0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Automatic Classification of Parkinson’s Disease Using Best Parameters of Forward and Backward Walking
نویسندگان :
Atiye Riasi
1
Mehdi Delrobaei
2
1- دانشگاه صنعتی خواجه نصیرالدین طوسی
2- دانشگاه صنعتی خواجه نصیرالدین طوسی
کلمات کلیدی :
Parkinson’s disease, classification, gait, machine learning, forward walking, backward walking
چکیده :
This study aims to investigate the discriminative gait features of forward and backward walking to provide a combination of the most relevant parameters. These parameters would potentially help the clinicians to follow quantitative methods in diagnosing Parkinson's disease. In this paper, the statistically significant gait features are narrowed down from 46 to 30, 20, 10, and 5, using the minimal-redundancy-maximal-relevance feature selection method. The selected features were then fed to Random Forest and Support Vector Machine classifiers to evaluate the ability of features in discriminating Parkinson's disease and control groups. According to the results, we selected to use Random Forest classifier in our algorithm. Applying our algorithm on a database comprising 62 Parkinson's disease patients and 11 control participants, we achieved the average accuracy of 93.9 and 88 in 10 iterations of Random Forest and Support Vector Machine, respectively. Using the minimal-redundancy-maximal-relevance feature selection and mean decrease in accuracy and Gini index of the Random Forest classifier, we find the critical role of backward walking parameters like the average of stance time, step length, and swing time in classification results.
لیست مقالات
لیست مقالات بایگانی شده
ارزیابی عملی قابلیت مکانیابی عیب تخلیه جزئی در ترانسفورماتورهای قدرت با استفاده از روش تابع تبدیل سیم پیچ
حسن رضا میرزائی - علیرضا میرزائی - کریم میرعلیخانی
تخمین کانال های پهپاد به پهپاد با استفاده از فیلتر کالمن توسعه یافته
فهیمه رنجبر - محمدعلی سبقتی
Wide-band Cloaking of Finite Length PEC Cylindrical Objects under Oblique Incidence using Multi-Layer Mantle Cloak
Alireza Moosaei - Mohammad Hasan Neshati
Heterogeneous Coverage Path Planning For Multi- Agent systems with ACO and GA
Mohammad Hasan Jalili Bahabadi - ََAmir Mahdavi - Saeed Khankalantary
Non-Invasive Blood Pressure Estimation using Poincaré Plot Indices of Photoplethysmography Signals
Fatemeh Shoeibi - Esmaeil Najafiaghdam - Afshin Ebrahimi
Anomaly Detection in Urban Water Distribution Grids Using Fog Computing Architecture
Sara Mirzaie - Mohammadreza Avazaghaei - Omid Bushehrian
مدلسازی ریاضی و شبیه سازی پاندمی کووید 19در ایران
شبنم کوهستانی - نیلوفر مظفری - سید محمدرضا موسوی
Medical Ultrasound Image Restoration in Presence of Defective Transducer Elements
Mohammad Saeed Zare Dehabadi - Mehran Jahed
Broadband Two Layers 1-Bit Metal-Only Transmitarray with Polarization Conversion Technique
Majid Karimipour - Iman Aryanian
Flexible Generation Expansion Planning Considering Representative Days of Load and Renewable Variations
Peyman Amirian - Zeinab Maleki - Mohammad-Amin Pourmoosavi - Turaj Amraee
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2