Borhan Beigzadeh
Biomechatronics and Cognitive Engineering Research Lab, School of Mechanical Engineering, Iran University of Science and Engineering
[ 1 ] - Effect of static magnetic field on the hemodynamic properties of blood flow containing magnetic substances
The use of magnetic fields in targeted drug delivery, especially for treatment of cancers and tumoral regions, is one of the significant techniques in the field of modern methods of treatment. Considering that many vital biological tissues have been located deep in the body, then for targeted drug delivery and effective treatment in these tissues, it is required to bring therapeutic agent to th...
[ 2 ] - From Passive Dynamic Walking to Passive Turning of Biped walker
Dynamically stable biped robots mimicking human locomotion have received significant attention over the last few decades. Formerly, the existence of stable periodic gaits for straight walking of passive biped walkers was well known and investigated as the notion of passive dynamic walking. This study is aimed to elaborate this notion in the case of three dimensional (3D) walking and extend it f...
[ 3 ] - Classification of Iranian traditional musical modes (DASTGÄH) with artificial neural network
The concept of Iranian traditional musical modes, namely DASTGÄH, is the basis for the traditional music system. The concept introduces seven DASTGÄHs. It is not an easy process to distinguish these modes and such practice is commonly performed by an experienced person in this field. Apparently, applying artificial intelligence to do such classification requires a combination of the basic infor...
[ 4 ] - اندازهگیری غیرتهاجمی میزان غلظت خون به کمک منابع نوری با طول موجهای مختلف
مانیتورینگ علائم حیاتی بدن مثل ضربان قلب، درصد اکسیژن خون و فشار خون با توجه به رشد بیماری های قلبی و عروقی در جهان به یک ضرورت تبدیل شده است. در سال های اخیر استفاده کردن از سیگنال فوتوپلتیسموگرافی تصویری جهت اندازه گیری علائم حیاتی همواره یکی از موضوعهای مورد علاقهی محققان بوده است. بیماری آنمی یا کم خونی یکی از بیماریهای شایع در بین افراد به خصوص در بین زنان شناخته میشود که ناشی از کم شد...