Forwarded from کتابخانه مهندسی پزشکی
Andrea_Varsavsky__Iven_Mareels_.pdf
16 MB
با سلام
کارگاه آموزش MATLAB با رویکردی کاربردی در نوروساینس، با توجه به دلایلی بعد از عید نوروز برگزار خواهد شد.
کارگاه آموزش MATLAB با رویکردی کاربردی در نوروساینس، با توجه به دلایلی بعد از عید نوروز برگزار خواهد شد.
EEG workshop via @vote
با سلام خدمت اعضای محترم کانال پردازش سیگنال های مغزی، متقاضیان شرکت در کارگاه، لطفا نظرتون را در مورد کارگاه آتی بفرماید. با تشکر ، 🗳کارگاه ثبت و پردازش سیگنال های مغزی که قرار است در آخر هفته اول اردیبهشت ماه سال 96 برگزار گردد به چه صورت باشد؟
anonymous poll
سه روزه، روز اول ثبت و پردازش، روز دوم پردازش با EEGLAB، روز سوم پردازش سیگنال با EEGLAB و کار با SIFT – 57
👍👍👍👍👍👍👍 66%
دو روزه، روز اول ثبت و پردازش، روز دوم پردازش و آموزش EEGLAB – 15
👍👍 17%
دو روزه، هر دو روز پردازش سیگنال, کار باEEGLAB و SIFT – 15
👍👍 17%
👥 87 people voted so far.
anonymous poll
سه روزه، روز اول ثبت و پردازش، روز دوم پردازش با EEGLAB، روز سوم پردازش سیگنال با EEGLAB و کار با SIFT – 57
👍👍👍👍👍👍👍 66%
دو روزه، روز اول ثبت و پردازش، روز دوم پردازش و آموزش EEGLAB – 15
👍👍 17%
دو روزه، هر دو روز پردازش سیگنال, کار باEEGLAB و SIFT – 15
👍👍 17%
👥 87 people voted so far.
Forwarded from EEG workshop
👇🏻👇🏻👇🏻
________________________
💻سایت کارگاه پردازش سیگنال های مغزی:
✅👉👉biomedeng.ir/eegworkshop
📱کانال تلگرام کارگاه پردازش سیگنال های مغزی:
🆔👉👉 @EEGworkshop
________________________
💻سایت کارگاه پردازش سیگنال های مغزی:
✅👉👉biomedeng.ir/eegworkshop
📱کانال تلگرام کارگاه پردازش سیگنال های مغزی:
🆔👉👉 @EEGworkshop
Forwarded from EEG workshop
ERP.pdf
2.5 MB
مقدمه ای بر پتانسیل های وابسته به رویداد و منشا نرونی آن ها(گردآوری شده)
💻سایت کارگاه پردازش سیگنال های مغزی:
✅biomedeng.ir/eegworkshop
📱کانال تلگرام کارگاه پردازش سیگنال های مغزی
🆔 @EEGworkshop
💻سایت کارگاه پردازش سیگنال های مغزی:
✅biomedeng.ir/eegworkshop
📱کانال تلگرام کارگاه پردازش سیگنال های مغزی
🆔 @EEGworkshop
Dear all,
Please find below an announcement for a post-doc position to work on a project of TMS-EEG coregistration, located at the Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia (Italy), led by prof. Carlo Miniussi.
We would be mostly grateful if you could circulate this notice to possibly interested candidates.
Cheers,
Marta Bortoletto and Anna Fertonani
Marta Bortoletto, PhD
Cognitive Neuroscience Section,
IRCCS Centro San Giovanni di Dio Fatebenefratelli
Via Pilastroni 4, 25125 Brescia, Italy
Phone number: (+39) 0303501594
E-mail: marta.bortoletto@cognitiveneuroscience.it
web: http://www.cognitiveneuroscience.it/
Job denoscription
The Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, led by Prof. Carlo Miniussi is seeking to recruit a post-doctoral research fellow to work on a project of TMS-EEG coregistration. This is part of projects funded by BIAL foundation and FISM foundation, in collaboration with the University of Genova, ASST Spedali Civili di Brescia and the Center for Mind/Brain Sciences CIMeC of the University of Trento. The research focus of these projects is the effects of non-invasive brain stimulation (TMS and tES) on cortical networks of the human brain during motor and perceptual tasks and their contributions to learning.
The post is available from May 2017 and is funded for one year in the first instance, with the possibility of extension for further 2 years.
Key Requirements
• We are seeking for aspiring individuals with substantial experience in TMS-EEG or EEG research and strong computational abilities.
• The applicants should also be interested in studying cortical networks and their disorders.
• Successful candidates should have a background and PhD degree in a neuroscience-related field,
broadly specified, and skills for working with complex empirical data and human subjects.
• Applicants should have experience with conducting experimental research, hands-on knowledge in
EEG method, and documented skills in at least one programming language (preferably Matlab).
• Good command of the English language (written and oral), as well as skills for teamwork in a
multidisciplinary research group, are required.
• Experience with advanced EEG signal processing, EEG source localization, connectivity analyses
and a strong publication record are an advantage.
What we offer
• Gross salary: 25.000-28.000 euro per annum
• Excellent working environment
• Opportunity to work in a motivated, skilled, inspired and supportive group
• A chance to work in Italy – one of the most beautiful countries in the world
To apply, please send the following items, as ONE PDF FILE and via email to Dr. Anna Fertonani (anna.fertonani@cognitiveneuroscience.it) preferably by March 31st 2017. Later applications will be considered until the position is filled.
• A letter of intent including a brief denoscription of your past and current research interests
• Curriculum vitae including the list of your publication and degrees
• Names and contact information of 2 referees.
For further information please contact
Anna Fertonani
IRCCS Centro San Giovanni di Dio Fatebenefratellianna.fertonani@cognitiveneuroscience.it
About the employer
The IRCCS San Giovanni di Dio Fatebenefratelli is operating since 120 years and has been appointed and funded as national centre of excellence in research and care by the Italian Ministry of Health since 1996. More than 4500 patients with Alzheimer’s Dementia or associated disorders and about 1700 patients with psychiatric diseases are treated each year. The research division, besides the Cognitive Neuroscience Section, includes the laboratories of Genetics, Neuropsychopharmacology, Neurobiology, Proteomic, Neuroimaging, Ethic and Epidemiology and employs about fifty professional researchers.
Please find below an announcement for a post-doc position to work on a project of TMS-EEG coregistration, located at the Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia (Italy), led by prof. Carlo Miniussi.
We would be mostly grateful if you could circulate this notice to possibly interested candidates.
Cheers,
Marta Bortoletto and Anna Fertonani
Marta Bortoletto, PhD
Cognitive Neuroscience Section,
IRCCS Centro San Giovanni di Dio Fatebenefratelli
Via Pilastroni 4, 25125 Brescia, Italy
Phone number: (+39) 0303501594
E-mail: marta.bortoletto@cognitiveneuroscience.it
web: http://www.cognitiveneuroscience.it/
Job denoscription
The Cognitive Neuroscience Unit, IRCCS Centro San Giovanni di Dio Fatebenefratelli, led by Prof. Carlo Miniussi is seeking to recruit a post-doctoral research fellow to work on a project of TMS-EEG coregistration. This is part of projects funded by BIAL foundation and FISM foundation, in collaboration with the University of Genova, ASST Spedali Civili di Brescia and the Center for Mind/Brain Sciences CIMeC of the University of Trento. The research focus of these projects is the effects of non-invasive brain stimulation (TMS and tES) on cortical networks of the human brain during motor and perceptual tasks and their contributions to learning.
The post is available from May 2017 and is funded for one year in the first instance, with the possibility of extension for further 2 years.
Key Requirements
• We are seeking for aspiring individuals with substantial experience in TMS-EEG or EEG research and strong computational abilities.
• The applicants should also be interested in studying cortical networks and their disorders.
• Successful candidates should have a background and PhD degree in a neuroscience-related field,
broadly specified, and skills for working with complex empirical data and human subjects.
• Applicants should have experience with conducting experimental research, hands-on knowledge in
EEG method, and documented skills in at least one programming language (preferably Matlab).
• Good command of the English language (written and oral), as well as skills for teamwork in a
multidisciplinary research group, are required.
• Experience with advanced EEG signal processing, EEG source localization, connectivity analyses
and a strong publication record are an advantage.
What we offer
• Gross salary: 25.000-28.000 euro per annum
• Excellent working environment
• Opportunity to work in a motivated, skilled, inspired and supportive group
• A chance to work in Italy – one of the most beautiful countries in the world
To apply, please send the following items, as ONE PDF FILE and via email to Dr. Anna Fertonani (anna.fertonani@cognitiveneuroscience.it) preferably by March 31st 2017. Later applications will be considered until the position is filled.
• A letter of intent including a brief denoscription of your past and current research interests
• Curriculum vitae including the list of your publication and degrees
• Names and contact information of 2 referees.
For further information please contact
Anna Fertonani
IRCCS Centro San Giovanni di Dio Fatebenefratellianna.fertonani@cognitiveneuroscience.it
About the employer
The IRCCS San Giovanni di Dio Fatebenefratelli is operating since 120 years and has been appointed and funded as national centre of excellence in research and care by the Italian Ministry of Health since 1996. More than 4500 patients with Alzheimer’s Dementia or associated disorders and about 1700 patients with psychiatric diseases are treated each year. The research division, besides the Cognitive Neuroscience Section, includes the laboratories of Genetics, Neuropsychopharmacology, Neurobiology, Proteomic, Neuroimaging, Ethic and Epidemiology and employs about fifty professional researchers.
The Cognitive Neuroscience Unit is provided with several state-of-the-art devices necessary for the application of brain stimulation techniques (transcranial magnetic stimulation: TMS, rTMS, and transcranial electrical stimulation: tDCS, tACS and tRNS) and for the recording and the analysis of electrophysiological signals (EEG, EMG) as well as neuropsychological testing. The simultaneous co- registration of electroencephalography and TMS application is also available, field where we have been pioneers in the national research.
Forwarded from EEG workshop
mi2.pdf
86.4 MB
جزوه درس انفورماتیک 2 قسمتهای مرتبط با مفاهیم نمونه برداری از سیگنال، سیگنال دیجیتال، فیلتر کردن، تخمین طیف FFT، استخراج ویژگی، طبقه بندی با KNN, LDA
The purpose of this study is to extend a feature set with non-linear features to improve classification rate of guilty
and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related
Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For
feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we
call them basic-features) are extracted from each single-trial ERP. Recurrence Quantification Analysis (RQA)
measures are then computed as non-linear features from each single-trial. We apply Genetic Algorithm (GA)
to select the best feature set and this feature set is used for classification of data using Linear Discriminant Anal-
ysis (LDA) classifier. Next, we use a new approach to improve classification results based on introducing an adap-
tive-threshold. Results indicate that our method is able to correctly detect 91.83% of subjects (45 correct
detection of 49 subjects) using combination of basic and non-linear features, that is higher than 87.75% for
basic and 79.59% for non-linear features. This shows that combination of non-linear and basic- features could im-
prove classification rate
and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related
Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For
feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we
call them basic-features) are extracted from each single-trial ERP. Recurrence Quantification Analysis (RQA)
measures are then computed as non-linear features from each single-trial. We apply Genetic Algorithm (GA)
to select the best feature set and this feature set is used for classification of data using Linear Discriminant Anal-
ysis (LDA) classifier. Next, we use a new approach to improve classification results based on introducing an adap-
tive-threshold. Results indicate that our method is able to correctly detect 91.83% of subjects (45 correct
detection of 49 subjects) using combination of basic and non-linear features, that is higher than 87.75% for
basic and 79.59% for non-linear features. This shows that combination of non-linear and basic- features could im-
prove classification rate
این پیام جنبه اطلاع رسانی دارد و به درخواست مجری محترم این پیام در کانال قرار گرفته است و مجری عهده دار تمام موارد طرح میباشد:
#اطلاع_رسانی
با سلام
اینجانب وحیده کرباسی دانشجوی مقطع دکتری رشتهی علوم اعصاب شناختی در پژوهشکده علوم شناختی هستم. برای انجام پایاننامه به ثبت سیگنال EEG از تعدادی از افراد داوطلب نیاز دارم.
شرایط افراد:
آقایان 18 تا 35 سال، راست دست، فارسیزبان با تحصیلات حداقل دیپلم
عدم تجربهی مصرف داروهای روانپزشکی و داروهای روانگردان،
عدم سابقه بیماری های صرع، تشنج و سایر بیماریهای روانی در خود و بستگان نزدیک
نداشتن پیس میکرهای قلبی
توضیح پروژه: تعدادی تصویر چهره بر روی مانیتور نمایش داده خواهد شد و از فرد درخواست می شود که حالت چهره تصویر را مشخص کند. حالت های چهره عبارتند از خوشحالی- ناراحتی- عصبانیت و حالت خنثی .
در عین حال از افراد ثبت سیگنال انجام خواهد شد. کل مدت زمان آزمایش یک ساعت خواهد بود.
محل انجام پروژه: آزمایشگاه عصب شناسی انسانی، پژوهشکده علوم شناختی، فاز 4 شهرجدید پردیس
شایان ذکر است که این پروژه کاملاً برای افراد بیخطر بوده و به تأیید کمیتهی اخلاق در پژوهش دانشگاه علوم پزشکی ایران رسیده است.
جهت هماهنگی میتوانید به آدرس ایمیل kava62003@yahoo.com و یا شماره تلگرام 09212056208 پیام دهید.
در ضمن جهت قدردانی از افراد شرکت کننده کارت هدیه ای نیز تقدیم خواهد شد.
با سپاس فراوان
#اطلاع_رسانی
با سلام
اینجانب وحیده کرباسی دانشجوی مقطع دکتری رشتهی علوم اعصاب شناختی در پژوهشکده علوم شناختی هستم. برای انجام پایاننامه به ثبت سیگنال EEG از تعدادی از افراد داوطلب نیاز دارم.
شرایط افراد:
آقایان 18 تا 35 سال، راست دست، فارسیزبان با تحصیلات حداقل دیپلم
عدم تجربهی مصرف داروهای روانپزشکی و داروهای روانگردان،
عدم سابقه بیماری های صرع، تشنج و سایر بیماریهای روانی در خود و بستگان نزدیک
نداشتن پیس میکرهای قلبی
توضیح پروژه: تعدادی تصویر چهره بر روی مانیتور نمایش داده خواهد شد و از فرد درخواست می شود که حالت چهره تصویر را مشخص کند. حالت های چهره عبارتند از خوشحالی- ناراحتی- عصبانیت و حالت خنثی .
در عین حال از افراد ثبت سیگنال انجام خواهد شد. کل مدت زمان آزمایش یک ساعت خواهد بود.
محل انجام پروژه: آزمایشگاه عصب شناسی انسانی، پژوهشکده علوم شناختی، فاز 4 شهرجدید پردیس
شایان ذکر است که این پروژه کاملاً برای افراد بیخطر بوده و به تأیید کمیتهی اخلاق در پژوهش دانشگاه علوم پزشکی ایران رسیده است.
جهت هماهنگی میتوانید به آدرس ایمیل kava62003@yahoo.com و یا شماره تلگرام 09212056208 پیام دهید.
در ضمن جهت قدردانی از افراد شرکت کننده کارت هدیه ای نیز تقدیم خواهد شد.
با سپاس فراوان