Phương pháp phát hiện và loại bỏ các hiện tượng gây nhiễu từ mắt trong các tín hiệu EEG trong hệ thống cảnh báo lái xe buồn ngủ: Một khảo sát

Multimedia Tools and Applications - Tập 82 Số 12 - Trang 17687-17714 - 2023
Mohammedi, Mohamed1, Omar, Mawloud2, Bouabdallah, Abdelmadjid3
1Laboratoire d’Informatique Médicale, Faculté des Sciences Exactes, Université de Bejaia, Bejaia, Algérie
2IRISA / Université Bretagne Sud, Vannes, France
3Sorbonne Universités, Université de Technologie de Compiegne, CNRS, Heudiasyc UMR 7253, CS 60 319, Compiegne, France

Tóm tắt

Trong thập kỷ qua, tình trạng buồn ngủ khi lái xe đã được xác định là một yếu tố chính gây ra nhiều vụ tai nạn giao thông chết người trên toàn thế giới. Vấn đề phổ biến này đã gây ra thiệt hại nghiêm trọng về sinh mạng, thương tích, hư hỏng tài sản và thiệt hại kinh tế ở nhiều khu vực trên thế giới. Chính vì vậy, đã có nhiều nỗ lực để giới thiệu các hệ thống phát hiện buồn ngủ của tài xế nhằm giảm thiểu và ngăn ngừa tai nạn giao thông tại nhiều thành phố trên thế giới. Trong số các hệ thống hỗ trợ lái xe hiện có, hệ thống dựa trên việc đo tín hiệu EEG là phổ biến và có liên quan nhất. Tuy nhiên, tín hiệu EEG dễ bị ảnh hưởng bởi nhiều loại nhiễu xuất phát từ các nguồn khác ngoài não, chẳng hạn như hoạt động cơ bắp (EMG), hoạt động tim (ECG) và hoạt động mắt (EOG). Trong số đó, hiện tượng gây nhiễu từ mắt là một trong những nguồn gây nhiễu quan trọng nhất. Trong bài báo này, chúng tôi trình bày một cái nhìn sâu sắc về các kỹ thuật được sử dụng để phát hiện và loại bỏ các hiện tượng gây nhiễu từ mắt trong các ghi nhận EEG cho tất cả các ứng dụng cảnh báo buồn ngủ dựa trên EEG. Đầu tiên, chúng tôi giới thiệu tổng quan về một số loại nhiễu quan trọng có thể quan sát trong tín hiệu EEG và nghiên cứu tác động của chúng đối với các ứng dụng phát hiện buồn ngủ. Tiếp theo, chúng tôi xem xét nhiều phương pháp loại bỏ nhiễu, phân loại và so sánh chúng dựa trên khả năng loại bỏ hiện tượng EOG. Cuối cùng, chúng tôi cung cấp một ý tưởng đổi mới dựa trên đám mây IoT, có thể là bước tiếp theo cho việc lái xe an toàn, để cảnh báo tài xế khi họ đang buồn ngủ.

Từ khóa


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