Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease
المؤلفون المشاركون
Tepper, Ángeles
Henrich, Mauricio Carlos
Schiaffino, Luciano
Rosado Muñoz, Alfredo
Gutiérrez, Antonio
Guerrero Martínez, Juan
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-24
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Deep Brain Stimulation (DBS) is a surgical procedure for the treatment of motor disorders in patients with Parkinson’s Disease (PD).
DBS involves the application of controlled electrical stimuli to a given brain structure.
The implantation of the electrodes for DBS is performed by a minimally invasive stereotactic surgery where neuroimaging and microelectrode recordings (MER) are used to locate the target brain structure.
The Subthalamic Nucleus (STN) is often chosen for the implantation of stimulation electrodes in DBS therapy.
During the surgery, an intraoperative validation is performed to locate the dorsolateral region of STN.
Patients with PD reveal a high power in the β band (frequencies between 13 Hz and 35 Hz) in MER signal, mainly in the dorsolateral region of STN.
In this work, different power spectrum density methods were analyzed with the aim of selecting one that minimizes the calculation time to be used in real time during DBS surgery.
In particular, the results of three nonparametric and one parametric methods were compared, each with different sets of parameters.
It was concluded that the optimum method to perform the real-time spectral estimation of beta band from MER signal is Welch with Hamming windows of 1.5 seconds and 50% overlap.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tepper, Ángeles& Henrich, Mauricio Carlos& Schiaffino, Luciano& Rosado Muñoz, Alfredo& Gutiérrez, Antonio& Guerrero Martínez, Juan. 2017. Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1139838
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tepper, Ángeles…[et al.]. Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1139838
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tepper, Ángeles& Henrich, Mauricio Carlos& Schiaffino, Luciano& Rosado Muñoz, Alfredo& Gutiérrez, Antonio& Guerrero Martínez, Juan. Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson’s Disease. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1139838
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139838
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر