, such as conductive gel, before attachment to ensure optimal contact. However, these materials can cause inconveniences for both the patient and the operator, such as the need to prepare the skin (e.g., shaving) or to clean the site after signal acquisition. Consequently, dry electrodes have become increasingly popular due to their ease of use for both patients and operators. Nonetheless, one challenge of this type of electrode is the high electrical contact impedance caused by the absence of conductive substances. In this study, a low-cost dry electrode based on a silver-powder sintering process on a copper substrate was designed to enhance EEG signal quality and signal-to-noise ratio (SNR) without requiring conductive gels.
لیست مقالات
لیست مقالات بایگانی شده
Electrochemical Biosensors Based on Polyaniline Nanostructures: An Analysis of Advances, Performance Challenges, and the Outlook for Smart Systems
Nasim Kharazminezhad - Ramez Pourahmad
A Comprehensive Architecture for Smart Hospitals: Leveraging IoT, AI, and Data Science
Jafar Abdollahi - Laya Mahmoudi - Babak Nouri-Moghaddam
Optimization and Novel insights: The convergence of Quantum Computing and Data Science in Engineering Application
Nayereh Majd
یک مدل برنامهریزی پویا برای استقرار زنجیرههای تابعی سرویس در محاسبات ابری ابر تاریک
حامد منکرسی - غلامرضا احمدی
کاربرد هوش مصنوعی در صنعت
بهزاد بالازاده - دکتر حسین بوداقی - مرتضی محمود زاده
نقش هوش مصنوعی در بازاریابی صنعتی B2B
علی نظیری فیروز سالاری - زهرا کریمی فرنور
رویکردهای مدیریت مالی با استفاده از فناوریهای هوشمند
حسن هاتف - سید محمد عالی نژاد - سید جبار عالی نژاد
Leveraging Normal White Matter Hyperintensity Context for Enhanced Pathological Segmentation via Multi-Class Deep Learning
Mahdi Bashiri Bawil - Mousa Shamsi - Ali Fahmi Jafargholkhanloo - Abolhassan Shakeri Bavil
مروری بر مراحل اصلی توسعه مدلهای زبانی در هوش مصنوعی مولد
زهرا روزبهانی
عصر جدید مدلسازی بیومکانیکی با یادگیری ماشین آگاه از فیزیک
علی یعقوبیان - فائزه یعقوبیان
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2