Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Phương pháp trích xuất đặc trưng mới để phát hiện tín hiệu EEG động kinh sử dụng phân phối thời gian-tần số
Tóm tắt
Bài báo này mô tả một phương pháp mới để nhận diện cơn co giật trong tín hiệu điện não (EEG) bằng cách sử dụng trích xuất đặc trưng trong các phân phối thời gian-tần số (TFDs). Cụ thể, phương pháp này trích xuất các đặc trưng từ phân phối Wigner-Ville giả mượt mà bằng cách sử dụng các đường đi ước lượng từ mô hình sinsoidal McAulay-Quatieri. Các đặc trưng được đề xuất bao gồm độ dài, tần số và năng lượng của đường đi chính. Chúng tôi đánh giá sơ đồ đề xuất bằng cách sử dụng nhiều bộ dữ liệu và tính toán độ nhạy, độ đặc hiệu, điểm F, đường đặc trưng hoạt động của bộ nhận (ROC), và độ tin cậy bootstrap percent để kết luận rằng sơ đồ đề xuất tổng quát tốt và là một phương pháp phù hợp cho việc phát hiện cơn co giật tự động với chi phí vừa phải, đồng thời mở ra khả năng xây dựng các tiêu chí mới để phát hiện, phân loại hoặc phân tích các tín hiệu EEG bất thường.
Từ khóa
#điện não #phát hiện cơn co giật #trích xuất đặc trưng #phân phối thời gian-tần số #Wigner-VilleTài liệu tham khảo
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